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Proceedings Paper

Research on target tracking in coal mine based on optical flow method
Author(s): Hongye Xue; Qingwei Xiao
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Paper Abstract

To recognize, track and count the bolting machine in coal mine video images, a real-time target tracking method based on the Lucas-Kanade sparse optical flow is proposed in this paper. In the method, we judge whether the moving target deviate from its trajectory, predicate and correct the position of the moving target. The method solves the problem of failure to track the target or lose the target because of the weak light, uneven illumination and blocking. Using the VC++ platform and Opencv lib we complete the recognition and tracking. The validity of the method is verified by the result of the experiment.

Paper Details

Date Published: 4 March 2015
PDF: 6 pages
Proc. SPIE 9443, Sixth International Conference on Graphic and Image Processing (ICGIP 2014), 94430Q (4 March 2015); doi: 10.1117/12.2178911
Show Author Affiliations
Hongye Xue, Xi'an Univ. of Science and Technology (China)
Qingwei Xiao, Xi'an Univ. of Science and Technology (China)

Published in SPIE Proceedings Vol. 9443:
Sixth International Conference on Graphic and Image Processing (ICGIP 2014)
Yulin Wang; Xudong Jiang; David Zhang, Editor(s)

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