Probability-Based Dynamic Time Warping for Gesture Recognition on RGB-D Data-Reference-Cited by-同舟云学术

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Probability-Based Dynamic Time Warping for Gesture Recognition on RGB-D Data

Published:2013 Issue: Volume: Page:126-135
ISSN:0302-9743
Container-title:Advances in Depth Image Analysis and Applications
language:
Short-container-title:

Author:

Bautista Miguel Ángel,Hernández-Vela Antonio,Ponce Victor,Perez-Sala Xavier,Baró Xavier,Pujol Oriol,Angulo Cecilio,Escalera Sergio

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-40303-3_14

Reference11 articles.

1. Mikolajczyk, K., Tuytelaars, T., Schmid, C., Zisserman, A., Matas, J., Schaffalitzky, F., Kadir, T., Van Gool, L.: A comparison of affine region detectors. International Journal of Computer Vision 65(1/2), 43–72 (2005)

2. ChaLearn Gesture Dataset (CGD 2011), ChaLearn, California, Copyright (c) ChaLearn - 2011 (2011)

3. Sakoe, H., Chiba, S.: Dynamic programming algorithm optimization for spoken word recognition. IEEE Transactions on Acoustics, Speech and Signal Processing 26(1), 43–49 (1978)

4. Reyes, M., Dominguez, G., Escalera, S.: Feature weighting in dynamic time warping for gesture recognition in depth data. In: 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops), pp. 1182–1188 (2011)

5. Zhou, F., la Torre, F.D., Hodgins, J.K.: Hierarchical aligned cluster analysis for temporal clustering of human motion. IEEE Transaction on Pattern Analysis and Machine Intelligence 35(3), 582–596 (2010)

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