Computer Science ›› 2017, Vol. 44 ›› Issue (9): 304-307.doi: 10.11896/j.issn.1002-137X.2017.09.057

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Moving Objects Detection under Complex Background Based on ViBe

ZHANG Wen-ya, XU Hua-zhong and LUO Jie   

  • Online:2018-11-13 Published:2018-11-13

Abstract: Vibe algorithm is simple,fast,and has good foreground detection performance.It is one of the main methods of moving object detection background modeling.But it is still hard to detect the foreground for the outdoor video because of the complex background,such as camera shake or trembling leaves of the trees which leads to the inaccurate detection of the moving object.We presented a novel algorithm for moving object detection from a video.The improved approach of ViBe follows a new background model which uses the frame differencing instead of pixel value.Since the fixed threshold value of ViBe algorithm cannot reflect the change of background in real time,a method with self-adaptive threshold was proposed.The experimental results show that the improved algorithm can improve the accuracy of foreground detection,and it has good robustness against disturbance.

Key words: Moving object detection,Background modeling,ViBe algorithm,Frame differencing,Self-adaptive threshold

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