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Frame-Guided Region-Aligned Representation for Video Person Re-Identification
2020
PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE
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To address the above issue, in this paper, we propose a Frame-Guided Region-Aligned model (FGRA) for discriminative representation learning in two steps in an end-to-end manner. ...
person re-identification methods. ...
person re-identification. ...
doi:10.1609/aaai.v34i07.6632
fatcat:2pbb7uaz3vg6jabidypma4uayi
Pose-Guided Multi-Scale Structural Relationship Learning for Video-Based Pedestrian Re-Identification
2021
IEEE Access
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How to extract discriminative features from redundant video information is a key issue for video pedestrian re-identification. ...
In this paper, a posture-guided multi-scale structural relationship learning pedestrian re-identification method is proposed. ...
How to extract discriminative video-level feature representations is a key issue in video person re-identification. ...
doi:10.1109/access.2021.3062967
fatcat:rec42qjynbg7dhpbfvvwy7t3ja
Watching You: Global-guided Reciprocal Learning for Video-based Person Re-identification
[article]
2021
arXiv
pre-print
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2021 pre-print arXiv:2103.04337v1 fatcat:j3igk5nwhnegfhhw3fhvcymexm
Video-based person re-identification (Re-ID) aims to automatically retrieve video sequences of the same person under non-overlapping cameras. ...
To address above issues, in this paper, we propose a novel Global-guided Reciprocal Learning (GRL) framework for video-based person Re-ID. ...
Conclusion In this paper, we propose a novel global-guided reciprocal learning framework for video-based person Re-ID. ...
arXiv:2103.04337v2
fatcat:akv2lbpblngbvmcjynqh2af62m
Body Part Alignment and Temporal Attention Pooling for Video-Based Person Re-Identification
2019
British Machine Vision Conference
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We present a novel deep neural network for video-based person re-identification that is designed to address two of the major issues that make this problem difficult. ...
Our resulting deep network improves over state-of-theart results on all three standard test sets for video-based person re-id (PRID2011 [8], iLIDS-VID [21] and MARS [27]). ...
appearance for person re-identification. ...
dblp:conf/bmvc/RambhatlaJ19
fatcat:tjv7rve7yna3tpxcc7uztn57fe
Jointly Attentive Spatial-Temporal Pooling Networks for Video-based Person Re-Identification
[article]
2017
arXiv
pre-print
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In this work, we present a novel joint Spatial and Temporal Attention Pooling Network (ASTPN) for video-based person re-identification, which enables the feature extractor to be aware of the current input ...
Person Re-Identification (person re-id) is a crucial task as its applications in visual surveillance and human-computer interaction. ...
Our video-based person re-identification system. ...
arXiv:1708.02286v2
fatcat:t2qh5fevhnezbfc4bwhwfmvhha
Deep Learning for Person Re-identification: A Survey and Outlook
[article]
2021
arXiv
pre-print
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2020 pre-print arXiv:2001.04193v1 fatcat:ygecnhzmsnaangvs2v7rva2niu
Person re-identification (Re-ID) aims at retrieving a person of interest across multiple non-overlapping cameras. ...
We first conduct a comprehensive overview with in-depth analysis for closed-world person Re-ID from three different perspectives, including deep feature representation learning, deep metric learning and ...
CLOSED-WORLD PERSON RE-IDENTIFICATION This section provides an overview for closed-world person Re-ID. ...
arXiv:2001.04193v2
fatcat:4d3thmsr3va2tnu72nawlu2wxy
Deep learning-based person re-identification methods: A survey and outlook of recent works
[article]
2022
arXiv
pre-print
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In recent years, with the increasing demand for public safety and the rapid development of intelligent surveillance networks, person re-identification (Re-ID) has become one of the hot research topics ...
Finally, we discuss some challenges and possible research directions for person Re-ID. ...
[203] proposed a query-guided end-to-end person search network (QEEPS) to join person detection and re-identification. ...
arXiv:2110.04764v5
fatcat:x2on7dfe2rdfxhaev3c3j34ugu
Deep Learning-based Occluded Person Re-identification: A Survey
[article]
2022
arXiv
pre-print
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With the promotion of deep learning technology and the increasing demand for intelligent video surveillance, the frequent occlusion in real-world applications has made occluded person Re-ID draw considerable ...
Occluded person re-identification (Re-ID) aims at addressing the occlusion problem when retrieving the person of interest across multiple cameras. ...
