Multiple object tracking with partial occlusion handling using salient feature points
We propose a multiple object tracking method in the presence of partial occlusion. An object is represented by a bounding rectangle that encloses salient feature points. We track objects by the feature points instead of an object itself for effectiveness. The incorrectly tracked feature points due to occlusion are corrected by outlier analysis. The proposed method demonstrates high effectiveness in tracking multiple occluded objects.
multiple object tracking partial occlusion salient feature point particle filter corner detection