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Proceedings Paper

Multi-object vehicles detection algorithm based on computer vision
Author(s): Shengzhuo Liang; Shuting Xu; Chao Hao
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Paper Abstract

This paper focused on analyzing the algorithm of multi-object vehicles detection and picking up in the vision field when the camera is fixed. From the perspective of given condition and environment, combining the key and difficult points, according to the continual vision sequence recorded by camera, discussing and analyzing the several realization algorithms of the multi-moving vehicles detection, extraction, identification and classification. On this basis we present modification and improvement of the relevant algorithms. Therefore in the limit of given condition, effectively increasing the real-time, object, robustness and adaptability multi-moving vehicles detection and extracting.

Paper Details

Date Published: 13 March 2013
PDF: 5 pages
Proc. SPIE 8784, Fifth International Conference on Machine Vision (ICMV 2012): Algorithms, Pattern Recognition, and Basic Technologies, 87841H (13 March 2013); doi: 10.1117/12.2014034
Show Author Affiliations
Shengzhuo Liang, Nanchang Univ. (China)
Shuting Xu, Nanchang Univ. (China)
Chao Hao, Nanchang Univ. (China)


Published in SPIE Proceedings Vol. 8784:
Fifth International Conference on Machine Vision (ICMV 2012): Algorithms, Pattern Recognition, and Basic Technologies
Yulin Wang; Liansheng Tan; Jianhong Zhou, Editor(s)

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