Human action categorization using conditional random field

Wang, Jin, Liu, Ping, She, Mary and Liu, Honghai 2011, Human action categorization using conditional random field, in RiiSS 2011 : Proceedings of the 2011 IEEE Workshop on Robotic Intelligence in Informationally Structured Space, IEEE, [Paris, France], pp. 1-5.

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Title Human action categorization using conditional random field
Author(s) Wang, Jin
Liu, Ping
She, Mary
Liu, Honghai
Conference name IEEE Workshop on Robotic Intelligence in Informationally Structured Space (2011 : Paris, France)
Conference location Paris, France
Conference dates 11-15 Apr. 2011
Title of proceedings RiiSS 2011 : Proceedings of the 2011 IEEE Workshop on Robotic Intelligence in Informationally Structured Space
Editor(s) [Unknown]
Publication date 2011
Conference series IEEE Symposium Series on Computational Intelligence
Start page 1
End page 5
Publisher IEEE
Place of publication [Paris, France]
Keyword(s) action recognition
distance transform
body contours
conditional random field
Summary Automatic human action recognition has been a challenging issue in the field of machine vision. Some high-level features such as SIFT, although with promising performance for action recognition, are computationally complex to some extent. To deal with this problem, we construct the features based on the Distance Transform of body contours, which is relatively simple and computationally efficient, to represent human action in the video. After extracting the features from videos, we adopt the Conditional Random Field for modeling the temporal action sequences. The proposed method is tested with an available standard dataset. We also testify the robustness of our method on various realistic conditions, such as body occlusion or intersection.
ISBN 9781424498840
9781424498857
Language eng
Field of Research 080109 Pattern Recognition and Data Mining
Socio Economic Objective 890201 Application Software Packages (excl. Computer Games)
HERDC Research category E2 Full written paper - non-refereed / Abstract reviewed
Copyright notice ©2011, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30042250

Document type: Conference Paper
Collection: Centre for Material and Fibre Innovation
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