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Attribute-aware Identity-hard Triplet Loss for Video-based Person Re-identification
[article]
2020
arXiv
pre-print
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To achieve a complete model of video-based person Re-ID, a multi-task framework with Attribute-driven Spatio-Temporal Attention (ASTA) mechanism is also proposed. ...
Video-based person re-identification (Re-ID) is an important computer vision task. ...
Then, Section 4 introduces the proposed attribute-driven spatio-temporal attentive multi-task framework for video-based person Re-ID. ...
arXiv:2006.07597v1
fatcat:rrgd624rxzb75cmo6pwwzs6vty
Person re-identification in crowd
2012
Pattern Recognition Letters
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Person re-identification aims to recognize the same person viewed by disjoint cameras at different time instants and locations. ...
We demonstrate the proposed method in a challenging scenario from London Gatwick airport and compare it to well-known person re-identification methods, highlighting their strengths and limitations. ...
Acknowledgment Fahad Tahir was supported in part by the Erasmus Mundus Joint Doctorate in Interactive and Cognitive Environments, which is funded by the Education, Audiovisual & Culture Executive Agency ...
doi:10.1016/j.patrec.2012.02.014
fatcat:3bj7tlz37zhadl5gvn7ucukyp4
Video-Based Person Re-Identification: Methods, Datasets, and Deep Learning
2020
International Journal of Engineering and Advanced Technology
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Feature representation and metric learning are major issues for person re-identification. ...
Most previous works contributed to the significant progress of person re-identification on still images using image retrieval models. ...
This creates enough space to construct a more reliable appearance-based model. Video-based person re-ID involving extraction of Spatio-temporal features are discussed in [7, 9, 10] . ...
doi:10.35940/ijeat.c6524.029320
fatcat:zbaiu3k7yncc3djk3onwf2jklq
Spatio-Temporal Associative Representation for Video Person Re-Identification
2019
British Machine Vision Conference
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Learning discriminative spatio-temporal representation is the key for solving video re-identification (re-id) challenges. ...
To address this limitation, we propose a novel model to learning Spatio-Temporal Associative Representation (STAR). ...
Conclusions In this work, we propose to learn spatio-temporal associative representations along with attention in synergistic compatibility for video person re-identification. ...
dblp:conf/bmvc/WuZG19
fatcat:eyhm2egqwjfz5ox6bg7fuw2ojy
Graph based Spatial-temporal Fusion for Multi-modal Person Re-identification
2023
Proceedings of the 31st ACM International Conference on Multimedia
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In this paper, we propose a Graph based Spatio-Temporal Fusion model for high-performance multimodal person Re-ID, namely G-Fusion, to mitigate the impact of noise. ...
Finally, a graph-based multi-modal re-ranking method is deployed to make the decision in the testing phase for precise person Re-ID. ...
RELATED WORK This section discusses relevant literatures including unsupervised person Re-ID, graph-based person Re-ID, spatio-temporal fusion for supervised person Re-ID, and spatio-temporal fusion for ...
doi:10.1145/3581783.3613757
fatcat:qk3rpgugina6biir5uadhucfoa
Multiple-shot People Re-identify based on Feature Selection with Sparsity
2015
International Journal of Hybrid Information Technology
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This paper presents a novel re-identification method for multiple-people using feature selection with sparsity. ...
In order to achieve the purpose of re-identification, linear regression method is exploited to match each part of the body. ...
Bedagkar-Gala et al., 2011 proposed a part-based spatio-temporal model which learns a person appearance model. ...
doi:10.14257/ijhit.2015.8.1.03
fatcat:ojngbftu7rdj3iddjskwbjlbh4
Fusing Appearance and Spatio-Temporal Models for Person Re-Identification and Tracking
2020
Journal of Imaging
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First, a Sequential k-Means re-identification approach is presented, followed by a Kalman filter-based spatio-temporal tracking approach. ...
(spatio-temporal-based tracking) and assigning identity labels based on tracks formed. ...
Commonly, spatio-temporal based tracking is used within single camera views, and person re-identification is used to connect tracklets between camera views together. ...
doi:10.3390/jimaging6050027
pmid:34460729
fatcat:kezgbojlubhmdmj7kroa7hpada
Multi-Stage Spatio-Temporal Aggregation Transformer for Video Person Re-identification
[article]
2023
arXiv
pre-print
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In recent years, the Transformer architecture has shown its superiority in the video-based person re-identification task. ...
However, they are still limited in extracting local attributes and global identity information, which are critical for the person re-identification task. ...
