Person Identification Using Pose-Based Hough Forests from Skeletal Action Sequence-Reference-Cited by-同舟云学术

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Person Identification Using Pose-Based Hough Forests from Skeletal Action Sequence

Published:2018 Issue:3 Volume:E101.D Page:767-777
ISSN:0916-8532
Container-title:IEICE Transactions on Information and Systems
language:en
Short-container-title:IEICE Trans. Inf. & Syst.

Author:

CHANG Ju Yong¹,PARK Ji Young²

Affiliation:

1. Department of Electronics and Communications Engineering, Kwangwoon University

2. Electronics and Telecommunications Research Institute

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Artificial Intelligence,Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Hardware and Architecture,Software

Link

https://www.jstage.jst.go.jp/article/transinf/E101.D/3/E101.D_2017EDP7215/_pdf

Reference27 articles.

1. [1] S. Sivapalan, D. Chen, S. Denman, S. Sridharan, and C. Fookes, “Gait energy volumes and frontal gait recognition using depth images,” International Joint Conference on Biometrics, pp.1-6, 2011. 10.1109/ijcb.2011.6117504

2. [2] M. Hofmann, S. Bachmann, and G. Rigoll, “2.5d gait biometrics using the depth gradient histogram energy image,” IEEE Fifth International Conference on Biometrics: Theory, Applications and Systems (BTAS), pp.399-403, 2012. 10.1109/btas.2012.6374606

3. [3] B.C. Munsell, A. Temlyakov, C. Qu, and S. Wang, “Person identification using full-body motion and anthropometric biometrics from kinect videos,” Proc. European Conf. Computer Vision Workshops (ECCVW), pp.91-100, 2012. 10.1007/978-3-642-33885-4_10

4. [4] J. Wu, J. Konrad, and P. Ishwar, “Dynamic time warping for gesture-based user identification and authentication with kinect,” IEEE International Conference on Acoustics, Speech and Signal Processing, pp.2371-2375, 2013. 10.1109/icassp.2013.6638079

5. [5] E. Hayashi, M. Maas, and J.I. Hong, “Wave to me: User identification using body lengths and natural gestures,” Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp.3453-3462, 2014. 10.1145/2556288.2557043

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