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Spatiotemporal Transformer for Video-based Person Re-identification [article]

Tianyu Zhang, Longhui Wei, Lingxi Xie, Zijie Zhuang, Yongfei Zhang, Bo Li, Qi Tian
2021 arXiv   pre-print
This paper applies the Transformer to video-based person re-identification, where the key issue is to extract the discriminative information from a tracklet.  ...  The derived algorithm achieves significant accuracy gain on three popular video-based person re-identification benchmarks, MARS, DukeMTMC-VideoReID, and LS-VID, especially when the training and testing  ...  Related Work Person Re-identification Existing image-based ReID methods mainly focus on discriminative feature extraction from images. Human body parts are essential for image-based ReID.  ... 
arXiv:2103.16469v1 fatcat:xtkwdlg62vbilbndbvmgqww56y

Diversity Regularized Spatiotemporal Attention for Video-based Person Re-identification [article]

Shuang Li, Slawomir Bak, Peter Carr, Xiaogang Wang
2018 arXiv   pre-print
Video-based person re-identification matches video clips of people across non-overlapping cameras.  ...  Instead, we propose a new spatiotemporal attention model that automatically discovers a diverse set of distinctive body parts.  ...  Video-based person re-identification. Video-based person re-identification [35, 52, 46, 41, 53, 34] is an extension of image-based approaches.  ... 
arXiv:1803.09882v1 fatcat:ebbaxvldbbcm7krtck4h7vrwpy

3-D PersonVLAD: Learning Deep Global Representations for Video-Based Person Reidentification

Lin Wu, Yang Wang, Ling Shao, Meng Wang
2019 IEEE Transactions on Neural Networks and Learning Systems  
We present the global deep video representation learning to video-based person reidentification (re-ID) that aggregates local 3-D features across the entire video extent.  ...  Our global 3-D features are demonstrated to achieve the state-of-the-art results on three benchmark data sets: MARS, Imagery Library for Intelligent Detection Systems-Video Re-identification, and PRID2011  ...  Experiments are conducted on three benchmark video sequences for person re-identification. A.  ... 
doi:10.1109/tnnls.2019.2891244 pmid:30716051 fatcat:vxet6szebfh4dasjwdlt6jchfi

Object Re-Identification Based on Deep Learning [chapter]

Xiying Li, Zhihao Zhou
2019 Visual Object Tracking in the Deep Neural Networks Era [Working Title]  
With the explosive growth of video data and the rapid development of computer vision technology, more and more relevant technologies are applied in our real life, one of which is object re-identification  ...  Object Re-ID is currently concentrated in the field of person Re-ID and vehicle Re-ID, which is mainly used to realize the cross-vision tracking of person/vehicle and trajectory prediction.  ...  Person re-identification (Re-ID) is a technology that uses computer vision technology to judge whether there is a specific person in the image or video sequence.  ... 
doi:10.5772/intechopen.86564 fatcat:uzv4zeatp5a4hayryjwgtzu2o4

EgoReID: Cross-view Self-Identification and Human Re-identification in Egocentric and Surveillance Videos [article]

Shervin Ardeshir, Sandesh Sharma, Ali Broji
2016 arXiv   pre-print
Having an egocentric and a top view video, our goal is to identify the cameraman in the content of the top-view video, and also re-identify the people visible in the egocentric video, by matching them  ...  Most of the literature has been focused on exploring human re-identification across viewpoints that are not too drastically different in nature.  ...  [31] uses a region descriptor based on hierarchical Gaussian distribution of pixel features for person re-identification.  ... 
arXiv:1612.08153v1 fatcat:quzy3mng25c27gjckz5bsq5jom

Fusion of appearance and motion-based sparse representations for multi-shot person re-identification

Mohamed Ibn Khedher, Mounim A. El-Yacoubi, Bernadette Dorizzi
2017 Neurocomputing  
Abstract We present in this paper a multi-shot human re-identification system from video sequences based on interest points (IPs) matching.  ...  Fusion of appearance and motionbased sparse representations for multi-shot person re-identification. Neurocomputing, Elsevier, 2017, 248, pp.  ...  Introduction Person re-identification is an important video monitoring task for tracking people over multiple cameras .  ... 
doi:10.1016/j.neucom.2016.11.073 fatcat:gusyaz5y5ndkbj2fuacr4bc7lu

Introduction to the Special Section on Contextual Object Analysis in Complex Scenes

Meng Wang, Xianglong Liu, Xun Yang, Liang Zheng
2020 IEEE transactions on circuits and systems for video technology (Print)  
Object Re-Identification This group includes five articles aiming at developing effective methods for person re-identification.  ...  The work "Complementation-reinforced attention network for person re-identification" by C.  ... 
doi:10.1109/tcsvt.2020.3017118 fatcat:znxhng7ednfbdjxxyn3m23gorq

Appearance-Preserving 3D Convolution for Video-based Person Re-identification [article]

