Multi-object tracking via MHT with multiple information fusion in surveillance video

Author:

Ying Long,Zhang Tianzhu,Xu Changsheng

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Information Systems,Software

Reference34 articles.

1. Hofmann, M., Rigoll, G., Huang, T.: Dense spatio-temporal motion segmentation for tracking multiple self-occluding people. In: 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), pp. 9–14 (2010)

2. Zhang, T., Liu, J., Liu, S., Ouyang, Y., Lu, H.: Boosted exemplar learning for human action recognition. In: 2009 IEEE 12th International Conference on Computer Vision Workshops (ICCV Workshops), pp. 538–545(2009)

3. Wang, C., Gorce, M., Paragios, N.: Segmentation, ordering and multi-object tracking using graphical models. In: 2009 IEEE 12th International Conference on Computer Vision (2009)

4. Xing, J., Ai, H., Lao, S.: Multi-object tracking through occlusions by local tracklets filtering and global tracklets association with detection responses. In: 2009 IEEE Conference on Computer Vision and Pattern Recognition, CVPR, pp. 1200–1207 (2009)

5. Yu, Q., Medioni, G.: Multiple-target tracking by spatio-temporal Monte Carlo Markov chain data association. TPAMI 31(12), 2196–2210 (2009)

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