Paper
24 November 2009 Fast target recognition and tracking in optical correlator using genetic algorithm
Hui Jia, Pu Zhou, Guangzong Xiao, Zhen fang Fan
Author Affiliations +
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.
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Hui Jia, Pu Zhou, Guangzong Xiao, and Zhen fang Fan "Fast target recognition and tracking in optical correlator using genetic algorithm", Proc. SPIE 7513, 2009 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Process Technology, 75131W (24 November 2009); https://doi.org/10.1117/12.837958
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KEYWORDS
Signal detection

Optical correlators

Genetic algorithms

Optical tracking

Target recognition

Numerical simulations

Sensors

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