Articulated Multi-body Tracking under Egomotion

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 trajectory 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 propos...

• Type: Conference
• Year: 2008
• Where: ECCV
• Authors: Stephan Gammeter, Andreas Ess, Tobias Jaeggli, Konrad Schindler, Bastian Leibe, Luc J. Van Gool
• Keywords: Articulated Multi-person Tracking, Computer Vision, ECCV 2008, Global Pedestrian Silhouettes, Individual Pedestrian Trajectories, Multi-body Detection-based Tracker, Specialized Articulated Tracker