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Single Camera Training for Person Re-Identification

Tianyu Zhang, Lingxi Xie, Longhui Wei, Yongfei Zhang, Bo Li, Qi Tian
2020 PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE  
Person re-identification (ReID) aims at finding the same person in different cameras.  ...  Differently, this paper investigates ReID in an unexplored single-camera-training (SCT) setting, where each person in the training set appears in only one camera.  ...  Introduction Person re-identification (ReID) aims to retrieve a certain person appearing in a camera network.  ... 
doi:10.1609/aaai.v34i07.6985 fatcat:d5kjoiwu6nhgxldka5drdm2z7u

Single Camera Training for Person Re-identification [article]

Tianyu Zhang, Lingxi Xie, Longhui Wei, Yongfei Zhang, Bo Li, Qi Tian
2019 arXiv   pre-print
Person re-identification (ReID) aims at finding the same person in different cameras.  ...  Differently, this paper investigates ReID in an unexplored single-camera-training (SCT) setting, where each person in the training set appears in only one camera.  ...  Introduction Person re-identification (ReID) aims to retrieve a certain person appearing in a camera network.  ... 
arXiv:1909.10848v1 fatcat:wxdpf2bazvbztnofubb6ujs22m

Person Re-identification: System Design and Evaluation Overview [chapter]

Xiaogang Wang, Rui Zhao
2014 Person Re-Identification  
Person re-identification is to match pedestrian images observed in different camera views with visual features.  ...  Person re-identification has important applications in video surveillance.  ...  Single-shot person re-identification only analyzes a single image for each person assuming no tracking information is available. Therefore, the query or any person in the gallery only has one image.  ... 
doi:10.1007/978-1-4471-6296-4_17 dblp:series/acvpr/WangZ14 fatcat:6b6uon4g6ncf3amubxlwh3ouxu

Video Person Re-Identification for Wide Area Tracking based on Recurrent Neural Networks

Niall McLaughlin, Jesus Martinez del Rincon, Paul Miller
2017 IEEE transactions on circuits and systems for video technology (Print)  
While re-identification has been extensively studied for single still images, the video-based re-identification problem has been much less studied despite its wide applicability in multi-person, multi-camera  ...  for training the re-identification system.  ... 
doi:10.1109/tcsvt.2017.2736599 fatcat:2dapqcpp7rbblm5l7gmoxd4zz4

Improving Person Re-identification via Pose-Aware Multi-shot Matching

Yeong-Jun Cho, Kuk-Jin Yoon
2016 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)  
Although there has been much progress in person re-identification for the last decade, it still remains a challenging task because of severe appearance changes of a person due to diverse camera viewpoints  ...  Experimental results using public person reidentification datasets show that the proposed methods are promising for person re-identification under diverse viewpoints and pose variances.  ...  The matching weight training is describe in Sec. 4.4. Figure 2 illustrates an overall framework for person re-identification.  ... 
doi:10.1109/cvpr.2016.151 dblp:conf/cvpr/ChoY16 fatcat:spapzfambrfgliwn5mosvxx5ie

Person re-identification in multi-camera networks

Kai Jungling, Christoph Bodensteiner, Michael Arens
2011 CVPR 2011 WORKSHOPS  
We show that this re-identification approach -which was formerly only evaluated for single camera person reidentification can be successfully applied to the task of multi-camera re-identification.  ...  In this paper, we present an approach for person reidentification in multi-camera networks. This approach employs the Implicit Shape Model and SIFT features for person re-identification.  ...  In this paper, we use the re-identification approach formerly used for person re-identification in infrared with a single camera and show that this approach is applicable for the task of person re-identification  ... 
doi:10.1109/cvprw.2011.5981771 dblp:conf/cvpr/JunglingBA11 fatcat:zzbguxztrbduzpymesidgbnpbq

An Evaluation of Deep CNN Baselines for Scene-Independent Person Re-Identification [article]

Paul Marchwica, Michael Jamieson, Parthipan Siva
2018 arXiv   pre-print
In recent years, a variety of proposed methods based on deep convolutional neural networks (CNNs) have improved the state of the art for large-scale person re-identification (ReID).  ...  Finally, we introduce a new dataset for comparing within-camera and across-camera person ReID.  ...  As such, we will use this method for training our person re-identification networks.  ... 
arXiv:1805.06086v1 fatcat:fiarkzeidrg2babbplgnat3hgi

Open-set Person Re-identification [article]

Shengcai Liao, Zhipeng Mo, Jianqing Zhu, Yang Hu, Stan Z. Li
2014 arXiv   pre-print
Several popular metric learning algorithms for person re-identification have been evaluated as baselines.  ...  Person re-identification is becoming a hot research for developing both machine learning algorithms and video surveillance applications.  ...  If a person in a camera is selected, all images of that person within the camera can be used for training.  ... 
arXiv:1408.0872v2 fatcat:vd6dzdku35cshmaxsy46qst4wy

