Parallelizing Convolutional Neural Networks for Action Event Recognition in Surveillance Videos-Reference-Cited by-同舟云学术

Parallelizing Convolutional Neural Networks for Action Event Recognition in Surveillance Videos

Published:2016-08-06 Issue:4 Volume:45 Page:734-759
ISSN:0885-7458
Container-title:International Journal of Parallel Programming
language:en
Short-container-title:Int J Parallel Prog

Author:

Wang Qicong,Zhao Jinhao,Gong Dingxi,Shen Yehu,Li Maozhen,Lei Yunqi

Funder

NSFC

the scholarship from China Scholarship Council

the XMU-NU Joint Strategic Partnership Fund

Publisher

Springer Science and Business Media LLC

Subject

Information Systems,Theoretical Computer Science,Software

Link

http://link.springer.com/article/10.1007/s10766-016-0451-4/fulltext.html

Reference31 articles.

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2. Turaga, P., Chellappa, R., Subrahmanian, V., Udrea, O.: Machine recognition of human activities: a survey. IEEE Trans. Circuits Syst. Video Technol. 18(11), 1473–1488 (2008)

3. Weinland, D., Ronfard, R., Boyer, E.: Free viewpoint action recognition using motion history volumes. Comput. Vis. Image Underst. 104(2–3), 249–257 (2006)

4. Weinland, D., Boyer, E., Ronfard, R.: Action recognition from arbitrary views using 3D exemplars. In: Proceedings of IEEE International Conference on Computer Vision (2007)

5. Atmosukarto, I., Ahuja, N., Ghanem, B.: Action recognition using discriminative structured trajectory groups. In: Proceedings of IEEE Winter Conference on Applications of Computer Vision, pp. 899–906 (2015)

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