The week's pick
Reseach Article
An Adaptive Algorithm for Hand Segmentation and Tracking for Continuous Hand Posture Recognition
| Mobile and Embedded Technology International Conference 2013 |
| Foundation of Computer Science USA |
| MECON - Number 1 |
| February 2013 |
| Authors: Madhurjya Kumar Nayak, Anjan Kumar Talukdar, Kandarpa Kumar Sarma |
| f2fa3c97-0527-4c97-b186-7dfda7ee28e3 |
Madhurjya Kumar Nayak, Anjan Kumar Talukdar, Kandarpa Kumar Sarma . An Adaptive Algorithm for Hand Segmentation and Tracking for Continuous Hand Posture Recognition. Mobile and Embedded Technology International Conference 2013. MECON, 1 (February 2013), 49-53.
Abstract
This work reports the design of a continuous hand posture recognition system. Hand tracking and segmentation are the primary steps for any hand gesture recognition system. The aim of this paper is to report a robust and efficient hand segmentation algorithm where a new method for hand segmentation using different colour space models with required morphological processing are utilized. Problems such as skin colour detection, complex background removal and variable lighting condition are found to be efficiently handled with this system. Noise present in the segmented image due to dynamic background can be removed with the help of this adaptive technique. The proposed approach is found to be effective for a range of conditions.
References
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