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| Investigation on Visual Background Extractor Based on Gray Feature and Adaptive Threshold |
| Zhuang Zhe-min① Zhang Cong-you① Yang Jin-yao② Li Fen-lan① |
①(Department of Electronic Engineering, Shantou University, Shantou 515063, China)
②(Shantou Institute of Ultrasonic Instruments Limited Corporation, Shantou 515000, China) |
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Abstract In order to solve the problem of the ghost and the shadow of moving object, an improved Visual Background extractor (ViBe) algorithm is proposed based on gray feature and adaptive threshold. The new method firstly applies the ViBe algorithm to obtain the foreground object, and then uses the gray feature judgment, as well as the adaptive threshold comparison in the foreground object to get the moving object without the ghost and the shadow. Experiments show that the improved algorithm results in better recognition accuracy.
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Received: 10 March 2014
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Corresponding Authors:
Zhang Cong-you
E-mail: 11cyzhang1@stu.edu.cn
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2015, Vol. 37 
