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Optical Engineering

Human detection using relational color similarity features
Author(s): Miaohui Zhang; Jingqin Lv; Jie Yang
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Paper Abstract

The gradient based feature, such as histograms of oriented gradients, focuses on the spatial distribution of edge orientations, but disregards the color information. Color-based features are very popular in image classification but rarely used in human detection. In this paper we propose a new human detection method by combining texture-based features with color information. Basically, local binary pattern (LBP) is used as a texture feature, and a new color feature, relational color similarity (RCS), is introduced to enrich the descriptor set. By combining RCS and LBP as the feature set, adopting linear support vector machine (SVM) as the classifier, carefully designed experiments demonstrate the superiority of RCS-LBP over other traditional features for human detection on INRIA human database.

Paper Details

Date Published: 1 September 2011
PDF: 4 pages
Opt. Eng. 50(9) 097201 doi: 10.1117/1.3621517
Published in: Optical Engineering Volume 50, Issue 9
Show Author Affiliations
Miaohui Zhang, Shanghai Jiao Tong Univ. (China)
Jingqin Lv, Shanghai Jiao Tong Univ. (China)
Jie Yang, Shanghai Jiao Tong Univ. (China)


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