Social interaction based handling inter-person occlusion for online multi-pedestrian tracking

How to deal with occlusion among persons plays important role in robust multi-pedestrian tracking field. This paper proposes to handle inter-person occlusion by introducing social interaction - attraction and grouping from 2D image plane. This social interaction is systematically studied based on spatial-temporal information without utilizing any scene knowledge. Attraction is integrated into hierarchical data-association as a penalizing factor, while grouping is used to aid target´s motion dynamic. The comparison experimental results show that our method achieves results on par with, even better than state-of-the-art online tracking methods.