Cited By
View all- Peng GZhang SZhao YLi AWang Y(2023)Frame Correlation Knowledge Distillation for Gait Recognition in the WildBiometric Recognition10.1007/978-981-99-8565-4_27(280-290)Online publication date: 2-Dec-2023
GaitPVD: Part-based View Distillation Network for Cross-View Gait Recognition
Authors: 
Lidan Shang, Dong Yin, Bin HuAuthors Info & Claims
Article No.: 25, Pages 1 - 6
Abstract
Gait is a biometric feature used for long-distance identification which has important applications in video surveillance. However, the performance of gait recognition is limited by view angle variation. To solve the problem, we propose a Part-based View Distillation network (GaitPVD) which is a teacher-student framework. Firstly, we design a part-based network and use the part-based teacher network in GaitPVD to extract the gait feature from the gait sequences under the normative view. Secondly, we adopt knowledge distillation to solve cross-view gait recognition and design a loss function(PVDLoss) that is used to train the student network, which can achieve the propagation of view knowledge in GaitPVD. Finally, we extract the gait features from the gait sequences by the student network and calculate the Euclidean distance among the features to get the identity information. It is demonstrated by comprehensive experiments that our method(GaitPVD) can achieve state-of-the-art recognition accuracy on the two most popular cross-view gait recognition datasets CASIA-B and OU-MVLP.
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Index Terms
- GaitPVD: Part-based View Distillation Network for Cross-View Gait Recognition
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Published: 07 December 2021
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- Anhui Province 2020 Major Science and Technology Special Project
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CSAE 2021
CSAE 2021: The 5th International Conference on Computer Science and Application Engineering
October 19 - 21, 2021
Sanya, China
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Cited By
View all- Peng GZhang SZhao YLi AWang Y(2023)Frame Correlation Knowledge Distillation for Gait Recognition in the WildBiometric Recognition10.1007/978-981-99-8565-4_27(280-290)Online publication date: 2-Dec-2023
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