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Tracking of the object movement in the input frame of video is an important process for various real time application such as video-conferencing, human robotics or human computer interface or in the analysis of social interaction. The important step is to determine the path of the object. The various techniques to track the multiple moving objects in a input frame of video have been proposed. This paper gives a brief analysis of recent multi-object trackers algorithms based on markov model and particle filtering

A literature review on recent multi-object tracking methods based on HMM and particle filter