The region features guided by the key-points are then concatenated with the region features guided by the part masks accordingly to learn robust representations for re-identification. 3) Additional Supervision ...
arXiv:2207.14452v1
fatcat:egnltk4epndh5ovxaz3zocicim
Person Re-identification: A Retrospective on Domain Specific Open Challenges and Future Trends
[article]
2022
arXiv
pre-print
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Person re-identification (Re-ID) is one of the primary components of an automated visual surveillance system. ...
For the first time a survey of this type have been presented where the person re-Id approaches are reviewed in such solution-oriented perspective. ...
Datasets and performance evaluation Several image based and video based datasets for person re-identification models has been released. ...
arXiv:2202.13121v1
fatcat:luwwbcwspndqpauj4dosmmojee
What I See Is What You See: Joint Attention Learning for First and Third Person Video Co-analysis
[article]
2019
arXiv
pre-print
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However, techniques for analyzing the first-person video can be fundamentally different from those for the third-person video, and it is even more difficult to explore the shared information from both ...
In this paper, we propose a novel method for first- and third-person video co-analysis. ...
Attention model has shown its efficiency in various vision tasks such as person re-identification [20] [21] [22] 34] , image captioning [2, 7, 8] , pose estimation [10, 24, 26] and image classification ...
arXiv:1904.07424v1
fatcat:waciwtcfwbhddf736mmnqnpici
Toward human-centric deep video understanding
2020
APSIPA Transactions on Signal and Information Processing
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As we strive to leverage artificial intelligence to empower every person on the planet to achieve more, we need to understand people far better than we can today. ...
We also discuss the future perspectives of video understanding. ...
Spindle net: person re-identification with human body region guided feature decomposition and fusion, in Proc. of the https://www.cambridge.org/core/terms. https://doi.org/10.1017/atsip.2019.26 Downloaded ...
doi:10.1017/atsip.2019.26
fatcat:rtrqzokr6bc4lj6vs6megf5xru
A Flow-Guided Mutual Attention Network for Video-Based Person Re-Identification
[article]
2020
arXiv
pre-print
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Person Re-Identification (ReID) is a challenging problem in many video analytics and surveillance applications, where a person's identity must be associated across a distributed non-overlapping network ...
In addition to flow-guided attention, we introduce a method to aggregate features from longer input streams for better video sequence-level representation. ...
Introduction Person Re-Identification (ReID) refers to the problem of associating individuals over a set of non-overlapping camera views. ...
arXiv:2008.03788v2
fatcat:s44veemddvellam4dxibp7kqpy
Temporal-Consistent Visual Clue Attentive Network for Video-Based Person Re-Identification
2022
Proceedings of the 2022 International Conference on Multimedia Retrieval
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Video-based person re-identification (ReID) aims to match video trajectories of pedestrians across multi-view cameras and has important applications in criminal investigation and intelligent surveillance ...
Compared with single image re-identification, the abundant temporal information contained in video sequences makes it describe pedestrian instances more precisely and effectively. ...
Video-based Person Re-identification The video-based person re-identification (V-PRID) has embraced great attention because it fits real-world applications. ...
doi:10.1145/3512527.3531362
fatcat:o5qbcgl7tjfepifpy4ypeafege
Pose-Guided Spatial Alignment and Key Frame Selection for One-Shot Video-Based Person Re-Identification
2019
IEEE Access
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To address these challenges, we propose a one-shot video-based person re-identification model based on pose-guided spatial alignment and KFS. ...
INDEX TERMS Person re-identification, one-shot learning, spatial alignment, key frame selection, frame feature pooling. ...
ACKNOWLEDGMENTS The authors would like to thank the editor and reviewers for insightful comments. ...
doi:10.1109/access.2019.2922679
fatcat:3htx3azmhva5viobq5pt3hbti4
Video-based Person Re-identification via 3D Convolutional Networks and Non-local Attention
[article]
2019
arXiv
pre-print
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Video-based person re-identification (ReID) is a challenging problem, where some video tracks of people across non-overlapping cameras are available for matching. ...
Feature aggregation from a video track is a key step for video-based person ReID. Many existing methods tackle this problem by average/maximum temporal pooling or RNNs with attention. ...
For ease of comparison, we only report the cumulated re-identification accuracy at selected ranks. ...
arXiv:1807.05073v3
fatcat:do3g3rq7bfag7k53zzcv27ag74
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