7 June 2004 Human detection in outdoor video
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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.
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Chunyu Ran, Ji Huang, Jie Song, "Human detection in outdoor video", Proc. SPIE 5292, Human Vision and Electronic Imaging IX, (7 June 2004); doi: 10.1117/12.526197; https://doi.org/10.1117/12.526197
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