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Proceedings Paper

A fast and accurate moving target detection method
Author(s): Ningming Wang
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Paper Abstract

This paper proposes a significant moving target detection method combining time difference and optical flow field filter for scenes with complex backgrounds such as streets and traffic intersections. Firstly, the gradation change region of the sequence image is obtained by using the cumulative frame difference, then the Lucas-Kanade optical flow algorithm is introduced to obtain the optical flow field of the gray-scale change region. Finally, the optical flow time filter is used to filter the interference motion in the image background. The method can not only detect the motion area quickly and accurately, but also distinguish the spurious interference motion from the salient target (such as people, cars, etc.). So it detects the moving target in a complex background easily.

Paper Details

Date Published: 12 March 2019
PDF: 5 pages
Proc. SPIE 11023, Fifth Symposium on Novel Optoelectronic Detection Technology and Application, 1102315 (12 March 2019); doi: 10.1117/12.2521230
Show Author Affiliations
Ningming Wang, Science and Technology on Optical Radiation Lab. (China)

Published in SPIE Proceedings Vol. 11023:
Fifth Symposium on Novel Optoelectronic Detection Technology and Application
Qifeng Yu; Wei Huang; You He, Editor(s)

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