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Multiview Layer Fusion Model for Action Recognition Using RGBD Images
Joint Authors
Suvonvorn, N.
Chalearnnetkul, Pongsagorn
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-22, 22 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-06-20
Country of Publication
Egypt
No. of Pages
22
Main Subjects
Abstract EN
Vision-based action recognition encounters different challenges in practice, including recognition of the subject from any viewpoint, processing of data in real time, and offering privacy in a real-world setting.
Even recognizing profile-based human actions, a subset of vision-based action recognition, is a considerable challenge in computer vision which forms the basis for an understanding of complex actions, activities, and behaviors, especially in healthcare applications and video surveillance systems.
Accordingly, we introduce a novel method to construct a layer feature model for a profile-based solution that allows the fusion of features for multiview depth images.
This model enables recognition from several viewpoints with low complexity at a real-time running speed of 63 fps for four profile-based actions: standing/walking, sitting, stooping, and lying.
The experiment using the Northwestern-UCLA 3D dataset resulted in an average precision of 86.40%.
With the i3DPost dataset, the experiment achieved an average precision of 93.00%.
With the PSU multiview profile-based action dataset, a new dataset for multiple viewpoints which provides profile-based action RGBD images built by our group, we achieved an average precision of 99.31%.
American Psychological Association (APA)
Chalearnnetkul, Pongsagorn& Suvonvorn, N.. 2018. Multiview Layer Fusion Model for Action Recognition Using RGBD Images. Computational Intelligence and Neuroscience،Vol. 2018, no. 2018, pp.1-22.
https://search.emarefa.net/detail/BIM-1130848
Modern Language Association (MLA)
Chalearnnetkul, Pongsagorn& Suvonvorn, N.. Multiview Layer Fusion Model for Action Recognition Using RGBD Images. Computational Intelligence and Neuroscience No. 2018 (2018), pp.1-22.
https://search.emarefa.net/detail/BIM-1130848
American Medical Association (AMA)
Chalearnnetkul, Pongsagorn& Suvonvorn, N.. Multiview Layer Fusion Model for Action Recognition Using RGBD Images. Computational Intelligence and Neuroscience. 2018. Vol. 2018, no. 2018, pp.1-22.
https://search.emarefa.net/detail/BIM-1130848
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1130848