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Robust People Segmentation by Static Infrared Surveillance Camera [chapter]

José Carlos Castillo, Juan Serrano-Cuerda, Antonio Fernández-Caballero
2010 Lecture Notes in Computer Science  
In this paper, a new approach to real-time people segmentation through processing images captured by an infrared camera is introduced.  ...  The approach starts detecting human candidate blobs processed through traditional image thresholding techniques.  ...  This is a challenge for our proposal, as we try to locate the human head in relation with the body (in terms of heat and size).  ... 
doi:10.1007/978-3-642-13022-9_35 fatcat:ft64ohwwkzbbvcbfibukt4iyi4

Real-time human segmentation in infrared videos

Antonio Fernández-Caballero, José Carlos Castillo, Juan Serrano-Cuerda, Saturnino Maldonado-Bascón
2011 Expert systems with applications  
In this paper, a new approach to real-time people segmentation through processing images captured by an infrared camera is introduced.  ...  The approach starts detecting human candidate blobs processed through traditional image thresholding techniques.  ...  Fig. 10 . 10 Some results on outdoor infrared images. (a). Firstly, a change in scale, as shown in Eq. (1) is performed.  ... 
doi:10.1016/j.eswa.2010.08.047 fatcat:wfonk3rrjnhxtbmiolgmta7hdu

Thermal Infrared Pedestrian Image Segmentation Using Level Set Method

Yulong Qiao, Ziwei Wei, Yan Zhao
2017 Sensors  
Therefore, we propose a novel level set-based thermal infrared image segmentation method that is able to deal with the above problems.  ...  The edge-based active contour model has been one of the most influential models in image segmentation, in which the level set method is usually used to minimize the active contour energy function and then  ...  [15] represented a region fitting method to improve the Chan and Vese model for infrared image segmentation.  ... 
doi:10.3390/s17081811 pmid:28783080 pmcid:PMC5579746 fatcat:67kmoawzbba45jaf7qjciu5l4q

Non-invasive Glaucoma Screening Using Ocular Thermal Image Classification

Padmapriya Nammalwar, Venkateswaran Narasimhan, Toshitha Kannan, SindhuMadhuri Morapakala
2017 Journal of Computing and Information Technology  
Acknowledgement The authors would like to thank IGCAR, India for the thermal images.  ...  Furthermore, the authors would like to thank the management of Sri Sivasubramania Nadar College of Engineering, Kalavakkam, for providing the facilities to carry out this work.  ...  [10] , have outlined three techniques for segmentation in thermal image, namely thresholding, edge detection segmentation and region based segmentation in order to identify the region of interest.  ... 
doi:10.20532/cit.2017.1003412 fatcat:5mnih3sygjea5aoyz24uaddohm

Pedestrian Detection Method in Infrared Images Using Maximum Entropy Threshold and Random Forest

Songze Lei, Xiaoping Li, Feng Xiao, Shifang Zhang
2017 International Journal of Signal Processing, Image Processing and Pattern Recognition  
A novel pedestrian detection method based on maximum entropy threshold and random forest classifier is presented in order to detect effectively pedestrian in infrared images.  ...  Experimental results in different infrared images show that the method presented has high correct detection rate and low false detection rate with fast calculation speed. in node splitting.  ...  Unfortunately, pedestrian detection is a challenging task due to the non-rigidity of human body and environmental factors.  ... 
doi:10.14257/ijsip.2017.10.5.09 fatcat:lnrsxsvu2bhf3hzl2x5d4ln6im

Research of the Space-Borne Infrared Ship Target Recognition Technology Based on the Complex Background

Baorong Xie, Shanghai Aerospace Electronic Technology Institute, Shanghai, China, Xinzhong Zhu, Chuanzhao Han, Yang Wang, Xian Li, Yu Zhang
2019 Journal of Advances in Information Technology  
In this paper an innovative method of sea land segmentation by the statistics of power spectrum based on block combined with region growing method, background suppression by the revised TOP_HAT filter  ...  The measured long-wave infrared images are employed to verify the relevant method and the results show that the method proposed can detect the ship targets clearly.  Index Terms-target characteristic,  ...  However, due to the limitation of image resolution, fewer features can be used. In this project, the length-width ratio, gray-scale distribution and length were selected for selection.  ... 
doi:10.12720/jait.10.2.48-53 fatcat:h5c3mfurmrd5rhq2zx4hyfqe7u

Thermal Imaging for Enhancing Inspection Reliability: Detection and Characterization [chapter]

Soib Taib, Mohd Shawal, Shahid Kabir
2012 Infrared Thermography  
In this case, the histogram for each region is computed and compared with other regions in order to get the ∆T. Another approach is to analyze the gradient of the segmented region.  ...  In another approach, the watershed transformation algorithm is used for segmenting the hotspot regions in the thermal image of electrical equipment (Almeida et al., 2009).  ... 
doi:10.5772/27558 fatcat:y6hxxcgq5jfunh2g3pq6db47ii

Red Blood Cell Analysis by Hyperspectral Imaging

Hüseyin KURTULDU, Aynur Didem OKTAN, Hatice CANDAN, Beste Sahra CİHANGİROĞLU
2018 Natural and Applied Sciences Journal  
The hyperspectral imaging system, which is frequently used in the field of remote sensing, is becoming a new imaging model for medical applications and non-invasive disease diagnosis.  ...  Hyperspectral imaging is a new technology that aims to use the spectral information of each pixel in different spectral bands to find, identify and classify objects in an image.  ...  For this reason, it is important to develop systems that will eliminate the human factor in such diagnoses.  ... 
doi:10.38061/idunas.442490 fatcat:mmwlnvpofjfjhe3fx4adsmczjm

