HUMAN ACTIVITY RECOGNITION BASED ON THE ACTIVITY CATEGORIZATION USING DEPTH DATA FOR “BIOFIED BUILDING”-Reference-Cited by-同舟云学术

HUMAN ACTIVITY RECOGNITION BASED ON THE ACTIVITY CATEGORIZATION USING DEPTH DATA FOR “BIOFIED BUILDING”

Published:2016 Issue:722 Volume:81 Page:403-410
ISSN:1348-0685
Container-title:Journal of Environmental Engineering (Transactions of AIJ)
language:en
Short-container-title:Nihon Kenchiku Gakkai Kankyokei Ronbunshu

Author:

OGAWA Ami¹,MITA Akira²

Affiliation:

1. Grad. Stud., Keio University

2. Prof., Keio University, Ph.D.

Publisher

Architectural Institute of Japan

Subject

Environmental Engineering

Link

https://www.jstage.jst.go.jp/article/aije/81/722/81_403/_pdf

Reference19 articles.

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3. 4) Khan, Z. A., Sohn, W. : Real Time Human Activity Recognition Systems based on Radon Transform, IJCA Special Issue Artificial Intelligence Techniques Novel Approaches & Practical Applications, pp. 31-37, 2011.

4. 5) Han, J., Bhanu, B. : Human Activity Recognition in Thermal Infrared Imagery, Proc. IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 17-24, 2005.

5. 6) Mojidra, H. S., Borisagar, V. H. : Acceleration and Principle Component Based Human Activity Recognition via Hidden Markov Model, International Journal of Computational Linguistics and Natural Language Processing, Vol 2, Issue 5, pp. 350-354, 2013.