An In-Depth Exploration of Person Re-Identification and Gait Recognition in Cloth-Changing Conditions
Author:
Affiliation:
1. Institute of Information Science, Beijing Jiaotong University
2. School of Artificial Intelligence, Beijing Normal University
3. WATRIX.AI
Funder
Beijing Natural Science Foundation
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10203037/10203050/10204291.pdf?arnumber=10204291
Reference44 articles.
1. Exploit the Unknown Gradually: One-Shot Video-Based Person Re-identification by Stepwise Learning
2. Gait Lateral Network: Learning Discriminative and Compact Representations for Gait Recognition
3. Multi-view gait recognition using 3D convolutional neural networks
4. Bicnet-tks: Learning efficient spatialtemporal representation for video person reidentification;hou;Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition,0
5. A framework for evaluating the effect of view angle, clothing and carrying condition on gait recognition;yu;18th International Conference on Pattern Recognition (ICPR'06),0
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. LandmarkGait: Intrinsic Human Parsing for Gait Recognition;Proceedings of the 31st ACM International Conference on Multimedia;2023-10-26
2. Dual Level Adaptive Weighting for Cloth-Changing Person Re-Identification;IEEE Transactions on Image Processing;2023
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