Learning affinities and dependencies for multi-target tracking using a CRF model

@article{Yang2011LearningAA,
  title={Learning affinities and dependencies for multi-target tracking using a CRF model},
  author={Bo Yang and Chang Huang and Ramakant Nevatia},
  journal={CVPR 2011},
  year={2011},
  pages={1233-1240}
}
We propose a learning-based Conditional Random Field (CRF) model for tracking multiple targets by progressively associating detection responses into long tracks. Tracking task is transformed into a data association problem, and most previous approaches developed heuristical parametric models or learning approaches for evaluating independent affinities between track fragments (tracklets). We argue that the independent assumption is not valid in many cases, and adopt a CRF model to consider both… CONTINUE READING
Highly Cited
This paper has 136 citations. REVIEW CITATIONS

Citations

Publications citing this paper.
Showing 1-10 of 78 extracted citations

137 Citations

0102030'11'13'15'17
Citations per Year
Semantic Scholar estimates that this publication has 137 citations based on the available data.

See our FAQ for additional information.

References

Publications referenced by this paper.
Showing 1-10 of 19 references

Similar Papers

Loading similar papers…