Multi-Stage Spatio-Temporal Aggregation Transformer for Video Person Re-identification Ziyi Tang, Ruimao Zhang, Member, IEEE, Zhanglin Peng, Jinrui Chen, Liang Lin, Senior Member, IEEE Abstract-In recent ...
arXiv:2301.00531v1
fatcat:3didc3kuu5dllbj77mgsoz5zoi
Three-Stream Convolutional Networks for Video-based Person Re-Identification
[article]
2017
arXiv
pre-print
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To this end, we study a number of methods for video-based person re-identification and make the following findings: 1) Max-pooling only focuses on the maximum value of a receptive field, wasting a lot ...
It first uses different streams to learn different aspects of feature maps for attentive spatio-temporal fusion of video, and then merges them together to study some union features. ...
Therefore, in this paper, we propose the multi-stream convolutional network for video-based person re-identification. ...
arXiv:1712.01652v1
fatcat:fehfmkcmefdwjf3zn6cvd25h2y
Discriminative Feature Representation with Spatio-temporal Cues for Vehicle Re-identification
[article]
2020
arXiv
pre-print
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Based on this multi-modal information, the proposed DFR-ST constructs an appearance model for a multi-grained visual representation by a two-stream architecture and a spatio-temporal metric to provide ...
Vehicle re-identification (re-ID) aims to discover and match the target vehicles from a gallery image set taken by different cameras on a wide range of road networks. ...
The spatio-temporal model for person re-ID can not be straightforwardly used to vehicle re-ID due to severe performance degradation. ...
arXiv:2011.06852v1
fatcat:iqlq53dbxbb6je66a47nsvzgha
Person Re-identification in Videos by Analyzing Spatio-Temporal Tubes
[article]
2019
arXiv
pre-print
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In this paper, we extract spatio-temporal sequences of frames (referred to as tubes) of moving persons and apply a multi-stage processing to match a given query tube with a gallery of stored tubes recorded ...
Typical person re-identification frameworks search for k best matches in a gallery of images that are often collected in varying conditions. ...
[23] Distinct body parts-based attention model for re-identification. Diversity Regularized Spatiotemporal Attention for Video-based Person Re-identification Li et al. ...
arXiv:1902.04856v1
fatcat:mui2a4j7ljd4zd6wnwz7hkkfh4
A Spatio-Temporal Appearance Representation for Video-Based Pedestrian Re-Identification
2015
2015 IEEE International Conference on Computer Vision (ICCV)
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representation for pedestrian re-identification. ...
Particularly, given a video sequence we exploit the periodicity exhibited by a walking person to generate a spatio-temporal body-action model, which consists of a series of body-action units corresponding ...
Gait has long been studied for video-based person identification [7, 21, 27] . ...
doi:10.1109/iccv.2015.434
dblp:conf/iccv/LiuMZH15
fatcat:vxpltuy5kjepbhct54omstbht4
Vehicle Re-Identification with Spatio-Temporal Model Leveraging by Pose View Embedding
2022
Electronics
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Consequently, we design a two-branch framework for vehicle Re-ID, including a Keypoint-based Pose Embedding Visual (KPEV) model and a Keypoint-based Pose-Guided Spatio-Temporal (KPGST) model. ...
Vehicle re-identification (Re-ID) research has intensified as numerous advancements have been made along with the rapid development of person Re-ID. ...
Acknowledgments: The authors would like to thank the anonymous reviewers and the editor for their careful reviews and constructive suggestions to help us improve the quality of this paper. ...
doi:10.3390/electronics11091354
fatcat:ewaqghwiivha7h6wdfottsvati
Co-Saliency Spatio-Temporal Interaction Network for Person Re-Identification in Videos
[article]
2020
arXiv
pre-print
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In this work, we propose a novel Co-Saliency Spatio-Temporal Interaction Network (CSTNet) for person re-identification in videos. ...
Person re-identification aims at identifying a certain pedestrian across non-overlapping camera networks. ...
Thus, video-based person re-identification has better potentials to address such challenges in image-based person re-identification. ...
arXiv:2004.04979v2
fatcat:qs43hpej6jdtzkobtkfgfqia7m
Guest Editorial Introduction to the Special Section on Intelligent Visual Content Analysis and Understanding
2020
IEEE transactions on circuits and systems for video technology (Print)
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Person Re-Identification refers to matching persons captured by multiply cameras. ...
In addition to network design, "Top-push constrained modality-adaptive dictionary learning for cross-modality person re-identification," by Zhang et al., discusses the crossmodality person re-identification ...
doi:10.1109/tcsvt.2020.3031416
fatcat:gpwbmydqbza5lddatxcfcidwcq
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