26 February 2010 Hybrid method for hand segmentation
Author Affiliations +
Proceedings Volume 7546, Second International Conference on Digital Image Processing; 75461D (2010) https://doi.org/10.1117/12.856290
Event: Second International Conference on Digital Image Processing, 2010, Singapore, Singapore
Abstract
This paper presents a novel hybrid method for hand segmentation in color imagery. In order to overwhelm such complex details of the color image, the system combines artificial intelligence techniques to achieve automatic hand segmentation. These techniques include self-organizing map, backpropagation artificial neural network, genetic algorithm, convex and deformable template techniques. The proposed system can detect hands without using any initial conditions and can also perform in different light conditions. Moreover, the system can detect hands in different sizes and orientations. This work utilizes convex and deformable template techniques together which allow the system to detect hands at the maximum accuracy of 98 percent.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Chompoo Suppatoomsin, "Hybrid method for hand segmentation", Proc. SPIE 7546, Second International Conference on Digital Image Processing, 75461D (26 February 2010); doi: 10.1117/12.856290; https://doi.org/10.1117/12.856290
PROCEEDINGS
6 PAGES


SHARE
RELATED CONTENT

Top-down visual search in Wimmelbild
Proceedings of SPIE (March 14 2013)
Gabor filter subset selection using a genetic algorithm
Proceedings of SPIE (October 18 2002)
Hybrid system architecture for reasoning in noisy domains
Proceedings of SPIE (September 16 1992)
Searching for contours
Proceedings of SPIE (March 13 1996)
Object recognition in a digital image
Proceedings of SPIE (July 30 2002)

Back to Top