DocumentCode :
1691961
Title :
Real-time hand shape recognition by orientation invariant data learning for smart TV
Author :
Jae-Joon Han ; Changkyu Choi ; ByungIn Yoo ; Dusik Park ; ChangYeong Kim
Author_Institution :
Adv. Media Lab., Samsung Electron., Yongin, South Korea
fYear :
2013
Firstpage :
552
Lastpage :
553
Abstract :
The paper proposes a novel recognition system for hand shapes at a distance for smart TV. Two types of hand shapes are selected for the needs of TV browsing. The proposed method provides robust recognition performance on various hand orientations and guarantees real-time computation.
Keywords :
digital television; image segmentation; interactive television; learning (artificial intelligence); object recognition; shape recognition; TV browsing; hand orientation; hand shape selection; orientation invariant data learning; real-time hand shape recognition; recognition performance; smart TV; Feature extraction; Image recognition; Image segmentation; Robustness; Shape; TV; Three-dimensional displays;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Consumer Electronics (ICCE), 2013 IEEE International Conference on
Conference_Location :
Las Vegas, NV
ISSN :
2158-3994
Print_ISBN :
978-1-4673-1361-2
Type :
conf
DOI :
10.1109/ICCE.2013.6487015
Filename :
6487015
Link To Document :
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