Recognition of vision-based activities of daily living using linear predictive coding of histogram of directional derivative-Reference-Cited by-同舟云学术

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Recognition of vision-based activities of daily living using linear predictive coding of histogram of directional derivative

Published:2017-11-27 Issue:1 Volume:10 Page:199-214
ISSN:1868-5137
Container-title:Journal of Ambient Intelligence and Humanized Computing
language:en
Short-container-title:J Ambient Intell Human Comput

Author:

Bhorge Sidharth B.,Manthalkar Ramchandra R.

Publisher

Springer Science and Business Media LLC

Subject

General Computer Science

Link

http://link.springer.com/article/10.1007/s12652-017-0632-z/fulltext.html

Reference46 articles.

1. Ahmad M, Lee SW (2008) Recognizing human actions based on silhouette energy and global motion description. In: 8th IEEE interntional conference on automatic face & gesture recognition. https://doi.org/10.1109/AFGR.2008.4813435

2. Amiribesheli M, Benmansour A, Bouchachia A (2015) A review of smart homes in healthcare. J Ambient Intell Hum Comp 6(4):495–517

3. Banerjee P, Nevatia R (2011) Learning neighborhood co-occurrence statistics of sparse features for human activity recognition. In: 8th IEEE interntional conference advanced video signal based surveill, pp 212–217. https://doi.org/10.1109/AVSS.2011.6027324

4. Benesty J, Chen J, Huang Y (2008) Linear prediction. In: Springer handbook of speech processing, pp 121–134. https://doi.org/10.1109/AVSS.2011.6027324

5. Bobick A, Davis J (2001) The recognition of human movement using temporal templates. IEEE Trans Pattern Anal Mach Intell 23:257–267

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2. Action recognition using Correlation of Temporal Difference Frame (CTDF)—an algorithmic approach;Journal of Ambient Intelligence and Humanized Computing;2020-07-30

3. Skeleton-based comparison of throwing motion for handball players;Journal of Ambient Intelligence and Humanized Computing;2019-05-02

4. Multi View Human Action Recognition Using HODD;Communications in Computer and Information Science;2018

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