CAMTrack: a combined appearance-motion method for multiple-object tracking
Author:
Funder
National Research Foundation of Korea
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s00138-024-01548-w.pdf
Reference66 articles.
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2. Henriques, J.F., Caseiro, R., Martins, P., Batista, J.: High-speed tracking with kernelized correlation filters. IEEE Trans. Pattern Anal. Mach. Intell. 37(3), 583–596 (2014)
3. Li, Y., Huang, J., Li, Y., Wang, S., Yang, M.: Proceeding IEEE Conference on Computer Vision and Pattern Recognition (2016)
4. Butt, A.A., Collins, R.T.: Multi-target tracking by lagrangian relaxation to min-cost network flow. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2013)
5. Berclaz, J., Fleuret, F., Turetken, E., Fua, P.: Multiple object tracking using k-shortest paths optimization. IEEE Trans. Pattern Anal. Mach. Intell. 33(9), 1806–1819 (2011). https://doi.org/10.1109/TPAMI.2011.21
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