Action Recognition by Joint Spatial-Temporal Motion Feature
Joint Authors
Gao, Chaobang
Zhang, Yi
Zhou, Jiliu
Zhang, Weihua
Source
Journal of Applied Mathematics
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-06-04
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
This paper introduces a method for human action recognition based on optical flow motion features extraction.
Automatic spatial and temporal alignments are combined together in order to encourage the temporal consistence on each action by an enhanced dynamic time warping (DTW) algorithm.
At the same time, a fast method based on coarse-to-fine DTW constraint to improve computational performance without reducing accuracy is induced.
The main contributions of this study include (1) a joint spatial-temporal multiresolution optical flow computation method which can keep encoding more informative motion information than recent proposed methods, (2) an enhanced DTW method to improve temporal consistence of motion in action recognition, and (3) coarse-to-fine DTW constraint on motion features pyramids to speed up recognition performance.
Using this method, high recognition accuracy is achieved on different action databases like Weizmann database and KTH database.
American Psychological Association (APA)
Zhang, Weihua& Zhang, Yi& Gao, Chaobang& Zhou, Jiliu. 2013. Action Recognition by Joint Spatial-Temporal Motion Feature. Journal of Applied Mathematics،Vol. 2013, no. 2013, pp.1-9.
https://search.emarefa.net/detail/BIM-484487
Modern Language Association (MLA)
Zhang, Weihua…[et al.]. Action Recognition by Joint Spatial-Temporal Motion Feature. Journal of Applied Mathematics No. 2013 (2013), pp.1-9.
https://search.emarefa.net/detail/BIM-484487
American Medical Association (AMA)
Zhang, Weihua& Zhang, Yi& Gao, Chaobang& Zhou, Jiliu. Action Recognition by Joint Spatial-Temporal Motion Feature. Journal of Applied Mathematics. 2013. Vol. 2013, no. 2013, pp.1-9.
https://search.emarefa.net/detail/BIM-484487
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-484487