Cluster trees of improved trajectories for action recognition-Reference-Cited by-同舟云学术

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Cluster trees of improved trajectories for action recognition

Published:2016-01 Issue: Volume:173 Page:364-372
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Chen Quan-Qi,Zhang Yu-Jin

Funder

National Nature Science Foundation

Specialized Research Fund for the Doctoral Program of Higher Education

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference39 articles.

1. I. Laptev, M. Marszalek, C. Schmid, B. Rozenfeld, Learning realistic human actions from movies, in: IEEE Conference on Computer Vision and Pattern Recognition, 2008, pp. 1–8.

2. M. Marszalek, I. Laptev, C. Schmid, Actions in context, in: IEEE Conference on Computer Vision and Pattern Recognition, 2009, pp. 2929–2936.

3. J.C. Niebles, C.-W. Chen, L. Fei-Fei, Modeling temporal structure of decomposable motion segments for activity classification, in: European Conference on Computer Vision, 2010, pp. 392–405.

4. H. Kuehne, H. Jhuang, E. Garrote, T. Poggio, T. Serre, Hmdb: a large video database for human motion recognition, in: IEEE International Conference on Computer Vision, 2011, pp. 2556–2563.

5. Recognizing 50 human action categories of web videos;Reddy;Mach. Vis. Appl.,2013

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