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

Chen Wang, Junping Zhang, Jian Pu, Xiaoru Yuan, Liang Wang

Research output: Chapter or section in a book/report/conference proceedingChapter or section

112 Citations (SciVal)


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.
Original languageEnglish
Title of host publicationComputer Vision, ECCV 2010 - 11th European Conference on Computer Vision, Proceedings
Number of pages14
ISBN (Print)0302-9743
Publication statusPublished - Sept 2010
Event11th European Conference on Computer Vision, ECCV 2010, September 5, 2010 - September 11, 2010 - Heraklion, Crete, Greece
Duration: 1 Sept 2010 → …

Publication series

NameLecture Notes in Computer Science
PublisherSpringer Verlag


Conference11th European Conference on Computer Vision, ECCV 2010, September 5, 2010 - September 11, 2010
CityHeraklion, Crete
Period1/09/10 → …


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