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Proceedings Paper

An E-centrist descriptor based on contour enhancement for pedestrian recognition in video surveillance
Author(s): Yansheng Li; Yihua Tan; Hang Li; Tao Li; Jinwen Tian
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Paper Abstract

This letter mainly aims at an E-Centrist descriptor for the pedestrian recognition in image sequences with background moving slowly. Utilizing the motion information detected from the image sequences, pedestrian recognition algorithm is implemented by combining region of interest(ROI)which probably includes potential pedestrians and an enhanced descriptor from contour. Experimental results demonstrate that the presented method improves the speed as well as the accuracy of pedestrian recognition in test sequences.

Paper Details

Date Published: 26 October 2013
PDF: 6 pages
Proc. SPIE 8918, MIPPR 2013: Automatic Target Recognition and Navigation, 891819 (26 October 2013); doi: 10.1117/12.2031377
Show Author Affiliations
Yansheng Li, Huazhong Univ. of Science and Technology (China)
Yihua Tan, Huazhong Univ. of Science and Technology (China)
Hang Li, Huazhong Univ. of Science and Technology (China)
Tao Li, Huazhong Univ. of Science and Technology (China)
Jinwen Tian, Huazhong Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 8918:
MIPPR 2013: Automatic Target Recognition and Navigation
Tianxu Zhang; Nong Sang, Editor(s)

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