Wang Shuqi
School of communication and Information Engineering, Xi�an University of Science and Technology, No. 58 Yanta Middle Road, Xi�an, Shaanxi, 710054, China
Wang Lu
School of communication and Information Engineering, Xi�an University of Science and Technology, No. 58 Yanta Middle Road, Xi�an, Shaanxi, 710054, China
ABSTRACT
In order to improve the tracking speed and the precision of the moving target of the monitoring image in the coal mine, a fast template matching target tracking method has been proposed. According to the relationship of the time and space constraints in the target tracking process, the Kalman filter has been used to predict so as to obtain the initial search point frame, the searching strategy of adaptive step length and forecast has been used, it adjust the scope and the step size of the searching area which use the update mechanism in the template to guarantee the real-time of the information, it could reduce the amount of calculation for the template matching process. Experimental results show that the tracking velocity and the tracking precision of the moving object in video undergrounded has been improved in the coal mine complex condition.
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How to cite this article
Wang Shuqi and Wang Lu, 2013. A Rapid Target Tracking Algorithm Based on Template Match for Monitoring Image in Coal Mine. Information Technology Journal, 12: 5341-5345.
DOI: 10.3923/itj.2013.5341.5345
URL: https://scialert.net/abstract/?doi=itj.2013.5341.5345
DOI: 10.3923/itj.2013.5341.5345
URL: https://scialert.net/abstract/?doi=itj.2013.5341.5345
REFERENCES
- Chen, H. and C.W. Ma, 2009. Fast template matching arithmetic based on image gray statistic. Acta Photonica Sinica, 6: 1586-1590.
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