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Maqueda Nieto, Ana Isabel and Blanco Adán, Carlos Roberto del and Jaureguizar Núñez, Fernando and García Santos, Narciso (2016). Temporal pyramid Matching of local binary sub-patterns for hand-gesture recognition. "IEEE Signal Processing Letters", v. 23 (n. 8); pp. 1037-1041. ISSN 1070-9908. https://doi.org/10.1109/LSP.2016.2579664.
Title: | Temporal pyramid Matching of local binary sub-patterns for hand-gesture recognition |
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Author/s: |
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Item Type: | Article |
Título de Revista/Publicación: | IEEE Signal Processing Letters |
Date: | August 2016 |
ISSN: | 1070-9908 |
Volume: | 23 |
Subjects: | |
Freetext Keywords: | Color cameras, hand-gesture recognition, spatiotemporal descriptors, support vector machine (SVM) classifier, vision based |
Faculty: | E.T.S.I. Telecomunicación (UPM) |
Department: | Señales, Sistemas y Radiocomunicaciones |
Creative Commons Licenses: | Recognition - No derivative works - Non commercial |
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Human–computer Interaction systems based on hand-gesture recognition are nowadays of great interest to establish a natural communication between humans and machines. However, the visual recognition of gestures and other human poses remains a challenging problem. In this paper, the original volumetric spatiograms of local binary patterns descriptor has been extended to efficiently and robustly encode the spatial and temporal information of hand gestures. This enhancement mitigates the dimensionality problems of the previous approach, and considers more temporal information to achieve a higher recognition rate. Excellent results have been obtained, outperforming other existing approaches of the state of the art.
Type | Code | Acronym | Leader | Title |
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Government of Spain | TEC2013-48453 | MR-UHDTV | Unspecified | Unspecified |
Item ID: | 46332 |
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DC Identifier: | https://oa.upm.es/46332/ |
OAI Identifier: | oai:oa.upm.es:46332 |
DOI: | 10.1109/LSP.2016.2579664 |
Official URL: | http://ieeexplore.ieee.org/document/7489031/ |
Deposited by: | Memoria Investigacion |
Deposited on: | 21 Jun 2017 16:30 |
Last Modified: | 22 Mar 2019 17:19 |