Human Tongue Thermography Could Be a Prognostic Tool for Prescreening the Type II Diabetes Mellitus

Usharani Thirunavukkarasu, Snekhalatha Umapathy, Palani Thanaraj Krishnan, Kumar Janardanan
2020 Evidence-Based Complementary and Alternative Medicine  
image segmentation method and extracted the features using gray level co-occurrence matrix algorithm, (iii) classified normal and diabetes using various machine learning algorithms, and (iv) developed  ...  To overcome such difficulties, a noninvasive method is much needed around the globe for primary screening. A change in body temperature is an indication of various diseases.  ...  Acknowledgments e authors wish to express their sincere gratefulness to SRM Hospital and Research Centre, Kattankulathur, for the facility provided in the hospital to collect the data.  ... 
doi:10.1155/2020/3186208 pmid:32419801 pmcid:PMC7201785 fatcat:admppslnw5ex3ld2ily5fk3yim

Finger Vein Segmentation from Infrared Images Based on a Modified Separable Mumford Shah Model and Local Entropy Thresholding

Marios Vlachos, Evangelos Dermatas
2015 Computational and Mathematical Methods in Medicine  
A novel method for finger vein pattern extraction from infrared images is presented.  ...  This method involves four steps: preprocessing which performs local normalization of the image intensity, image enhancement, image segmentation, and finally postprocessing for image cleaning.  ...  by the different human tissues, (2) preprocessing of the acquired images which includes ROI (region of interest) extraction, image intensity normalization (in this type of images intensity is usually  ... 
doi:10.1155/2015/868493 pmid:26120357 pmcid:PMC4450289 fatcat:h4tehg7knvcb3ptjblhc3mkxbm

A New Skin and Frontal Face Detector by selecting Optimized Colour Spaces

B. Somayeh Mousavi, Amin Shahraki Moghadam
2011 International Journal of Computer Applications  
In this paper a new method to detect faces in colour images, is proposed which has wide range of application in Human-Computer interaction, face processing and illness diagnosis (specially mental disease  ...  In first step, skin regions are identified in HSI colour space, using fuzzy system, applying distance of each pixel colour to skin colour cluster as input and produce a skin-likelihood image in output.  ...  They were three fuzzy systems, respectively to create skinlikelihood gray-scale image, lip-likelihood gray-scale image and select face blobs among skin regions.  ... 
doi:10.5120/2922-3859 fatcat:gr6xq7evtzfuloctxedzzvai4q

On ear-based human identification in the mid-wave infrared spectrum

Ayman Abaza, Thirimachos Bourlai
2013 Image and Vision Computing  
In this paper the problem of human ear recognition in the Mid-wave infrared (MWIR) spectrum is studied in order to illustrate the advantages and limitations of the ear-based biometrics that can operate  ...  The proposed system tests several feature extraction methods, namely: (i) intensity-based such as independent component analysis (ICA), principal component analysis (PCA), and linear discriminant analysis  ...  The authors are grateful to FLIR Thermal Imaging for proving us a demo MWIR camera to perform our pilot data collection and to all faculty and students at West Virginia University for their contributions  ... 
doi:10.1016/j.imavis.2013.06.001 fatcat:gmmof4e7nrbotbflqsejpwhbb4

Monitoring Coastline Changes of the Malay Islands Based on Google Earth Engine and Dense Time-Series Remote Sensing Images

Yaxin Ding, Xiaomei Yang, Hailiang Jin, Zhihua Wang, Yueming Liu, Bin Liu, Junyao Zhang, Xiaoliang Liu, Ku Gao, Dan Meng
2021 Remote Sensing  
These research results showed that the big data platform and intensive time-series method have considerable potential in large-scale monitoring of coastline dynamic change and island reef change monitoring  ...  retreat of the coastline in this region.  ...  The calculation formula is as follows: = (Green band) − (Near infrared band) (Green band) + (Near infrared band) (1) After calculating the water body index of all the effective images in a year, we used  ... 
doi:10.3390/rs13193842 fatcat:nwfradp3mbhwvhws56ltrmziym

Pedestrian Detection and Tracking With Night Vision

F. Xu, X. Liu, K. Fujimura
2005 IEEE transactions on intelligent transportation systems (Print)  
., gray-scale SVM recognition vs. binary SVM recognition and entire body detection vs. upper body detection) have been carried out to illustrate the feasibility of our approach.  ...  To deal with the non-rigid nature of human appearance on the road, a two-step detection/tracking method is proposed.  ...  In this paper, we apply SVM for pedestrian detection using infrared videos. During the night, exposed parts of a human body appear as hotspots in the infrared video.  ... 
doi:10.1109/tits.2004.838222 fatcat:3eej2gtmh5eu3kwt7ofz3y37j4

Supportive Noninvasive Tool for the Diagnosis of Breast Cancer Using a Thermographic Camera as Sensor

Marco Garduño-Ramón, Sofia Vega-Mancilla, Luis Morales-Henández, Roque Osornio-Rios
2017 Sensors  
Breast thermograms are evaluated as thermal matrices, instead of gray scale or false color images, increasing the certainty of the provided diagnosis.  ...  Asymmetrical temperature in certain human body zones is associated with cancer. In this paper, an IR thermographic sensor is applied for breast cancer detection.  ...  Acknowledgments: Garduño-Ramón expresses his gratitude to the Mexican National Council for Science and Technology (CONACYT) for financing this work through the Ph.D. scholarship 487601/278034.  ... 
doi:10.3390/s17030497 pmid:28273793 pmcid:PMC5375783 fatcat:7qxwlkshanhmpdv2pdvas6zn4q
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