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| HSV Brightness Factor Matching for Gesture Recognition System
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Full
text: |
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Source |
International Journal of Image Processing (IJIP) |
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Table of Contents |
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Complete Issue PDF(3.65MB) |
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Volume: 4 Issue: 5 |
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Pages: 457-517 |
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Publication
Date: December 2010 |
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ISSN
(Online): 1985-2304 |
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Pages |
457 - 467 |
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Author(s) |
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Published
Date |
20-12-2010 |
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Publisher |
CSC
Journals, Kuala Lumpur,
Malaysia |
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ADDITIONAL
INFORMATION |
| Keywords Abstract References Cited by Related Articles Collaborative
Colleague |
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KEYWORDS: Brightness Calculation, HSV color model, Gesture Recognition, Template Matching, Image Segmentation., Laplacian Edge Detection |
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| The main goal of gesture recognition research is to establish a system which can identify specific human gestures and use these identified gestures to be carried out by the machine, In this paper, we introduce a new method for gesture recognition that based on computing the local brightness for each block of the gesture image, the gesture image is divided into 25x25 blocks each of 5x5 block size, and we calculated the local brightness of each block, so, each gesture produces 25x25 features value, our experimental shows that more that %60 of these features are zero value which leads to minimum storage space, this brightness value is calculated from the HSV (Hue, Saturation and Value) color model that used for segmentation operation, the recognition rate achieved is %91 using 36 training gestures and 24 different testing gestures. This Paper focuses on the hand gesture instead of the whole body movement since hands are the most flexible part of the body and can transfer the most meaning, we build a gesture recognition system that can communicate with the machine in natural way without any mechanical devices and without using the normal input devices which are the keyboard and mouse and the mathematical equations will be the translator between the gestures and the telerobotic. |
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| Mokhtar M. Hasan : Colleagues
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| Pramod K. Mishra : Colleagues
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