Tracking target based on particle filtering and Mean Shift

Tracking object in video raises issue when the object makes random and rapid movement. This article presented a four-way prediction tracking algorithm based on particle filtering algorithm and Mean Shift algorithm. The algorithm combines respective advantages from both particle filtering algorithm and Mean Shift Algorithm. First, it use particle filtering algorithm to predict the possible region of target object. After that, we lock on the precise position of target object by using Mean Shift algorithm, it proved be efficient and speedy. Meanwhile, it uses the four-way prediction tracking algorithm to deal with the losing frames which lead by the random movement of target object, makes a dramatically improvement for the possibility of tracking. Experimental results show the algorithm has high robust when tracking target with random and rapid movement.