Recovery and Reasoning About Occlusions in 3D Using Few Cameras with Applications to 3D Tracking

@article{Keck2011RecoveryAR,
  title={Recovery and Reasoning About Occlusions in 3D Using Few Cameras with Applications to 3D Tracking},
  author={Mark A. Keck and James W. Davis},
  journal={International Journal of Computer Vision},
  year={2011},
  volume={95},
  pages={240-264}
}
In this work we propose algorithms to learn the locations of static occlusions and reason about both static and dynamic occlusion scenarios in multi-camera scenes for 3D surveillance (e.g., reconstruction, tracking). We will show that this leads to a computer system which is able to more effectively track (follow) objects in video when they are obstructed from some of the views. Because of the nature of the application area, our algorithm will be under the constraints of using few cameras (no… CONTINUE READING

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