关键词: 光照变化, 运动目标, Vibe算法, Otsu算法, 目标检测

Abstract: Vibe algorithm is regarded as an effective pixel-level background modeling algorithm. But it can not be adapted to the light mutations as same as the mixed Gauss model. On the basis of Vibe algorithm, it proposes that a robust moving target detection method for light charges in static scenes. Firstly, the Vibe mode is used to establish the background frame, and it updates background frame using the pixel which judged as background by Vibe model. Secondly, differences of the current image frame and the background video frame are put. And Otsu algorithm is used to calculate the image segmentation threshold to detect moving targets. Experimental result shows that the improved method can eliminate the “exposure” phenomenon caused by the change of the environment, improves the accuracy of moving target detection, and has a good effect on the shadow of the indoor scene.

Key words: lighting changes, moving target, Vibe algorithm, Otsu algorithm, target detection