OBJECT TRACKING INITIALIZATION BASED ON AUTOMATIC MOVING OBJECT DETECTION: A SURVEY PAPER

In this paper we present new methods for object tracking initialization using automated moving object detection based on background subtraction. The new methods are integrated into the realtime object tracking system we previously proposed. Our proposed new background model updating<br>method and adaptive thresholding are used to produce a foreground object mask for object tracking<br>initialization. Traditional background subtraction method detects moving objects by subtracting the<br>background model from the current image