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Proceedings Paper

Research of the head detection algorithm based on several regional growth and feature extraction
Author(s): Jian-hua Xu; Xiao-rong Chen; Shu-guang Dai; Ping-an Mu
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Paper Abstract

For more spacious place where the human bodies are sparse and scattered, it is feasible and convenient to use algorithm of frames subtraction or background elimination which can extract the human bodies. But for the places where the human bodies are intensive such as on the buses, it is difficult to segment the bodies using this algorithm. Since the heads are more scattered than the bodies, an algorithm based on several regional growths and feature extraction is studied to detect the heads in this paper. If the clothes gray is similar to the head gray, morphologic operation is used to extract the head again. Also this paper shows the flow of the algorithm in detail. Many images taken by the bus camera were used for the experiment. The result shows that the bus passengers could be detected exactly which verified the effectiveness of the algorithm.

Paper Details

Date Published: 11 July 2009
PDF: 6 pages
Proc. SPIE 7489, PIAGENG 2009: Image Processing and Photonics for Agricultural Engineering, 74890J (11 July 2009); doi: 10.1117/12.836934
Show Author Affiliations
Jian-hua Xu, Univ. of Shanghai for Science and Technology (China)
Xiao-rong Chen, Univ. of Shanghai for Science and Technology (China)
Shu-guang Dai, Univ. of Shanghai for Science and Technology (China)
Ping-an Mu, Univ. of Shanghai for Science and Technology (China)


Published in SPIE Proceedings Vol. 7489:
PIAGENG 2009: Image Processing and Photonics for Agricultural Engineering
Honghua Tan; Qi Luo, Editor(s)

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