SURFTrac: Efficient tracking and continuous object recognition using local feature descriptors

@article{Ta2009SURFTracET,
  title={SURFTrac: Efficient tracking and continuous object recognition using local feature descriptors},
  author={Duy-Nguyen Ta and Wei-Chao Chen and Natasha Gelfand and Kari Pulli},
  journal={2009 IEEE Conference on Computer Vision and Pattern Recognition},
  year={2009},
  pages={2937-2944}
}
We present an efficient algorithm for continuous image recognition and feature descriptor tracking in video which operates by reducing the search space of possible interest points inside of the scale space image pyramid. Instead of performing tracking in 2D images, we search and match candidate features in local neighborhoods inside the 3D image pyramid without computing their feature descriptors. The candidates are further validated by fitting to a motion model. The resulting tracked interest… CONTINUE READING
Highly Cited
This paper has 207 citations. REVIEW CITATIONS
121 Citations
30 References
Similar Papers

Citations

Publications citing this paper.
Showing 1-10 of 121 extracted citations

208 Citations

02040'10'12'14'16'18
Citations per Year
Semantic Scholar estimates that this publication has 208 citations based on the available data.

See our FAQ for additional information.

References

Publications referenced by this paper.
Showing 1-10 of 30 references

Similar Papers

Loading similar papers…