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

@article{Tyagi2007FusionOM,
  title={Fusion of Multiple Camera Views for Kernel-Based 3D Tracking},
  author={A. Tyagi and G. Potamianos and J. Davis and S. 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… Expand
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References

SHOWING 1-10 OF 19 REFERENCES
Multi camera image tracking
  • 168
  • PDF
A Joint System for Person Tracking and Face Detection
  • 14
Joint Audio-Visual Tracking Using Particle Filters
  • 115
  • PDF
Kernel-Based Object Tracking
  • 4,898
  • PDF
A Multiview Approach to Tracking People in Crowded Scenes Using a Planar Homography Constraint
  • 393
  • PDF
Object tracking in an outdoor environment using fusion of features and cameras
  • 96
  • PDF
3D trajectory recovery for tracking multiple objects and trajectory guided recognition of actions
  • Rómer Rosales, S. Sclaroff
  • Computer Science
  • Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149)
  • 1999
  • 203
  • PDF
Adaptive Bayesian recognition in tracking rigid objects
  • Yuri Boykov, D. Huttenlocher
  • Computer Science
  • Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662)
  • 2000
  • 84
  • PDF
Multiview fusion for canonical view generation based on homography constraints
  • 10
  • PDF
...
1
2
...