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Efficient Interaction Recognition through Positive Action Representation
Joint Authors
Hu, Tao
Zhu, Xinyan
Guo, Wei
Su, Kehua
Source
Mathematical Problems in Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-12-22
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
This paper proposes a novel approach to decompose two-person interaction into a Positive Action and a Negative Action for more efficient behavior recognition.
A Positive Action plays the decisive role in a two-person exchange.
Thus, interaction recognition can be simplified to Positive Action-based recognition, focusing on an action representation of just one person.
Recently, a new depth sensor has become widely available, the Microsoft Kinect camera, which provides RGB-D data with 3D spatial information for quantitative analysis.
However, there are few publicly accessible test datasets using this camera, to assess two-person interaction recognition approaches.
Therefore, we created a new dataset with six types of complex human interactions (i.e., named K3HI), including kicking, pointing, punching, pushing, exchanging an object, and shaking hands.
Three types of features were extracted for each Positive Action: joint, plane, and velocity features.
We used continuous Hidden Markov Models (HMMs) to evaluate the Positive Action-based interaction recognition method and the traditional two-person interaction recognition approach with our test dataset.
Experimental results showed that the proposed recognition technique is more accurate than the traditional method, shortens the sample training time, and therefore achieves comprehensive superiority.
American Psychological Association (APA)
Hu, Tao& Zhu, Xinyan& Guo, Wei& Su, Kehua. 2013. Efficient Interaction Recognition through Positive Action Representation. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-11.
https://search.emarefa.net/detail/BIM-1010768
Modern Language Association (MLA)
Hu, Tao…[et al.]. Efficient Interaction Recognition through Positive Action Representation. Mathematical Problems in Engineering No. 2013 (2013), pp.1-11.
https://search.emarefa.net/detail/BIM-1010768
American Medical Association (AMA)
Hu, Tao& Zhu, Xinyan& Guo, Wei& Su, Kehua. Efficient Interaction Recognition through Positive Action Representation. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-11.
https://search.emarefa.net/detail/BIM-1010768
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1010768