Model-based human gait recognition using leg and arm movements |
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| Authors: | Faezeh Tafazzoli Reza Safabakhsh |
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| Affiliation: | 1. Computer Vision Institute, College of Computer Science and Software Engineering, Shenzhen University, Shenzhen 518060, China;2. National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China;1. College of Computer Science and Software Engineering, Shenzhen University, China;2. Department of Computer Science and Engineering, Southern University of Science and Technology, China;3. Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen, China;4. National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, China;5. Watrix technology limited co. ltd, China;1. Institute of Information and Control, Hangzhou Dianzi University, Hangzhou, China;2. Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Hong Kong;3. College of Automation, South China University of Technology, Guangzhou, China;4. College of Engineering, University of Notre Dame, Notre Dame, IN, USA |
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| Abstract: | We have presented a model-based approach for human gait recognition, which is based on analyzing the leg and arm movements. An initial model is created based on anatomical proportions, and a posterior model is constructed upon the movements of the articulated parts of the body, using active contour models and the Hough transform. Fourier analysis is used to describe the motion patterns of the moving parts. The k-nearest neighbor rule applied to the phase-weighted Fourier magnitude of each segment’s spectrum is used for classification. In contrast to the existing approaches, the main focus of this paper is on increasing the discrimination capability of the model through extra features produced from the motion of the arms. Experimental results indicate good performance of the proposed method. The technique has also proved to be able to reduce the adverse effects of self-occlusion, which is a common incident in human walking. |
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