Fusion of Multiple Camera Views for Kernel-Based 3D Tracking

@article{Tyagi2007FusionOM,
  title={Fusion of Multiple Camera Views for Kernel-Based 3D Tracking},
  author={Ambrish Tyagi and Gerasimos Potamianos and James William Davis and Stephen Chu},
  journal={2007 IEEE Workshop on Motion and Video Computing (WMVC'07)},
  year={2007},
  pages={1-1}
}
We present a computer vision system to robustly track an object in 3D by combining evidence from multiple calibrated cameras. Its novelty lies in the proposed unified approach to 3D kernel based tracking, that amounts to fusing the appearance features from all available camera sensors, as opposed to tracking the object appearance in the individual 2D views and fusing the results. The elegance of the method resides in its inherent ability to handle problems encountered by various 2D trackers… CONTINUE READING

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