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Proceedings Paper

Fast target recognition and tracking in optical correlator using genetic algorithm
Author(s): Hui Jia; Pu Zhou; Guangzong Xiao; Zhen fang Fan
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Paper Abstract

Optical correlation manipulation presents great potential in future machine vision systems, which can be used in a large variety of application fields. Nevertheless, how to extract the tracking signal effectively and fast for the feedback system is still an open question. In the present paper, we present novel target recognition and tracking approach in optical correlator system. The tracking signal is extracted by using genetic algorithm. In this way, a photoelectric detector with short response time can be employed in the system instead of digital camera, the tracking signal can be extracted by iteratively evaluating the signal detected by the photoelectric detector until converge. Numerical simulations were performed to validate the validity of the approach presented in the manuscript.

Paper Details

Date Published: 25 November 2009
PDF: 4 pages
Proc. SPIE 7513, 2009 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Process Technology, 75131W (25 November 2009); doi: 10.1117/12.837958
Show Author Affiliations
Hui Jia, National Univ. of Defense Technology (China)
Pu Zhou, National Univ. of Defense Technology (China)
Guangzong Xiao, National Univ. of Defense Technology (China)
Zhen fang Fan, National Univ. of Defense Technology (China)


Published in SPIE Proceedings Vol. 7513:
2009 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Process Technology
Toru Yoshizawa; Ping Wei; Jesse Zheng, Editor(s)

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