The Way They Move: Tracking Multiple Targets with Similar Appearance

@article{Dicle2013TheWT,
  title={The Way They Move: Tracking Multiple Targets with Similar Appearance},
  author={Caglayan Dicle and Octavia I. Camps and Mario Sznaier},
  journal={2013 IEEE International Conference on Computer Vision},
  year={2013},
  pages={2304-2311}
}
We introduce a computationally efficient algorithm for multi-object tracking by detection that addresses four main challenges: appearance similarity among targets, missing data due to targets being out of the field of view or occluded behind other objects, crossing trajectories, and camera motion. The proposed method uses motion dynamics as a cue to distinguish targets with similar appearance, minimize target mis-identification and recover missing data. Computational efficiency is achieved by… CONTINUE READING

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References

Publications referenced by this paper.
SHOWING 1-10 OF 35 REFERENCES

Fast algorithms for structured robust principal component analysis

  • 2012 IEEE Conference on Computer Vision and Pattern Recognition
  • 2012
VIEW 11 EXCERPTS

Multitarget data association with higher-order motion models

  • 2012 IEEE Conference on Computer Vision and Pattern Recognition
  • 2012
VIEW 9 EXCERPTS
HIGHLY INFLUENTIAL

Fast track matching and event detection

  • 2008 IEEE Conference on Computer Vision and Pattern Recognition
  • 2008
VIEW 8 EXCERPTS

Multiple Object Tracking Using K-Shortest Paths Optimization

  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • 2011
VIEW 7 EXCERPTS
HIGHLY INFLUENTIAL

Global data association for multi-object tracking using network flows

  • 2008 IEEE Conference on Computer Vision and Pattern Recognition
  • 2008
VIEW 4 EXCERPTS
HIGHLY INFLUENTIAL

Cross-view activity recognition using Hankelets

  • 2012 IEEE Conference on Computer Vision and Pattern Recognition
  • 2012
VIEW 1 EXCERPT

Discrete-continuous optimization for multi-target tracking

  • 2012 IEEE Conference on Computer Vision and Pattern Recognition
  • 2012
VIEW 3 EXCERPTS