Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
555210 | ISPRS Journal of Photogrammetry and Remote Sensing | 2010 | 15 Pages |
Abstract
We report on a stereo system for 3D detection and tracking of pedestrians in urban traffic scenes. The system is built around a probabilistic environment model which fuses evidence from dense 3D reconstruction and image-based pedestrian detection into a consistent interpretation of the observed scene, and a multi-hypothesis tracker to reconstruct the pedestrians’ trajectories in 3D coordinates over time. Experiments on real stereo sequences recorded in busy inner-city scenarios are presented, in which the system achieves promising results.
Related Topics
Physical Sciences and Engineering
Computer Science
Information Systems
Authors
Konrad Schindler, Andreas Ess, Bastian Leibe, Luc Van Gool,