Indoor Crowd Counting by Mixture of Gaussians Label Distribution Learning
In this paper, we tackle the problem of crowd counting in indoor videos, where people often stay almost static for a long time. The label distribution, which covers a certain number of crowd counting labels, representing the degree to which each label describes the video frame, is previously adopted...
| Publié dans: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 28(2019), 11 vom: 25. Nov., Seite 5691-5701 |
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| Format: | Article en ligne |
| Langue: | English |
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2019
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| Accès à la collection: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society |
| Sujets: | Journal Article |
| Accès en ligne |
Volltext |