Abstract
Gait represents a potential biometric as humans can perceive it. It is attractive because it requires no contact and less likely to be concealed. In gait recognition processes, gait image segmentation is important to final recognition result. In this paper, based on background subtraction, a segmentation method is proposed. The experiment results show the effectiveness of the proposed method.
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Acknowledgment
This work was supported by the grant of the basic and frontier technology research projects of Henan Province (Nos. 142300410309 & 142400410853), Science and Technology projects of the Henan Department of Education (No. 15A520101), and the grants of the introduction of talent project of SIAS University (2012YJRC01, 2012YJRC02).
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Zhang, S., Li, P., Wang, L., Zhang, Y. (2015). Gait Image Segmentation Based Background Subtraction. In: Huang, DS., Jo, KH., Hussain, A. (eds) Intelligent Computing Theories and Methodologies. ICIC 2015. Lecture Notes in Computer Science(), vol 9226. Springer, Cham. https://doi.org/10.1007/978-3-319-22186-1_56
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DOI: https://doi.org/10.1007/978-3-319-22186-1_56
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