期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2014
卷号：5
期号：2
页码：2281-2283
出版社：TechScience Publications
摘要：Proposed system performs tracking, learning and detection of multiple objects in the video stream using a static camera. Proposed system does the tracking of multiple objects in presence of occlusion, clutter, scaling and rotation. There were many tracking approaches have been proposed in the past decades such as histogram based mean shit methods, contour based tracking methods but they were intensive while achieving better tracking accuracy. Proposed System presents robust tracking framework that can be applied to real time applications. Propose system is expected to track and detect the real time object which is under constant rotation upto 180 degree. General Terms-Extraction, matching template, tracking, detection
关键词：motion detection; improved tracking camshift;method; real time object learning
