NDLI: Recognition of aggressive human behavior based on SURF and SVM

Content Provider	IEEE Xplore Digital Library
Author	Ouanane, A. Serir, A. Djelal, N.
Copyright Year	2013
Description	Author affiliation: Lab. of Image Process. & Radiat., Univ. of Sci. & Technol. Houari Boumediene, Algiers, Algeria (Ouanane, A.; Serir, A.) \|\| Lab. of Robot., Parallelism & Electroenergetics, Univ. of Sci. & Technol. Houari Boumediene, Algiers, Algeria (Djelal, N.)
Abstract	In this paper, we aim to develop a novel decision algorithm of human behavior using both Speeded Up Robust Features (SURF) and PCA techniques. The SURF offers the opportunity to obtain a high level of performance under the constraint of scale variation with low computing coast to form spatio-temporal features. Thus, the PCA algorithm is used to reduce the dimensionality of the provided features to form robust pattern. The latter is performed as an input for training the Support Vector Machine (SVM). This machine is going to be able to classify the aggressive and nonaggressive behaviors. Different tests are conducted on KTH actions datasets. The obtained results have shown that the proposed technique provides more significant accuracy rate in comparison with current techniques as well as it drives more robustness to a dynamic environment.
Starting Page	396
Ending Page	400
File Size	635776
Page Count	5
File Format	PDF
ISBN	9781467355407
DOI	10.1109/WoSSPA.2013.6602398
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-05-12
Publisher Place	Algeria
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Support vector machines Training SURF Accuracy PCA SVM Aggressive behavior Feature extraction Robustness Classification algorithms KTH Principal component analysis
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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