A New Technique for Hand Gesture Recognition
| Autor: | E. Stergiopoulou, P. Papamarkos |
|---|---|
| Rok vydání: | 2006 |
| Předmět: |
Neural gas
Artificial neural network Contextual image classification Computer science business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Pattern recognition Image segmentation Identification (information) Gesture recognition Segmentation Computer vision Artificial intelligence business |
| Zdroj: | ICIP |
| DOI: | 10.1109/icip.2006.313056 |
| Popis: | A new method for hand gesture recognition is proposed which is based on an innovative self-growing and self-organized neural gas (SGONG) network. Initially, the region of the hand is detected by using a color segmentation technique that depends on a skin-color distribution map. Then, the SGONG network is applied on the segmented hand so as to approach its topology. Based on the output grid of neurons, palm geometric characteristics are obtained which in accordance with powerful finger features allow the identification of the raised fingers. Finally, the hand gesture recognition is accomplished through a probability-based classification method. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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