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Day and night pedestrian detection using cascade AdaBoost system

Pietro Cerri, Luca Gatti, Luca Mazzei, Fabio Pigoni, Ho Gi Jung
<span title="">2010</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/cfmch5qrm5ckxpkho4uhbkgznm" style="color: black;">13th International IEEE Conference on Intelligent Transportation Systems</a> </i> &nbsp;
This paper presents the results of an all-day-Iong pedestrian classification system based on an AdaBoost cascade meta-algorithm.  ...  In the paper the night time and the ad-hoc features systems are presented together with the cascade classification and quantitative results.  ...  The authors gratefully thank Alberto Broggi for his support and review of this project.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/itsc.2010.5625019">doi:10.1109/itsc.2010.5625019</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/itsc/CerriGMPJ10.html">dblp:conf/itsc/CerriGMPJ10</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/k5wjstlvhbblboftif5u3znssy">fatcat:k5wjstlvhbblboftif5u3znssy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170808015629/http://www.ce.unipr.it/people/bertozzi/pap/cr/itsc2010-mando.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/7f/a9/7fa95f5463d0f0452cf6f7103f70c05b86cc77b3.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/itsc.2010.5625019"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

hild and Adult Classification Using Biometric Features Based on Video Analytics

Omer Faruk Ince, Ibrahim Furkan Ince, Jang-Sik Park, Jong-Kwan Song, Byung-Woo Yoon
<span title="">2017</span> <i title="ICIC International"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ggvwll4d4nbxdk5zvkllrwev3m" style="color: black;">Innovative Computing Information and Control Express Letters, Part B: Applications</a> </i> &nbsp;
In terms of that, the goal of this study is classification of pedestrian in two categories as a child and an adult. In this study, Haar cascade classifiers are used.  ...  As the importance of the function of pedestrian detection is socially agreed upon, more studies on image and video based pedestrian detection have been conducted.  ...  Adaboost algorithm based Haar cascaded classifiers are used to detect the pedestrian's full body in the scene. The first step is detecting the pedestrian body.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.24507/icicelb.08.05.819">doi:10.24507/icicelb.08.05.819</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/gq5jpe66qbgfvmyhxw7uc4rrse">fatcat:gq5jpe66qbgfvmyhxw7uc4rrse</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201220061957/http://www.icicelb.org/ellb/contents/2017/5/elb-08-05-03.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/fc/4a/fc4a1fc384308744987390bd968efa02bacfde5a.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.24507/icicelb.08.05.819"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Child And Adult Classification Using Biometric Features Based On Video Analytics

Omer Faruk Ince, Ibrahim Furkan Ince, Jang Sik Park, Jong Kwan Song, Byung Woo Yoon
<span title="2017-05-30">2017</span> <i title="Zenodo"> Zenodo </i> &nbsp;
In terms of that, the goal of this study is classification of pedestrian in two categories as a child and an adult. In this study, Haar cascade classifiers are used.  ...  As the importance of the function of pedestrian detection is socially agreed upon, more studies on image and video based pedestrian detection have been conducted.  ...  Adaboost algorithm based Haar cascaded classifiers are used to detect the pedestrian's full body in the scene. The first step is detecting the pedestrian body.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5281/zenodo.890713">doi:10.5281/zenodo.890713</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/tt4wbhbjezcv5e5bcndhim7vim">fatcat:tt4wbhbjezcv5e5bcndhim7vim</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201228192408/https://zenodo.org/record/890713/files/Child_and_Adult_Classification_Using_Biometric_Features_Based_On_Video_Analytics.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/09/3a/093a6229d37ad30b53df2e1e8f1f5ec68d3afcda.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5281/zenodo.890713"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> zenodo.org </button> </a>

Pedestrian Detection in Infrared Images based on Local Shape Features

Li Zhang, Bo Wu, Ram Nevatia
<span title="">2007</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ilwxppn4d5hizekyd3ndvy2mii" style="color: black;">2007 IEEE Conference on Computer Vision and Pattern Recognition</a> </i> &nbsp;
Two feature classes (edgelets and HOG features) and two classification models(AdaBoost and SVM cascade) are extended to IR images.  ...  Use of IR images is advantageous for many surveillance applications where the systems must operate around the clock and external illumination is not always available.  ...  We hope that these results and observations will help promote further research into use of the IR images which have some inherent advantages for around the clock usage in environments that can not be conveniently  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/cvpr.2007.383452">doi:10.1109/cvpr.2007.383452</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/cvpr/ZhangWN07.html">dblp:conf/cvpr/ZhangWN07</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/xnvn24qxe5f7rk72ryg24owv2q">fatcat:xnvn24qxe5f7rk72ryg24owv2q</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170809113156/http://iris.usc.edu/outlines/papers/2007/zhang-nev-wu-otcbvs07.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/47/48/47487890e557213e9eb0c1467d81f60dfafa5c22.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/cvpr.2007.383452"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Methods for vehicle detection and vehicle presence analysis for traffic applications

