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Proceedings Paper

An improved Camshift algorithm for target recognition
Author(s): Min Fu; Chao Cai; Yusu Mao
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Paper Abstract

Camshift algorithm and three frame difference algorithm are the popular target recognition and tracking methods. Camshift algorithm requires a manual initialization of the search window, which needs the subjective error and coherence, and only in the initialization calculating a color histogram, so the color probability model cannot be updated continuously. On the other hand, three frame difference method does not require manual initialization search window, it can make full use of the motion information of the target only to determine the range of motion. But it is unable to determine the contours of the object, and can not make use of the color information of the target object. Therefore, the improved Camshift algorithm is proposed to overcome the disadvantages of the original algorithm, the three frame difference operation is combined with the object's motion information and color information to identify the target object. The improved Camshift algorithm is realized and shows better performance in the recognition and tracking of the target.

Paper Details

Date Published: 14 December 2015
PDF: 9 pages
Proc. SPIE 9812, MIPPR 2015: Automatic Target Recognition and Navigation, 981208 (14 December 2015); doi: 10.1117/12.2203577
Show Author Affiliations
Min Fu, Huazhong Univ. of Science and Technology (China)
Wuhan Institute of Technology (China)
Chao Cai, Huazhong Univ. of Science and Technology (China)
Yusu Mao, Wuhan Institute of Technology (China)

Published in SPIE Proceedings Vol. 9812:
MIPPR 2015: Automatic Target Recognition and Navigation
Nong Sang; Xinjian Chen, Editor(s)

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