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Moving Objects Detection Based on the Precise Background Compensation Under Dynamic Scene

Author

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  • Yan Wang

    (School of Computer Science and Engineering, Hebei University of Technology, Tianjin, China)

  • Yang Yu

    (School of Computer Science and Engineering, Hebei University of Technology, Tianjin, China)

  • Gang Yan

    (School of Computer Science and Engineering, Hebei University of Technology, Tianjin, China)

  • Yingchun Guo

    (School of Computer Science and Engineering, Hebei University of Technology, Tianjin, China)

Abstract

In order to detect the moving object under dynamic scenes accurately, this paper proposes a moving object detection method which is based on the precise background compensation. First, the SURF (Speeded-Up Robust Features) algorithm is used to extract feature points, and the BBF(Best-Bin-First) search algorithm is adopted to match feature points, in addition the reverse constraint strategy is employed to remove the mismatching points. To enhance the accuracy of the background compensation, a dynamic threshold is set to remove the target feature points influence for the global motion parameters. At last, a combination of interval three-frame- -differencing and morphological method is used to detect the moving objects. Experimental results show that this method has good performance on multiple moving targets detection.

Suggested Citation

  • Yan Wang & Yang Yu & Gang Yan & Yingchun Guo, 2014. "Moving Objects Detection Based on the Precise Background Compensation Under Dynamic Scene," International Journal of Advanced Pervasive and Ubiquitous Computing (IJAPUC), IGI Global, vol. 6(1), pages 44-59, January.
    • Handle: RePEc:igg:japuc0:v:6:y:2014:i:1:p:44-59
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