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Proceedings Paper

Human detection in outdoor video
Author(s): Chunyu Ran; Ji Huang; Jie Song
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Paper Abstract

A novel approach for detection of multiple pedestrians from binocular video sequences is reported. First foreground is segmented using an efficient algorithm [3]. Then Ω shape is used to detect head-shoulder contour. We propose a Simplified Fourier Descriptor to represent transformed 1-D shape in phasor notation. A probabilistic model is introduced to evaluate the distribution of SFD in frequency domain. Clues from motion flow and object depth is used to filter out false detection. The proposed system has been tested on several indoor and outdoor sequences. Preliminary experiments have shown that it can robustly detect multiple pedestrians. Experimental results show that the approach is a suitable for real time pedestrian detection.

Paper Details

Date Published: 7 June 2004
PDF: 8 pages
Proc. SPIE 5292, Human Vision and Electronic Imaging IX, (7 June 2004); doi: 10.1117/12.526197
Show Author Affiliations
Chunyu Ran, Wuhan Univ. of Technology (China)
Ji Huang, Wuhan Univ. of Technology (China)
Jie Song, Wuhan Univ. of Technology (China)


Published in SPIE Proceedings Vol. 5292:
Human Vision and Electronic Imaging IX
Bernice E. Rogowitz; Thrasyvoulos N. Pappas, Editor(s)

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