Articulated Multi-body Tracking under Egomotion [chapter]

Stephan Gammeter, Andreas Ess, Tobias Jäggli, Konrad Schindler, Bastian Leibe, Luc Van Gool
2008 Lecture Notes in Computer Science  
In this paper, we address the problem of 3D articulated multi-person tracking in busy street scenes from a moving, human-level observer. In order to handle the complexity of multi-person interactions, we propose to pursue a twostage strategy. A multi-body detection-based tracker first analyzes the scene and recovers individual pedestrian trajectories, bridging sensor gaps and resolving temporary occlusions. A specialized articulated tracker is then applied to each recovered pedestrian
more » ... in parallel to estimate the tracked person's precise body pose over time. This articulated tracker is implemented in a Gaussian Process framework and operates on global pedestrian silhouettes using a learned statistical representation of human body dynamics. We interface the two tracking levels through a guided segmentation stage, which combines traditional bottom-up cues with top-down information from a human detector and the articulated tracker's shape prediction. We show the proposed approach's viability and demonstrate its performance for articulated multi-person tracking on several challenging video sequences of a busy inner-city scenario.
doi:10.1007/978-3-540-88688-4_60 fatcat:bz3y77qcvzf3fkjnwkcxvvq6fq