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

Yan Wang, Yang Yu, Gang Yan and Yingchun Guo
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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

International Journal of Advanced Pervasive and Ubiquitous Computing (IJAPUC), 2014, vol. 6, issue 1, 44-59

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.

Date: 2014
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