A human activity recognition system using hidden markov models with generalized discriminant analysis on enhanced independent component features
Joint Authors
Uddin, Md. Zia
Kim, Deok-Hwan
Tae-Seong Kim
Source
The International Arab Journal of Information Technology
Issue
Vol. 12, Issue 3 (31 May. 2015)7 p.
Publisher
Publication Date
2015-05-31
Country of Publication
Jordan
No. of Pages
7
Main Subjects
Topics
Abstract EN
Human activity recognition from time-sequential video images is an active research area in various applications such as video surveillance and smart homes nowadays.
This paper presents a novel approach of automatic human activity recognition based on Generalized Discriminant Analysis (GDA) on Enhanced Independent Component (EIC) features from binary silhouette information to be used with Hidden Markov Model (HMM) for training and recognition.
The recognition performance using GDA on EIC features has been compared to other conventional approaches including Principle Component (PC), EIC, and Linear Discriminant Analysis (LDA) on PC features where the preliminary results show the superiority of the proposed approach
American Psychological Association (APA)
Uddin, Md. Zia& Kim, Deok-Hwan& Tae-Seong Kim. 2015. A human activity recognition system using hidden markov models with generalized discriminant analysis on enhanced independent component features. The International Arab Journal of Information Technology،Vol. 12, no. 3.
https://search.emarefa.net/detail/BIM-431084
Modern Language Association (MLA)
Uddin, Md. Zia…[et al.]. A human activity recognition system using hidden markov models with generalized discriminant analysis on enhanced independent component features. The International Arab Journal of Information Technology Vol. 12, no. 3 (May. 2015).
https://search.emarefa.net/detail/BIM-431084
American Medical Association (AMA)
Uddin, Md. Zia& Kim, Deok-Hwan& Tae-Seong Kim. A human activity recognition system using hidden markov models with generalized discriminant analysis on enhanced independent component features. The International Arab Journal of Information Technology. 2015. Vol. 12, no. 3.
https://search.emarefa.net/detail/BIM-431084
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-431084