Paper
13 March 2013 Multi-object vehicles detection algorithm based on computer vision
Shengzhuo Liang, Shuting Xu, Chao Hao
Author Affiliations +
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.
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Shengzhuo Liang, Shuting Xu, and Chao Hao "Multi-object vehicles detection algorithm based on computer vision", Proc. SPIE 8784, Fifth International Conference on Machine Vision (ICMV 2012): Algorithms, Pattern Recognition, and Basic Technologies, 87841H (13 March 2013); https://doi.org/10.1117/12.2014034
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KEYWORDS
Detection and tracking algorithms

Binary data

Machine vision

Computer vision technology

Evolutionary algorithms

Cameras

Image processing

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