Zhuang Zhe-Min, Zhang Cong-You, Yang Jin-Yao, Li Fen-Lan. Investigation on Visual Background Extractor Based on Gray Feature and Adaptive Threshold[J]. Journal of Electronics & Information Technology, 2015, 37(2): 346-352. doi: 10.11999/JEIT140317
Citation:
Zhuang Zhe-Min, Zhang Cong-You, Yang Jin-Yao, Li Fen-Lan. Investigation on Visual Background Extractor Based on Gray Feature and Adaptive Threshold[J]. Journal of Electronics & Information Technology, 2015, 37(2): 346-352. doi: 10.11999/JEIT140317
Zhuang Zhe-Min, Zhang Cong-You, Yang Jin-Yao, Li Fen-Lan. Investigation on Visual Background Extractor Based on Gray Feature and Adaptive Threshold[J]. Journal of Electronics & Information Technology, 2015, 37(2): 346-352. doi: 10.11999/JEIT140317
Citation:
Zhuang Zhe-Min, Zhang Cong-You, Yang Jin-Yao, Li Fen-Lan. Investigation on Visual Background Extractor Based on Gray Feature and Adaptive Threshold[J]. Journal of Electronics & Information Technology, 2015, 37(2): 346-352. doi: 10.11999/JEIT140317
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.