NDLI: Multi-feature hierarchical topic models for human behavior recognition

Content Provider	Springer Nature Link
Author	Li, HePing Zhang, Feng Zhang, ShuWu
Copyright Year	2014
Abstract	Human behavior recognition is one important task of image processing and surveillance system. One main challenge of human behavior recognition is how to effectively model behaviors on condition of unconstrained videos due to tremendous variations from camera motion, background clutter, object appearance and so on. In this paper, we propose two novel Multi-Feature Hierarchical Latent Dirichlet Allocation models for human behavior recognition by extending the bag-of-word topic models such as the Latent Dirichlet Allocation model and the Multi-Modal Latent Dirichlet Allocation model. The two proposed models with three hierarchies including low-level visual features, feature topics, and behavior topics can effectively fuse two different types of features including motion and static visual features, avoid detecting or tracking the motion objects, and improve the recognition performance even if the features are extracted with a great amount of noise. Finally, we adopt the variational EM algorithm to learn the parameters of these models. Experiments on the YouTube dataset demonstrate the effectiveness of our proposed models.
Starting Page	1
Ending Page	15
Page Count	15
File Format	PDF
ISSN	1674733X
Journal	Science in China Series : Information Sciences
Volume Number	57
Issue Number	9
e-ISSN	18691919
Language	English
Publisher	Science China Press
Publisher Date	2014-03-07
Publisher Place	Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	hierarchical Bayesian model behavior analysis human behavior recognition latent Dirichlet allocation, multi-feature hierarchical topic model Information Systems and Communication Service
Content Type	Text
Resource Type	Article
Subject	Computer Science

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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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