Document Type
Article
Publication Date
1-25-2013
Department
College of Computing
Abstract
With the wide applications of vision based intelligent systems, image and video analysis technologies have attracted the attention of researchers in the computer vision field. In image and video analysis, human activity recognition is an important research direction. By interpreting and understanding human activity, we can recognize and predict the occurrence of crimes and help the police or other agencies react immediately. In the past, a large number of papers have been published on human activity recognition in video and image sequences. In this paper, we provide a comprehensive survey of the recent development of the techniques, including methods, systems, and quantitative evaluation towards the performance of human activity recognition
Publication Title
Sensors
Recommended Citation
Xu, X.,
Tang, J.,
Zhang, X.,
Liu, X.,
Zhang, H.,
&
Qiu, Y.
(2013).
Exploring techniques for vision based human activity recognition: Methods, systems, and evaluation.
Sensors,
13(2), 1635-1650.
http://doi.org/10.3390/s130201635
Retrieved from: https://digitalcommons.mtu.edu/michigantech-p/1989
Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 License.
Version
Publisher's PDF
Publisher's Statement
© 2013 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/). Publisher’s version of record: https://doi.org/10.3390/s130201635