Gait Recognition via Semi-supervised Disentangled Representation Learning to Identity and Covariate Features

• Published in: 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) pp. 13306 - 13316
• Main Authors: Li, Xiang, Makihara, Yasushi, Xu, Chi, Yagi, Yasushi, Ren, Mingwu
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.01.2020
• Subjects: Decoding; Face recognition; Feature extraction; Gait recognition; Image color analysis; Training

Existing gait recognition approaches typically focus on learning identity features that are invariant to covariates (e.g., the carrying status, clothing, walking speed, and viewing angle) and seldom involve learning features from the covariate aspect, which may lead to failure modes when variations...