Simultaneous Tracking and Activity Recognition (STAR) using Advanced Agent-Based Behavioral Simulations
Fansi T. Arsène, Vincent Thomas, Olivier Buffet, Fabien Flacher, Alain Dutech · Frontiers in artificial intelligence and applications · 2014
Tracking and understanding moving pedestrian behaviors is of major concern for a growing number of applications. Classical approaches either consider both problems separately or treat them simultaneously on the basis of limited contextual graphical models. In this paper, we consider tackling both problems jointly based on richer contextual information issued from agent-based behavioral simulators designed for realistically reproducing human behaviors within complex environments. We focus on the single target case and experimentally show that the proposed approach keeps good performances even in case of long periods of occlusion.