Oliver Sidla, Yuriy Lipetski, Robert P. Loce, Eli Saber
<span title="2014-03-05">2014</span> <i title="SPIE"> Video Surveillance and Transportation Imaging Applications 2014 </i> &nbsp;
This paper presents our work towards robust vehicle detection in dynamic and static scenes from a brief historical perspective up to our current state-of-the-art.  ...  We show that with this approach it is possible to create a HOG cascade which has comparable performance to an AdaBoost trained cascade, but is much faster to evaluate.  ...  The system has been running at the test site for 3 months during day and night. The processing loop takes 5 Seconds on a motherboard equipped with an Intel Atom processor.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1117/12.2036553">doi:10.1117/12.2036553</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/3kvysrvuqna5poi2glaq2lt75u">fatcat:3kvysrvuqna5poi2glaq2lt75u</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170814101241/http://static1.1.sqspcdn.com/static/f/523707/25308751/1407851664933/Methods+for+vehicle+detection+and+vehicle+presence+analysis+for+traffic+applications.pdf?token=Go2PSeb0Z6z%2FjdV9lIh5Ss1lA2o%3D" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/c1/00/c100cb3ee6326d4f420c3be27b1232de6cd3bc8d.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1117/12.2036553"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Intelligent Pedestrian Detection using Optical Flow and HOG

Huma Ramzan, Bahjat Fatima, Ahmad R., Sheikh Ziauddin, Asad Ali
<span title="">2016</span> <i title="The Science and Information Organization"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2yzw5hsmlfa6bkafwsibbudu64" style="color: black;">International Journal of Advanced Computer Science and Applications</a> </i> &nbsp;
We present an automated pedestrian detection system by finding pedestrians' motion patterns and combing them with HOG features.  ...  In literature, feature based approaches have been mostly used for pedestrian detection.  ...  Visible cameras are more commonly used because pedestrian detection is mainly focused on day time as compared to thermal infrared cameras that are used on night time [8] .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.14569/ijacsa.2016.070955">doi:10.14569/ijacsa.2016.070955</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/cgrqvjp2gncijnec752c6x6c5q">fatcat:cgrqvjp2gncijnec752c6x6c5q</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180719052402/http://thesai.org/Downloads/Volume7No9/Paper_55-Intelligent_Pedestrian_Detection_using_Optical_Flow.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/9e/bd/9ebd150e340fd7e1f67cd50458e80508d6332c1b.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.14569/ijacsa.2016.070955"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

Performance Benchmark in Febrile Mass Screening Detection

Siti Sofiah, Kamarul Hawari, Sabira Khatun
<span title="">2020</span> <i title="Universitas Muhammadiyah Yogyakarta"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ekekqi4ltngq3beq42wrki25l4" style="color: black;">Emerging Information Science and Technology</a> </i> &nbsp;
We also analyze the best approach to be adopted in the detection using a new context of training and evaluation.  ...  Recently, detecting and tracking people using infrared sensors in public surveillance has been given attention by many researchers since the global outbreak of severe acute respiratory syndrome, and machine  ...  This system has use of both visible and far infrared cameras to detect people especially at night.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.18196/eist.114">doi:10.18196/eist.114</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ytum3zy64ng2zjoojuqu2le7bm">fatcat:ytum3zy64ng2zjoojuqu2le7bm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200715160337/https://journal.umy.ac.id/index.php/eist/article/download/7817/5152" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/f1/f2/f1f2f010befb0465f779e184eb1b53a13fe5422c.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.18196/eist.114"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Real-Time Embedded Systems [chapter]

<span title="2004-11-29">2004</span> <i title="CRC Press"> Industrial Electronics </i> &nbsp;
WalkSafe uses the back camera of the mobile phone to detect vehicles approaching the user, alerting the user of a potentially unsafe situation; more specifically WalkSafe i) uses machine learning algorithms  ...  implemented on the phone to detect the front views and back views of moving vehicles and ii) exploits phone APIs to save energy by running the vehicle detection algorithm only during active calls.  ...  We also aim to study car detection at night, which represents the most dangerous period of the day for pedestrians (i.e., 47% of the fatalities [11] occur between the hours of 18:00 and midnight in the  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1201/9781420036336.sec6">doi:10.1201/9781420036336.sec6</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/r2vap4pds5hwjoibcdplkxsj3e">fatcat:r2vap4pds5hwjoibcdplkxsj3e</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20131001101005/http://www.cs.dartmouth.edu:80/~campbell/papers/walksafe.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/90/97/90974d2228a25ef96b312098dc2f5d84e8d0f1a7.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1201/9781420036336.sec6"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

