Application of Pseudo 2-D Hidden Markov Model for Hand Gesture Recognition-Reference-Cited by-同舟云学术

Application of Pseudo 2-D Hidden Markov Model for Hand Gesture Recognition

Published:2016-12-01 Issue: Volume: Page:179-188
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
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Author:

Martin Sagayam K.,Jude Hemanth D.

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-10-2471-9_18

Reference15 articles.

1. Zhou Ren, Junsong Yuan, Member, IEEE, Jingjing Meng, Member, IEEE, and Zhengyou Zhang, Robust Part-Based Hand Gesture Recognition Using Kinect Sensor, IEEE Trans. Multimedia, vol. 15, no. 5, August 2013.

2. Juan Wachs, Helman Stern, Yael Edan, Parameter Search For an Image Processing Fuzzy C - Means Hand Gesture Recognition System, IEEE transaction on Image Processing, pp. 341–344, 2003.

3. Chih-Ming Fu et.al, Hand gesture recognition using a real-time tracking method and hidden Markov models, Science Direct – Image and Vision Computing, vol. 21, Issue 8, pp. 745–758, 1 August 2003.

4. C. Li, P. Zhai, S. Zheng, B. Prabhakaran, Segmentation and recognition of multi-attribute motion sequences, in: Proceedings of the ACM Multimedia Conference, pp. 836–843, 2004.

5. F.Bashir, A.Khokhar, D.Schonfeld, Object trajectory-based activity classification and recognition using hidden Markov models, IEEE Trans. Image Processing 16(7), pp. 1912–1919, 2007.

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