Human activity recognition using mixture of heterogeneous features and sequential minimal optimization-Reference-Cited by-同舟云学术

Human activity recognition using mixture of heterogeneous features and sequential minimal optimization

Published:2018-09-24 Issue:9 Volume:10 Page:2329-2340
ISSN:1868-8071
Container-title:International Journal of Machine Learning and Cybernetics
language:en
Short-container-title:Int. J. Mach. Learn. & Cyber.

Author:

Naveed Humza,Khan Gulraiz,Khan Asad Ullah,Siddiqi Aiman,Khan Muhammad Usman Ghani

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/s13042-018-0870-1.pdf

Reference47 articles.

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2. Kolekar MH, Dash DP (2016) Hidden markov model based human activity recognition using shape and optical flow based features. In: Region 10 conference (TENCON) (2016 IEEE) IEEE

3. Yang J, Cheng J, Lu H, Human activity recognition based on the blob features. In: IEEE international conference on multimedia and expo, pp 358361, 2009

4. Niebles JC, Fei-Fei L (2007) A hierarchical model of shape and appearance for human action classification. In: IEEE conference on computer vision and pattern recognition, 2007. CVPR’07. IEEE

5. Ke S-R et al (2013) A review on video-based human activity recognition. Computers 2(2):88–131

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