Semantic segmentation of trajectories with improved agent models for pedestrian behavior analysis

12 Dec 2019Toru TamakiDaisuke OgawaBisser RaytchevKazufumi Kaneda

In this paper, we propose a method for semantic segmentation of pedestrian trajectories based on pedestrian behavior models, or agents. The agents model the dynamics of pedestrian movements in two-dimensional space using a linear dynamics model and common start and goal locations of trajectories... (read more)

PDF Abstract


No code implementations yet. Submit your code now

Results from the Paper

  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.