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Title: | A hybrid method using haar-like and skin-color algorithm for hand posture detection, recognition and tracking |
Other Titles: | /8/4 |
Authors: | Bilal, S. Akmeliawati, Rini Salami, Momoh-Jimoh E. Shafie, Amir A. Bouhabba, El Mehdi |
Keywords: | Skin Fingers Image color analysis Feature extraction Pixel Face Kalman filters |
Issue Date: | 4-Aug-2010 |
Publisher: | IEEE |
Citation: | Bilal, S., Akmeliawati, R., El Salami, M. J., Shafie, A. A., & Bouhabba, E. M. (2010, August). A hybrid method using haar-like and skin-color algorithm for hand posture detection, recognition and tracking. In 2010 IEEE International Conference on Mechatronics and Automation (pp. 934-939). IEEE. |
Abstract: | Human hand posture detection and recognition is a challenging problem in computer vision. We introduce an algorithm that is capable to recognize hand posture in a sophisticated background. The system combines two algorithms to achieve better detection rate for hand. Recently Viola et al. in have introduced a rapid object detection scheme; we use this approach to detect the hand posture in the first set of consecutive frames. The chromatic color distribution of skin can be found within this cluster. As the shape of hand posture keep changing in the subsequent frames, the skin regions updated dynamically. The classification of hand posture makes use of static feature for locating and counting hand fingers. Kalman Filter is used to track the face and hand blobs based on their position. In the experiments, we have tested our system in various environments, and results showed effectiveness of the approach. |
URI: | 10.1109/ICMA.2010.5588576 http://repository.elizadeuniversity.edu.ng/jspui/handle/20.500.12398/594 |
Appears in Collections: | Research Articles |
Files in This Item:
File | Description | Size | Format | |
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A hybrid method using haar-like and skin-color algorithm for hand posture detection, recognition and tracking.pdf | Abstract | 265.19 kB | Adobe PDF | View/Open |
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