Video Object Detection and Tracking using kalman filter and color histogram-based Matching algorithm

Video coding is most popular from 1990 starting with video teleconferencing, videophone, videoCD, DTV, HDTV,Multimedia framework,etc.,Video compression becomes most important when considering the space requirement, channel width and the requirement of hardware. However, when multiple objects must be tracked simultaneously, significant computation is often introduced in order to handle occlusion and to calculate the appropriate region correspondence between successive frames.In this paper, we proposed a new algorithm that considers the confusing situations (i.e. inter-object occlusions and separation) when multiple objects are being tracked. This data provides the information for evaluating the motion detection and tracking systems. We demonstrate our techniques using real-world video data to automatically track humans with both inter-object and scene occlusions.Experiments have demonstrated the method is valid and fast when applied on several videos under confusing situations.