关键词: 背景建模, 目标检测, 鬼影, 动态程度, 图像亮度变化

Abstract: As the ViBe algorithm has some ghost which will be a long time, weak adaptability to dynamic scene and strong sensibility to light changes, it proposes an improved algorithm which is more adaptable in this paper. In the background model initialization, the background model with the actual degree of agreement reaches 86.78%, it is formed after the multi frame images are randomly selected and accumulated judgment. Then it puts forward the measure background dynamic degree factor, according to its value, it can obtain the image’s adaptive clustering and threshold update, in order to improve the detection accuracy in complex background. Considering the effect of the change of light on the detection results, it puts forward the image brightness factor and uses it in the cluster detection and increases the robustness of the algorithm to the illumination. Compared with other algorithms, improved algorithm can detect target object accurately in different scenarios and has better adaptability in kinds of scenes.

Key words: background modeling, object detection, ghost, dynamic degree, image brightness variations