Cited By
View all- Asteriadis SDaras P(2017)Landmark-based multimodal human action recognitionMultimedia Tools and Applications10.1007/s11042-016-3945-676:3(4505-4521)Online publication date: 1-Feb-2017
Skeleton-based human action recognition using basis vectors
Article No.: 49, Pages 1 - 4
Abstract
Automatic human action recognition is a research topic that has attracted significant attention lately, mainly due to the advancements in sensing technologies and the improvements in computational systems' power. However, complexity in human movements, input devices' noise and person-specific pattern variability impose a series of challenges that still remain to be overcome. In the proposed work, a novel human action recognition method using Microsoft Kinect depth sensing technology is presented for handling the above mentioned issues. Each action is represented as a basis vector and spectral analysis is performed on an affinity matrix of new action feature vectors. Using simple kernel regressors for computing the affinity matrix, complexity is reduced and robust low-dimensional representations are achieved. The proposed scheme loosens action detection accuracy demands, while it can be extended for accommodating multiple modalities, in a dynamic fashion.
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Index Terms
- Skeleton-based human action recognition using basis vectors
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Information & Contributors
Information
Published In
July 2015
526 pages
ISBN:9781450334525
DOI:10.1145/2769493
- Conference Chair:
- Fillia Makedon,
- Program Chairs:
- Gian-Luca Mariottini,
- Oliver Korn,
- Illias Maglogiannis,
- Vangelis Metsis
Copyright © 2015 ACM.
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Sponsors
- NSF: National Science Foundation
- University of Texas at Austin: University of Texas at Austin
- Univ. of Piraeus: University of Piraeus
- NCRS: Demokritos National Center for Scientific Research
- Ionian: Ionian University, GREECE
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 01 July 2015
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Author Tags
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- Short-paper
Funding Sources
- University of Maastricht and the EU Horizon 2020 Framework Programme
Conference
PETRA '15
Sponsor:
- NSF
- University of Texas at Austin
- Univ. of Piraeus
- NCRS
- Ionian
PETRA '15: 8th PErvasive Technologies Related to Assistive Environments
July 1 - 3, 2015
Corfu, Greece
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View all- Asteriadis SDaras P(2017)Landmark-based multimodal human action recognitionMultimedia Tools and Applications10.1007/s11042-016-3945-676:3(4505-4521)Online publication date: 1-Feb-2017
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