Research

Chrono-gait image: A novel temporal template for gait recognition


Reference:

Wang, C., Zhang, J., Pu, J., Yuan, X. and Wang, L., 2010. Chrono-gait image: A novel temporal template for gait recognition. In: Computer Vision, ECCV 2010 - 11th European Conference on Computer Vision, Proceedings. Springer, pp. 257-270. (Lecture Notes in Computer Science)

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Official URL:

http://dx.doi.org/10.1007/978-3-642-15549-9_19

Abstract

In this paper, we propose a novel temporal template, called Chrono-Gait Image (CGI), to describe the spatio-temporal walking pattern for human identification by gait. The CGI temporal template encodes the temporal information among gait frames via color mapping to improve the recognition performance. Our method starts with the extraction of the contour in each gait image, followed by utilizing a color mapping function to encode each of gait contour images in the same gait sequence and compositing them to a single CGI. We also obtain the CGI-based real templates by generating CGI for each period of one gait sequence and utilize contour distortion to generate the CGI-based synthetic templates. In addition to independent recognition using either of individual templates, we combine the real and synthetic temporal templates for refining the performance of human recognition. Extensive experiments on the USF HumanID database indicate that compared with the recently published gait recognition approaches, our CGI-based approach attains better performance in gait recognition with considerable robustness to gait period detection.

Details

Item Type Book Sections
CreatorsWang, C., Zhang, J., Pu, J., Yuan, X. and Wang, L.
DOI10.1007/978-3-642-15549-9_19
DepartmentsFaculty of Science > Computer Science
StatusPublished
ID Code21847
Additional Information11th European Conference on Computer Vision, ECCV 2010. 5-11 September 2010. Heraklion, Crete, Greece.

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