期刊名称：International Journal of Advanced Research In Computer Science and Software Engineering
印刷版ISSN：2277-6451
电子版ISSN：2277-128X
出版年度：2012
卷号：2
期号：7
出版社：S.S. Mishra
摘要：D Movable Object tracking is an interesting subject in the field of video tracking and its applications. When object is moving then its tracking is a challenging task in much vision area. In movable object tracking two tasks are perform first detection and second following the object path. This paper introduces an adjusted background histogram with mean shift for movable object tracking. In the proposed method, the adjusted background- histogram (ABH) plays an important role to reduce the interference of background in target localization in mean shift method. In this propose method a formula is generated by transforming only the target model. The proposed method has good accuracy to track a moving object in successive frames under some difficulties such as appearance changes due to image noise, etc. The advantages of this method are faster convergence and correct location of object as compare to mean shift. We will employ this approach for increasing the capability of moving object tracking
关键词：Movable Object Tracking; Mean Shift method; Target Representation ; Background Histogram; Mean Shift method with ;Adjusted Background Histogram;(MS with ABH
