Multi-object Tracking Based on Motion Detection and Motion Search

The article puts forward a new method for multi-object tracking with single camera. All of the new object area can be obtained by using the overall background subtraction in current frame, then making use of kalman filter and partial background subtractions, potential object area is obtained .According to the position and size of the new object area and the potential object area, it judges whether there is merger or cover exit, and uses different match method to carry on object tracking. Experimental result shows the algorithms can solve the problems such as merger or cover effectively with single camera, and have strong ability in multi-object tracking.