[1] Konstantinova P, Udvarev A, Semerdjiev T. A study of a target tracking algithm using global nearest neighb approach[C]Proceedings of the International Conference on Computer Systems Technologies, 2003.
[2] Ekman M, Sviestins E, Sjoberg L. Particle filters f tracking closely spaced targets[C]IEEE International Conference on Infmation Fusion, 2007: 18.
[3] Koch W. Experimental results on Bayesian MHT f maneuvering closelyspaced objects in a densely cluttered environment[C] Radar 97, 1997: 729733.
[5] Swain A, Clark D. The singlegroup PHD filter: an an alytic solution[C]Infmation Fusion (FUSION), 2011 Proceedings of the 14th International Conference on. IEEE, 2011: 18.
[7] Aro A, Epstein S, Kpan R. Mengeros: A crowd simulation tool f autonomous robot navigation[C]Proc AAAI Fall Symp, 2017: 123–125.
[8] Lin T Y, Goyal P, Girshick R, et al. Focal loss f dense object detection[C]2017 IEEE International Conference on Computer Vision (ICCV), 2020.
[11] Nie F, Wang X, Jdan M, et al. The constrained laplacian rank algithm f graphbased clustering[C]AAAI Conference on Artificial Intelligence, 2016: 1969–1976.
[12] Zhou B, Tang X, Wang X. Coherent filtering: Detecting coherent motions from crowd clutters[C]European Conference on Computer Vision. Springer, Berlin, Heidelberg, 2012: 857871.
[13] Shao J, Change Loy C, Wang X. Sceneindependent group profiling in crowd[C]Proceedings of the IEEE Conference on Computer Vision Pattern Recognition, 2014: 22192226.