关键词: 运动目标检测, 背景差分法, ViBe算法, 鬼影消除, 自适应阈值

Abstract: Background differencing is the commonly used method for the detection of moving objects in the static background， and the ViBe algorithm is the main modeling approach. In order to solve the problem about low rate of ghost elimination caused by the execution of ViBe algorithm， an improved ViBe algorithm combining with frame difference method is proposed. By using the frame difference method， the ghost pixel is judged according to the changes in time domain for related pixel value， which can improve the rate of ghost elimination. Since the specific condition of each pixel cannot be reflected with the fixed threshold， a method with self-adaptive threshold is proposed. The threshold of each pixel is set according to the change of the pixel value， which can improve the accuracy of foreground detection. The experimental results show that the ViBe algorithm combining with frame difference technology can be used to eliminate the ghost in the detection results more quickly， and the foreground can be detected more accurately using the ViBe algorithm with self-adaptive threshold.

Key words: moving object detection, background difference algorithm, ViBe algorithm, ghost elimination, self-adaptive threshold