Abstract
Multiple object tracking (MOT) is a challenging topic when tracking objects with frequent interaction. In this thesis, we present a novel MOT method to handle interaction difficulties. In our method, we use distinguishable features between the target and non-target to represent the object appearance. Spatial information of object appearance is preserved by tracking every object using a region-based object tracker. The target location is calculated by the weighted sum of region’s estimated target location, where the region’s weight is obtained by evaluating the region tracking performance. When the selected features are no longer reliable due to human body movements or environmental changing, we use the proposed region-based feature updating method to update a feature according to its corresponding region’s status. Experimental results show that our method is robust when tracking objects during partial and serious occlusions, and the object’s discriminability in appearance model is well maintained when interaction among other objects occurs.