NDLI: Robust Action Recognition Based on a Hierarchical Model

Content Provider	IEEE Xplore Digital Library
Author	Xinbo Jiang Fan Zhong Qunsheng Peng Xueying Qin
Copyright Year	2013
Description	Author affiliation: Sch. of Compute Sci. & Technol., Shandong Univ., Jinan, China (Xinbo Jiang; Fan Zhong; Xueying Qin) \|\| State Key Lab. of CAD&CG, Zhejiang Univ., Hangzhou, China (Qunsheng Peng)
Abstract	With the strong demand for human machine interaction, action recognition has attracted more and more attention in recent years. Traditional video-based approaches are very sensitive to background activity, and also lack the ability to discriminate complex 3D motion. With the emergence and development of commercial depth cameras, action recognition based on 3D skeleton joints is becoming more and more popular. However, a skeleton-based approach is still very challenging because of the large variation in human actions and temporal dynamics. In this paper, we propose a hierarchical model for action recognition. To handle confusing motions in a large feature space, a motion-based grouping method is first proposed, which can efficiently assign each video a group label, and then for each group, a pre-trained classifier is used for frame-labeling. Unlike previous methods, we adopt a bottom-up approach that first performs action recognition for each frame. The final action label is obtained by fusing the classification to its frames, with the effect of each frame being adaptively adjusted based on its local properties. The proposed method is evaluated using two challenge datasets captured by a Kinect. Experiments show that our method can perform more robustly than state-of-the-art approaches.
Starting Page	191
Ending Page	198
File Size	695133
Page Count	8
File Format	PDF
e-ISBN	9781479922468
DOI	10.1109/CW.2013.37
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-10-21
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Joints Feature extraction Vectors Trajectory Motion segmentation Three-dimensional displays feature weighting robust action recognition hierarchical model bottom-up approach
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
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
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