Automatic and Efficient Human Pose Estimation for Sign Language Videos-Reference-Cited by-同舟云学术

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Automatic and Efficient Human Pose Estimation for Sign Language Videos

Published:2013-11-22 Issue:1 Volume:110 Page:70-90
ISSN:0920-5691
Container-title:International Journal of Computer Vision
language:en
Short-container-title:Int J Comput Vis

Author:

Charles James,Pfister Tomas,Everingham Mark,Zisserman Andrew

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Software

Link

http://link.springer.com/content/pdf/10.1007/s11263-013-0672-6.pdf

Reference76 articles.

1. Amit, Y., & Geman, D. (1997). Shape quantization and recognition with randomized trees. Neural Computation, 9(7), 1545–1588.

2. Andriluka, M., Roth, S., & Schiele, B. (2012). Discriminative appearance models for pictorial structures. International Journal of Computer Vision, 99(3), 259–280.

3. Apostoloff, N. E., & Zisserman, A. (2007). Who are you?—real-time person identification. In Proceedings of the British machine vision conference.

4. Benfold, B., & Reid, I. (2008). Colour invariant head pose classification in low resolution video. In Proceedings of the British machine vision conference.

5. Bosch, A., Zisserman, A., & Munoz, X. (2007). Image classification using random forests and ferns. In Proceedings of the international conference on computer vision.

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