Human Activity Recognition and Location Based on Temporal Analysis
Joint Authors
Gong, Faming
Gong, Wenjuan
Ma, Yuhui
Ding, Hongjin
Yuan, Xiangbing
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-12-16
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Current methods of human activity recognition face many challenges, such as the need for multiple sensors, poor implementation, unreliable real-time performance, and lack of temporal location.
In this research, we developed a method for recognizing and locating human activities based on temporal action recognition.
For this work, we used a multilayer convolutional neural network (CNN) to extract features.
In addition, we used refined actionness grouping to generate precise region proposals.
Then, we classified the candidate regions by employing an activity classifier based on a structured segmented network and a cascade design for end-to-end training.
Compared with previous methods of action classification, the proposed method adds the time boundary and effectively improves the detection accuracy.
To test this method empirically, we conducted experiments utilizing surveillance video of an offshore oil production plant.
Three activities were recognized and located in the untrimmed long video: standing, walking, and falling.
The accuracy of the results proved the effectiveness and real-time performance of the proposed method, demonstrating that this approach has great potential for practical application.
American Psychological Association (APA)
Ding, Hongjin& Gong, Faming& Gong, Wenjuan& Yuan, Xiangbing& Ma, Yuhui. 2018. Human Activity Recognition and Location Based on Temporal Analysis. Journal of Engineering،Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1184210
Modern Language Association (MLA)
Ding, Hongjin…[et al.]. Human Activity Recognition and Location Based on Temporal Analysis. Journal of Engineering No. 2018 (2018), pp.1-11.
https://search.emarefa.net/detail/BIM-1184210
American Medical Association (AMA)
Ding, Hongjin& Gong, Faming& Gong, Wenjuan& Yuan, Xiangbing& Ma, Yuhui. Human Activity Recognition and Location Based on Temporal Analysis. Journal of Engineering. 2018. Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1184210
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1184210