WalkSafe

Tianyu Wang, Giuseppe Cardone, Antonio Corradi, Lorenzo Torresani, Andrew T. Campbell
<span title="">2012</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/g2i2kcww7zfazc6z4kehoj54cq" style="color: black;">Proceedings of the Twelfth Workshop on Mobile Computing Systems &amp; Applications - HotMobile &#39;12</a> </i> &nbsp;
WalkSafe uses the back camera of the mobile phone to detect vehicles approaching the user, alerting the user of a potentially unsafe situation; more specifically WalkSafe i) uses machine learning algorithms  ...  implemented on the phone to detect the front views and back views of moving vehicles and ii) exploits phone APIs to save energy by running the vehicle detection algorithm only during active calls.  ...  We also aim to study car detection at night, which represents the most dangerous period of the day for pedestrians (i.e., 47% of the fatalities [11] occur between the hours of 18:00 and midnight in the  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2162081.2162089">doi:10.1145/2162081.2162089</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/wmcsa/WangCCTC12.html">dblp:conf/wmcsa/WangCCTC12</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/t6cxcd4ttjcffhjlscre4wssay">fatcat:t6cxcd4ttjcffhjlscre4wssay</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170812055642/http://www.hotmobile.org/2012/papers/HotMobile12-final66.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/da/12/da129a9864a2b2338e6993b674b65f5bc733a9e1.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2162081.2162089"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

Research and Design on Vehicle Pedestrian Detection in Natural Scene

Pei-ran ZHAO, Xue-wu ZHANG, Yu-bo XIE, Ling-li XU, Yan XIANG, Jin-bao SHENG
<span title="2018-03-27">2018</span> <i title="DEStech Publications"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/52spf3of4jbu5da2xrhvubclcy" style="color: black;">DEStech Transactions on Computer Science and Engineering</a> </i> &nbsp;
Edgelet features that describe pedestrian local information are used as lower level features for validation.  ...  We propose a two-layer pedestrian feature extraction algorithm based on multi features fusion in integral channel, which is gained by intelligent driving system in natural environment.  ...  good for pedestrians to distinguish; rainy day umbrella, raincoat, by increasing the sample type, the detection rate can be to achieve a higher; on the pedestrian lighting the night, can achieve the most  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.12783/dtcse/cmee2017/20042">doi:10.12783/dtcse/cmee2017/20042</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/dxi5ixajljdpfm563kgh6kfik4">fatcat:dxi5ixajljdpfm563kgh6kfik4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180721004450/http://dpi-proceedings.com/index.php/dtcse/article/download/20042/19529" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/d2/14/d2144a790b81511625fdc1423d54ad3a7dcdc36a.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.12783/dtcse/cmee2017/20042"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Pedestrian and Vehicle Detection in Autonomous Vehicle Perception Systems—A Review

Luiz G. Galvao, Maysam Abbod, Tatiana Kalganova, Vasile Palade, Md Nazmul Huda
<span title="2021-10-31">2021</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/taedaf6aozg7vitz5dpgkojane" style="color: black;">Sensors</a> </i> &nbsp;
This paper, in particular, focuses on the computer vision techniques used to detect pedestrians and vehicles. There have been many papers and reviews on pedestrians and vehicles detection so far.  ...  This review aims to present an overview of the AV systems in general, and then review and investigate several detection computer vision techniques for pedestrians and vehicles.  ...  -Can be used during the day and night. -More expensive than cameras. -Main target is pedestrian but can get confused with hot air from the exhaust pipe or other objects that generates heat.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/s21217267">doi:10.3390/s21217267</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/34770575">pmid:34770575</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC8587128/">pmcid:PMC8587128</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/p7zozlos3jdb7dtbpjdd4fw5ne">fatcat:p7zozlos3jdb7dtbpjdd4fw5ne</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220116022620/https://mdpi-res.com/d_attachment/sensors/sensors-21-07267/article_deploy/sensors-21-07267-v2.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/89/44/89447a264f656e1b8ca01070902a0d09b3a228ec.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/s21217267"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> mdpi.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8587128" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

