Multiple Object Tracking Based on Temporal Local Slice Representation of Sub-regions
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-31417-9_53
Reference23 articles.
1. Michael, B.D., Fabian, R., Bastian, L., Esther, K.M., Luc, V.G.: Robust tracking-by-detection using a detector confidence particle filter. In: 2009 IEEE 12th International Conference on Computer Vision, May 2010. https://doi.org/10.1109/ICCV.2009.5459278
2. Jerome, B., Francois, F., Pascal, F.: Robust people tracking with global trajectory optimization. In: 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR’06), June 2006. https://doi.org/10.1109/CVPR.2006.258
3. Jerome, B., Francois, F., Pascal, F.: Multiple object tracking using k-shortest paths optimization. IEEE Trans. Pattern Anal. Mach. Intell. 1806–1819 (2011). https://doi.org/10.1109/TPAMI.2011.21
4. Joshua, C., Matthew, S., Goldgof, D.B., Deborah, S.B., Rangachar, K.: Understanding transit scenes: a survey on human behavior-recognition algorithms. IEEE Trans. Intell. Transport. Syst. 206–224 (2010). https://doi.org/10.1109/TITS.2009.2030963
5. Patrick, D., et al.: Mot20: a benchmark for multi object tracking in crowded scenes (2020). https://arxiv.org/abs/2003.09003
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