Author:
Kuplyakov D. A.,Shalnov E. V.,Konushin V. S.,Konushin A. S.
Reference17 articles.
1. Fillipov, I.V. et al., Counting people in a video sequence based on detecting the head of each person, Program. Producty Sist., 2015, no. 1, pp. 121–126.
2. Bewley, A., Ge, Z., Ott, L., Ramos, F., and Upcroft, B., Simple online and realtime tracking, Comput. Vision Pattern Recognit., 2016. arXiv:1602.00763 [cs.CV]
3. Fengwei, Y., Wenbo, L., Quanquan, L., Yu, L., Xiaohua, S., and Junjie, Y., Poi: Multiple object tracking with high performance detection and appearance feature, European Conference on Computer Vision, Springer, 2016, pp. 36–42.
4. Wojke, N., Bewley, A., and Paulus, D., Simple Online and realtime tracking with a deep association metric, Comput. Vision Pattern Recognit., 2017. arXiv:1703. 07402 [cs.CV]
5. Shu, G. et al. Part-based multiple-person tracking with partial occlusion handling, IEEE Conference on Computer Vision and Pattern Recognition, 2012, pp. 1815–1821.
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