关键词: 贝叶斯理论, 目标检测, 固定阈值, 动态阈值

Abstract: Moving object detection under complicated circumstance is one of the important tasks in the smart surveillance system, during the course of which the chosen threshold is one of the key factors. The traditional moving object detection algorithm based on the fixed threshold can hardly meet the practical requirement in complex environment. Therefore, a moving object detection method based on adaptive dynamic threshold is proposed using Bayesian theory, which can overcome the adverse effect of complex conditions such as illumination by introducing the mean and variance of the foreground image and the mean of the background image. The experimental results show that compared with the traditional fixed threshold method, the proposed method can suppress effectively the influence of the noise and take on robust and stable performance.

Key words: Bayesian theory, object detection, fixed threshold, dynamic threshold