A multiple detector approach to low-resolution FIR pedestrian recognition

M. Mahlisch, M. Oberlander, O. Lohlein, D. Gavrila, W. Ritter
<span title="">2005</span> <i title="IEEE"> IEEE Proceedings. Intelligent Vehicles Symposium, 2005. </i> &nbsp;
The scheme comprises the simultaneous harmonized use of three powerful detection algorithms, the hyper permutation network (HPN), a hierarchical contour matching (HCM) algorithm and a cascaded classifier  ...  Each algorithm is evaluated separately and afterwards, based on the evaluation results, the fusion of the detection results is performed by a particle filter approach.  ...  , enabled us to design a reliable realtime pedestrian detection system ( fig.9 ). pedestrian detection and filtering; left: orange -HPN ROI extraction, green -cascade detections, red: Chamfer matching  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/ivs.2005.1505123">doi:10.1109/ivs.2005.1505123</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/gmacv5sn3rbyndiytbgguw5wvm">fatcat:gmacv5sn3rbyndiytbgguw5wvm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170921220055/http://www.gavrila.net/Publications/iv05.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/95/37/9537671de2f967362de65f36a4c7d959077d63af.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/ivs.2005.1505123"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Active Pedestrian Protection System, Scenario-Driven Search Method for [chapter]

Alberto Broggi, Pietro Cerri, Stefano Ghidoni, Paolo Grisleri, Ho Gi Jung
<span title="">2013</span> <i title="Springer New York"> Transportation Technologies for Sustainability </i> &nbsp;
In order to reach good classification during both day and night, two different systems are developed.  ...  The idea is to use a simple and specific classifier for nighttime images, in which pedestrians' shapes clearly appear, and to use more complex classifiers (based on cascade methods) for the day.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-1-4614-5844-9_486">doi:10.1007/978-1-4614-5844-9_486</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/xypjuydktrhq5dt7hl2blcf6lm">fatcat:xypjuydktrhq5dt7hl2blcf6lm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190728222758/http://web.yonsei.ac.kr:80/hgjung/Ho%20Gi%20Jung%20Homepage/Publications/2013/Transportation%20Technologies%20for%20Sustainability(APPS).pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/3a/72/3a7296be2a1b122ab162106e6a4de6b4aaf7e1be.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-1-4614-5844-9_486"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Inter-humanoid robot interaction with emphasis on detection: a comparison study

Taher Abbas Shangari, Vida Shams, Bita Azari, Faraz Shamshirdar, Jacky Baltes, Soroush Sadeghnejad
<span title="">2017</span> <i title="Cambridge University Press (CUP)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ppliiwuwhjhjzdhxr5qnaaqsyi" style="color: black;">Knowledge engineering review (Print)</a> </i> &nbsp;
We explore humanoid robots detection because, humanoid robots can be useful in many scenarios, and everything from helping elderly people live in their own homes to responding to disasters.  ...  In tasks comprising Inter-Robot Interaction, robot detection is very often needed.  ...  Acknowledgement The authors would like to thank the Bio-Inspired System Design Laboratory (BInSDeLa) of Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran and also Autonomous Agents  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1017/s0269888916000321">doi:10.1017/s0269888916000321</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/k7dd5ppbh5fghhr3v2ho4wcdyy">fatcat:k7dd5ppbh5fghhr3v2ho4wcdyy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190505000203/https://www.cambridge.org/core/services/aop-cambridge-core/content/view/0BD36C0C2D74BC8676472433BF988E33/S0269888916000321a.pdf/div-class-title-inter-humanoid-robot-interaction-with-emphasis-on-detection-a-comparison-study-div.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/05/7f/057f8888e68d40592ef2446ae8772172d0df3c2e.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1017/s0269888916000321"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> cambridge.org </button> </a>

How to reach top accuracy for a visual pedestrian warning system from a car?

Floris De Smedt, Steven Puttemans, Toon Goedeme
<span title="">2016</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/q6o3gxrsajarnbf465wyskgs4e" style="color: black;">2016 Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA)</a> </i> &nbsp;
We use the KAIST dataset which is constructed from image-pairs of both the visual and the LWIR spectrum, in day and night conditions.  ...  However, the focus of this research mainly lies in detecting and locating pedestrians individually as accurate as possible.  ...  Fig. 9 :Fig. 10 : 910 Results of the system test on both day and night images. Results of the system test on only night images.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/ipta.2016.7820997">doi:10.1109/ipta.2016.7820997</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/ipta/SmedtPG16.html">dblp:conf/ipta/SmedtPG16</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/hgnzafpgizh4fgd6gbj7d2655m">fatcat:hgnzafpgizh4fgd6gbj7d2655m</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20181104043748/https://lirias2repo.kuleuven.be/bitstream/handle/123456789/562021/40_paper_fds.pdf;jsessionid=6B769D2B1C50DDB6FB258449567363C8?sequence=1" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/e1/07/e107ae970e21d0ab6043f75013259ecec668b6bb.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/ipta.2016.7820997"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>
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