NDLI: Human action recognition with contextual constraints using a RGB-D sensor

Content Provider	IEEE Xplore Digital Library
Author	Ye Gu Weihua Sheng Yongsheng Ou Meiqin Liu Senlin Zhang
Copyright Year	2013
Description	Author affiliation: Sch. of Electr. & Comput. Eng., Oklahoma State Univ., Stillwater, OK, USA (Ye Gu; Weihua Sheng) \|\| Shenzhen Inst. of Adv. Technol., Shenzhen, China (Yongsheng Ou) \|\| Coll. of Electr. Eng., Zhejiang Univ., Hangzhou, China (Meiqin Liu; Senlin Zhang)
Abstract	Recognition of human actions using a vision based approach is a challenging task. To improve the action recognition performance, we proposed a hierarchical probabilistic model based framework which not only models the dynamics of the actions but also considers contextual constraints in terms of object/action correlation and action sequential constraints. By considering the action/object correlation, it is possible to recognize actions which are either too subtle to perceive or too hard to recognize using motion features only. On the other hand, with the action sequential constraints, the recognition accuracy can be further improved. In the proposed approach, first, the dynamics of an action is modeled using Hidden Markov Models (HMMs). Then, a Bayesian network is adopted to model the object constraints for the low-level action recognition. Finally, a high-level HMM is created to model the sequential constraints which refines the decision from the Bayesian model. Our approach was evaluated through experiments using a single RGB-D camera, which provides data of both the human gesture and manipulated objects. The experimental results show that the proposed approach can recognize human actions effectively.
Sponsorship	IEEE Robot. Autom. Soc.
Starting Page	674
Ending Page	679
File Size	1163141
Page Count	6
File Format	PDF
ISBN	9781479927449
DOI	10.1109/ROBIO.2013.6739538
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-12-12
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Hidden Markov models Bayes methods Accuracy Object recognition Robot sensing systems Probabilistic logic Dairy products
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
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8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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