Person Re-Identification using Reduced Dictionary Sparse Representation Based Classifier

2019 International journal of recent technology and engineering  
Person re-Identification is a task of matching the identity of a person captured by different cameras in the network at different places and times.  ...  The cameras used for surveillance are located at a much higher position than the person so that the conventional method of face recognition is not used for identification of the person.  ...  The person re-identification process is recognizing the particular person from one camera view with the images captured by other non-overlapping cameras.  ... 
doi:10.35940/ijrte.d9787.118419 fatcat:sbyafwqjyfcz5pmlhfwx3clmzi

Analysis of Different Techniques for Person Re-Identification: An Assessment

Richa Jain, Prof. Seema Shukla
2019 Zenodo  
In investigation, person re identification is also a tough task of matching persons determined from utterly completely different camera views.  ...  This paper summarises the challenges related to the person re identification jointly discuss varied techniques utilized person re identification. Richa Jain | Prof.  ...  Techniques Used For Person Re-Identification In the past, to resolve person re-identification, single-view and multi-view strategies, as well as single-shot and multishot strategies are projected.  ... 
doi:10.5281/zenodo.3605938 fatcat:4xadgmsfq5b35lj2mun5dinxqa

PaMM: Pose-Aware Multi-Shot Matching for Improving Person Re-Identification

Yeong-Jun Cho, Kuk-Jin Yoon
2018 IEEE Transactions on Image Processing  
In this paper, we propose a novel framework for person re-identification by analyzing camera viewpoints and person poses in a so-called Pose-aware Multi-shot Matching (PaMM), which robustly estimates people's  ...  Experimental results using public person re-identification datasets show that the proposed methods outperform state-of-the-art methods and are promising for person re-identification from diverse viewpoints  ...  re-identification which only uses a single appearance for each person for matching.  ... 
doi:10.1109/tip.2018.2815840 pmid:29698206 fatcat:7kqc7htuanbjdmu3em5qt664he

Unveiling personnel movement in a larger indoor area with a non-overlapping multi-camera system [article]

Ping Zhang, Zhenxiang Tao, Wenjie Yang, Minze Chen, Shan Ding, Xiaodong Liu, Rui Yang, Hui Zhang
2021 arXiv   pre-print
Then, a stochastic inter-camera transition matrix is associated with appearance feature for further improving the person re-identification ranking results.  ...  By training a deep convolutional neural network, the proposed system first extracts the appearance feature embeddings of each personal image, which detected from different cameras, for similarity comparison  ...  In addition, several public indoor video data sets are released for multi-camera person re-identification and tracking. Figueira et al.  ... 
arXiv:2104.04662v1 fatcat:wa6gjdmd6rhxboxpar6ntzxiim

Different Techniques for Person Re-Identification: A Review

O. S. Reshma, Reshma Sheik
2019 Asian Journal of Computer Science and Technology  
In investigation, person re-identification is also a tough task of matching persons determined from utterly completely different camera views.  ...  This paper summarises the challenges related to the person re-identification jointly discuss varied techniques utilized person re-identification.  ...  TECHNIQUES USED FOR PERSON RE-IDENTIFICATION In the past, to resolve person re-identification, single-view and multi-view strategies, as well as single-shot and multishot strategies are projected.  ... 
doi:10.51983/ajcst-2019.8.1.2126 fatcat:pg3qfispufhtdn5fnqs6erlg2m

The Re-identification Challenge [chapter]

Shaogang Gong, Marco Cristani, Chen Change Loy, Timothy M. Hospedales
2014 Person Re-Identification  
For making sense of the vast quantity of visual data generated by the rapid expansion of large scale distributed multi-camera systems, automated person re-identification is essential.  ...  Whilst solving the person re-identification problem is inherently challenging, it also promises enormous potential for a wide range of practical applications, ranging from security and surveillance to  ...  Chapter 11 presents a metric learner for single-shot person re-identification and provides extensive comparisons on some of the widely used metric learning approaches.  ... 
doi:10.1007/978-1-4471-6296-4_1 dblp:series/acvpr/GongCLH14 fatcat:l7jbhs4g2jgcxdjceywbszb374

Cross Dataset Person Re-identification [chapter]

Yang Hu, Dong Yi, Shengcai Liao, Zhen Lei, Stan Z. Li
2015 Lecture Notes in Computer Science  
Until now, most existing researches on person re-identification aim at improving the recognition rate on single dataset setting.  ...  In this paper, we focus on the cross dataset person re-identification which make more sense in the real world.  ...  Since the performances of single dataset person re-identification methods are improving rapidly, researchers should pay more attention to the cross dataset person re-identification task which make more  ... 
doi:10.1007/978-3-319-16634-6_47 fatcat:gmuhvg6l35cwfk4w3dz4dfgkmm
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