Volume 2, Issue 2 (6-2010)                   IJICTR 2010, 2(2): 1-8 | Back to browse issues page

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Armanfard N, Komeili M, Kabir E. A Novel Descriptor for Pedestrian Detection in Video Sequences . IJICTR. 2010; 2 (2) :1-8
URL: http://ijict.itrc.ac.ir/article-1-259-en.html
1- Dept. of Electrical and Computer Eng. Tarbiat Modarres University Tehran, Iran
Abstract:   (2902 Views)

This paper presents a novel Texture-Edge Descriptor, TED, for background modeling and pedestrian detection in video sequences which models texture and edge information of each image block simultaneously. Each block is modeled as a group of adaptive TED histograms that are calculated for pixels of the block over a rectangular neighborhood. TED is an 8-bit binary code which is independent of the neighborhood size. Experimental results over real-world sequences from PETS database clearly show that TED outperforms LBP.

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Type of Study: Research | Subject: Information Technology

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