An E-centrist descriptor based on contour enhancement for pedestrian recognition in video surveillance

Yansheng Li; Yihua Tan; Hang Li; Tao Li; Jinwen Tian

doi:10.1117/12.2031377

26 October 2013 An E-centrist descriptor based on contour enhancement for pedestrian recognition in video surveillance

Yansheng Li, Yihua Tan, Hang Li, Tao Li, Jinwen Tian

Proceedings Volume 8918, MIPPR 2013: Automatic Target Recognition and Navigation; 891819 (2013) https://doi.org/10.1117/12.2031377
Event: Eighth International Symposium on Multispectral Image Processing and Pattern Recognition, 2013, Wuhan, China

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.

Citation Download Citation

Yansheng Li, Yihua Tan, Hang Li, Tao Li, and Jinwen Tian "An E-centrist descriptor based on contour enhancement for pedestrian recognition in video surveillance", Proc. SPIE 8918, MIPPR 2013: Automatic Target Recognition and Navigation, 891819 (26 October 2013); https://doi.org/10.1117/12.2031377

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