期刊名称：International Journal of Soft Computing & Engineering
电子版ISSN：2231-2307
出版年度：2013
卷号：2
期号：6
页码：1-3
出版社：International Journal of Soft Computing & Engineering
摘要：Background subtraction is very important part of surveillance applications for successful segmentation of moving objects from video sequences. We present a novel & robust algorithm, for human motion detection and tracking in dynamic scenes based on background modelling technique to analyze the illumination change for detection & tracking of moving objects. Successive frame difference is taken and compared for the required set threshold for the changing pixel detection. Experimental result shows the high performance of the proposed method for human tracking in noisy backgrounds.
关键词：object detection; tracking; video survelliance;backgoround model; illumination change.
