Movable Object tracking by Using Mean Shift Method With Adjusted Background Histogram
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.