关键词: 运动目标检测, 混合高斯模型, 八邻域帧差法, 形态学处理

Abstract: For the extraction of the moving subjects in a video clip, this paper proposes a moving target detection algorithm based on improved Gaussian mixture model and eight-neighbor frame difference method. Firstly, some frames of a video are converted into grayscal images and a statistics model based on Gaussian mixture distribution is set up. Following up, the sketch of the moving part is acquired through eight-neighbor frame difference method. For a more precise subtraction, the Gaussian mixture model is added to the algorithm. Combining with morphological processing, a complete and precise foreground is extracted. Experimental results show that the proposed algorithm has better effect on videos with slow-moving objects and large shadow areas, compared to earlier algorithms, and it is robust in multiple occasions.

Key words: moving object detection, Gaussian mixture model, eight-neighbor frame difference method, morphological processing