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T$$^2$$CNN: a novel method for crowd counting via two-task convolutional neural network

  • Published:2021-10-18 Issue: Volume: Page:
  • ISSN:0178-2789
  • Container-title:The Visual Computer
  • language:en
  • Short-container-title:Vis Comput

Author:

Zhang LiORCID,Yan Leilei,Zhang Mengqian,Lu Jingang

Funder

Jiangsu Higher Education Institutions of China

Six Talent Peaks Project in Jiangsu Province

Publisher

Springer Science and Business Media LLC

Subject

Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition,Software

Reference38 articles.

1. Boominathan, L., Kruthiventi, S.S.S., Babu, R.V.: Crowdnet: A deep convolutional network for dense crowd counting. In: Hanjalic, A., Snoek, C., Worring, M., Bulterman, D.C.A., Huet, B., Kelliher, A., Kompatsiaris, Y., Li, J. (eds.) Proceedings of the 2016 ACM Conference on Multimedia Conference, MM 2016, Amsterdam, The Netherlands, October 15–19, 2016, pp. 640–644. ACM (2016). https://doi.org/10.1145/2964284.2967300. https://doi.org/10.1145/2964284.2967300

2. Brostow, G.J., Cipolla, R.: Unsupervised bayesian detection of independent motion in crowds. In: 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 17–22 June 2006, New York, NY, USA, pp. 594–601. IEEE Computer Society (2006). https://doi.org/10.1109/CVPR.2006.320. https://doi.org/10.1109/CVPR.2006.320

3. Chan, A.B., Liang, Z.J., Vasconcelos, N.: Privacy preserving crowd monitoring: counting people without people models or tracking. In: 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 24–26 June 2008, Anchorage, Alaska, USA. IEEE Computer Society (2008). https://doi.org/10.1109/CVPR.2008.4587569. https://doi.org/10.1109/CVPR.2008.4587569

4. Chan, A.B., Vasconcelos, N.: Bayesian Pisson regression for crowd counting. In: IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27–October 4, 2009, pp. 545–551. IEEE Computer Society (2009). https://doi.org/10.1109/ICCV.2009.5459191. https://doi.org/10.1109/ICCV.2009.5459191

5. Chen, K., Loy, C.C., Gong, S., Xiang, T.: Feature mining for localised crowd counting. In: Bowden, R., Collomosse, J.P., Mikolajczyk, K. (eds.) British Machine Vision Conference, BMVC 2012, Surrey, UK, September 3–7, 2012, pp. 1–11. BMVA Press (2012). https://doi.org/10.5244/C.26.21. https://doi.org/10.5244/C.26.21

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