A Fast Moving Object Detection Method via Local Neighborhood Similarity

Conference Paper · September 2009with7 Reads
DOI: 10.1109/ICMA.2009.5244841 · Source: IEEE Xplore
Conference: Mechatronics and Automation, 2009. ICMA 2009. International Conference on


    Background subtraction is widely used in moving object detection. Pixel-based methods are sensitive to the nonstationary change of the scenes. Region-based approaches allow only coarse detection of the moving objects. In this paper, a novel algorithm based on local neighborhood similarity is proposed. Integrate the similarity of its surrounding pixels with the background model, when a pixel needs to be judged. The performance of the proposed method is evaluated by a series of indoor and outdoor experiments. Compared with the current widely used Mixture of Gaussian, the proposed algorithm in this paper achieved the perfect results in object detection and extraction.