Learning universal multiview dictionary for human action recognition-Reference-Cited by-同舟云学术

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Learning universal multiview dictionary for human action recognition

Published:2017-04 Issue: Volume:64 Page:236-244
ISSN:0031-3203
Container-title:Pattern Recognition
language:en
Short-container-title:Pattern Recognition

Author:

Yao Tingting,Wang Zhiyong,Xie Zhao,Gao Jun,Feng David Dagan

Funder

Australian Research Council (ARC)

National Natural Science Foundation of China

China Scholarship Council

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference52 articles.

1. A survey of vision-based methods for action representation, segmentation and recognition;Weinland;Comput. Vis. Image Underst.,2011

2. T. Hassner, A critical review of action recognition benchmarks, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2013, pp. 245–250.

3. Emergence of simple-cell receptive field properties by learning a sparse code for natural images;Olshausen;Nature,1996

4. Q. Zhang, B. Li, Discriminative K-SVD for dictionary learning in face recognition, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2010, pp. 2691–2698.

5. Z. Jiang, Z. Lin, L.S. Davis, Learning a discriminative dictionary for sparse coding via label consistent k-svd, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2011, pp. 1697–1704.

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