Pedestrian oriented multi-object tracking algorithm in video sequence

To track pedestrian oriented multiple objects in video sequence, this paper presents a tracking algorithm using multi-cue integration approach and high degree occlusion processing. Combined with the mean-shift algorithm, multi-cue integration method could track object in normal condition by fusing the color and motion information. To deal with the issue of occlusion involving multiple objects, the area change of the object during occlusion has been analyzed in theory. An occlusion factor is advanced to detect occlusion occur, identify obstructer or occluded object and to check the reappearance of an occluded object. Experiment results show that the proposed tracking algorithm could correctly find out and resolve the occlusion among the multiple objects so that it could successfully track the multiple pedestrians.