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Multi-person tracking from sparse 3D trajectories in a camera sensor network
2008
2008 Second ACM/IEEE International Conference on Distributed Smart Cameras
We describe and evaluate a vision-based technique for tracking many people with a network of stereo camera sensors. The technique requires lightweight local communication and is suitable for crowded scenes where targets are frequently occluded and where appearance based modeling techniques fail. In our approach, multiple stereo sensors individually estimate the 3D trajectories of salient feature points on moving objects. Sensors communicate a subset of their sparse 3D measurements to other
doi:10.1109/icdsc.2008.4635679
dblp:conf/icdsc/HeathG08
fatcat:wcfebo5y6nafnevwm2i7fzbaky