Xinqian Gu, Hong Chang, Bingpeng Ma, Hongkai Zhang, Xilin Chen
2020 arXiv   pre-print
Due to the imperfect person detection results and posture changes, temporal appearance misalignment is unavoidable in video-based person re-identification (ReID).  ...  Extensive experiments demonstrate the effectiveness of AP3D for video-based ReID and the results on three widely used datasets surpass the state-of-the-arts.  ...  Appearance-Preserving 3D Convolution for Video-based Person ReID  ... 
arXiv:2007.08434v2 fatcat:jmbmchlorbaftoamwzzwddpbka

Learning Deep Neural Networks for Vehicle Re-ID with Visual-spatio-temporal Path Proposals [article]

Yantao Shen, Tong Xiao, Hongsheng Li, Shuai Yi, Xiaogang Wang
2017 arXiv   pre-print
However, unlike person re-identification, the visual differences between pairs of vehicle images are usually subtle and even challenging for humans to distinguish.  ...  Vehicle re-identification is an important problem and has many applications in video surveillance and intelligent transportation.  ...  [12] proposed an approach that matches signatures based on interest-points descriptors collected on short video sequences for person re-identification scheme in multi-camera surveillance systems.  ... 
arXiv:1708.03918v1 fatcat:3rfxnsfcezamzbgnio2z5y74pq

2020 Index IEEE Transactions on Circuits and Systems for Video Technology Vol. 30

2020 IEEE transactions on circuits and systems for video technology (Print)  
Constrained Modality-Adaptive Dictionary Learning for Cross-Modality Person Re-Identification.  ...  ., +, TCSVT Jan. 2020 104-116 Complementation-Reinforced Attention Network for Person Re-Identification.  ...  A Memory-Efficient Hardware Architecture for Connected Component Labeling in Embedded System.  ... 
doi:10.1109/tcsvt.2020.3043861 fatcat:s6z4wzp45vfflphgfcxh6x7npu

2019 Index IEEE Transactions on Circuits and Systems for Video Technology Vol. 29

2019 IEEE transactions on circuits and systems for video technology (Print)  
., +, TCSVT Jan. 2019 275-280 Video Person Re-Identification for Wide Area Tracking Based on Recurrent Neural Networks.  ...  Dimou, A., +, TCSVT Aug. 2019 2363-2375 Learning Compact Appearance Representation for Video-Based Person Re-Identification.  ... 
doi:10.1109/tcsvt.2019.2959179 fatcat:2bdmsygnonfjnmnvmb72c63tja

Gait recognition for person re-identification

Omar Elharrouss, Noor Almaadeed, Somaya Al-Maadeed, Ahmed Bouridane
2020 Journal of Supercomputing  
However, human recognition via gait technique could be limited with the position of captured images or videos. Hence, this paper proposes a gait recognition approach for person re-identification.  ...  Person re-identification across multiple cameras is an essential task in computer vision applications, particularly tracking the same person in different scenes.  ...  Person re-identification using human gait can is an efficient identification technique that can overcome the person re-identification problems including shape, colors, and scales.  ... 
doi:10.1007/s11227-020-03409-5 fatcat:hzz3vpvngjc2rnk2gql6heaf6i

Multiple-shot human re-identification by Mean Riemannian Covariance Grid

Slawomir Bak, Etienne Corvee, Francois Bremond, Monique Thonnat
2011 2011 8th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)  
Human re-identification is defined as a requirement to determine whether a given individual has already appeared over a network of cameras.  ...  The method is evaluated and compared with the state of the art using benchmark video sequences from the ETHZ and the i-LIDS datasets.  ...  Acknowledgements This work has been supported by Agence National de la Recherche (ANR), VIDEO-ID and VANAHEIM project.  ... 
doi:10.1109/avss.2011.6027316 dblp:conf/avss/BakCBT11 fatcat:rv5hsehvdzaq7pknnnrw3rfrxq

Lidar-based gait analysis in people tracking and 4D visualization

Csaba Benedek, Balazs Nagy, Bence Galai, Zsolt Janko
2015 2015 23rd European Signal Processing Conference (EUSIPCO)  
First, in the tracking step the collected characteristic gait parameters support as biometric descriptors the re-identification of people, who temporarily leave the field of interest, and re-appear later  ...  In this paper we introduce a new approach on gait analysis based on data streams of a Rotating Multi Beam (RMB) Lidar sensor.  ...  We have exploited the gait features for person re-identification and 4D visualization tasks.  ... 
doi:10.1109/eusipco.2015.7362561 dblp:conf/eusipco/BenedekNGJ15 fatcat:iq33iuu3ejfyjkzczyxru2ywqi

2020 Index IEEE Transactions on Multimedia Vol. 22

2020 IEEE transactions on multimedia  
., +, TMM March 2020 626-640 STNReID: Deep Convolutional Networks With Pairwise Spatial Transformer Networks for Partial Person Re-Identification.  ...  ., +, TMM Feb. 2020 311-323 Deep Fusion Feature Representation Learning With Hard Mining Center-Triplet Loss for Person Re-Identification.  ...  Image watermarking Blind Watermarking for 3-D Printed Objects by Locally Modifying Layer Thickness. 2780 -2791 Low-Light Image Enhancement With Semi-Decoupled Decomposition.  ... 
doi:10.1109/tmm.2020.3047236 fatcat:llha6qbaandfvkhrzpe5gek6mq
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