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Robust arbitrary view gait recognition based on parametric 3D human body reconstruction and virtual posture synthesis
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Luo, Jian, Tang, Jin, Tjahjadi, Tardi and Xiao, Xiaoming (2016) Robust arbitrary view gait recognition based on parametric 3D human body reconstruction and virtual posture synthesis. Pattern Recognition, 60 . pp. 361-377. ISSN 0031-3203.
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Official URL: http://dx.doi.org/10.1016/j.patcog.2016.05.030
Abstract
This paper proposes an arbitrary view gait recognition method where the gait recognition is performed in 3-dimensional (3D) to be robust to variation in speed, inclined plane and clothing, and in the presence of a carried item. 3D parametric gait models in a gait period are reconstructed by an optimized 3D human pose, shape and simulated clothes estimation method using multiview gait silhouettes. The gait estimation involves morphing a new subject with constant semantic constraints using silhouette cost function as observations. Using a clothes-independent 3D parametric gait model reconstruction method, gait models of different subjects with various postures in a cycle are obtained and used as galleries to construct 3D gait dictionary. Using a carrying-items posture synthesized model, virtual gait models with different carrying-items postures are synthesized to further construct an over-complete 3D gait dictionary. A self-occlusion optimized simultaneous sparse representation model is also introduced to achieve high robustness in limited gait frames. Experimental analyses on CASIA B dataset and CMU MoBo dataset show a significant performance gain in terms of accuracy and robustness.
Item Type: | Journal Article | ||||||||||
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Alternative Title: | |||||||||||
Subjects: | T Technology > TA Engineering (General). Civil engineering (General) | ||||||||||
Divisions: | Faculty of Science, Engineering and Medicine > Engineering > Engineering | ||||||||||
Library of Congress Subject Headings (LCSH): | Gait in humans -- Computer programs, Pattern recognition systems, Computer vision | ||||||||||
Journal or Publication Title: | Pattern Recognition | ||||||||||
Publisher: | Pergamon | ||||||||||
ISSN: | 0031-3203 | ||||||||||
Official Date: | December 2016 | ||||||||||
Dates: |
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Volume: | 60 | ||||||||||
Page Range: | pp. 361-377 | ||||||||||
Status: | Peer Reviewed | ||||||||||
Publication Status: | Published | ||||||||||
Access rights to Published version: | Restricted or Subscription Access | ||||||||||
Date of first compliant deposit: | 31 May 2016 | ||||||||||
Date of first compliant Open Access: | 30 May 2017 | ||||||||||
Funder: | Guo jia zi ran ke xue ji jin wei yuan hui (China) [National Natural Science Foundation of China] (NSFC), Hunan Provincial Education Department (HPED), Hunan, China (Province). Science and Technology Program | ||||||||||
Grant number: | 61403426 (NSF), 91220301 (NSF), 15C0981 (HPED), 2015WK3006 (STPH) |
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