Automatic detection and tracking of pedestrians from a moving stereo rig |
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| Authors: | Konrad Schindler Andreas Ess Bastian Leibe Luc Van Gool |
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| Institution: | a Photogrammetry and Remote Sensing, ETH Zürich, Switzerland;b Computer Vision Lab, ETH Zürich, Switzerland;c UMIC Research Centre, RWTH Aachen, Germany;d ESAT/PSI–VISICS, IBBT, KU Leuven, Belgium |
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| 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. |
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| Keywords: | Detection Tracking Vision Urban Scene |
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