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Jain, Yogendra Kumar
- Motion Estimation and Tracking of Hand Using Harris-Laplace Feature Based Approach
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Authors
Affiliations
1 Department of Electronics and Communication, SATI, Vidisha, M.P, IN
2 Department of Computer Science and Engineering, Samrat Ashok Technological Institute (Engineering College), Vidisha, M. P., IN
1 Department of Electronics and Communication, SATI, Vidisha, M.P, IN
2 Department of Computer Science and Engineering, Samrat Ashok Technological Institute (Engineering College), Vidisha, M. P., IN
Source
Biometrics and Bioinformatics, Vol 9, No 8 (2017), Pagination: 157-163Abstract
Hand is now being accepted as most promising, natural and simple modality in real time applications. There are many natural factors, like shape and speed and environmental factor, like view-point, scale etc. which effect deeply in efficiency of Dynamic Hand Gesture Recognition System. The current–state of art is still faces many challenges in finding efficient tracking mechanism. This paper aims to present a novel approach of using Harris- Laplace to visually locate and track hand in each frame. The paper emphasizes that detection of ‘corners’ as interest points show high performance and less computation, in case of Hand recognition. The results are also compared with other local features like, SIFT and SURF techniques and found that in case of dynamic hand tracking ‘Harris –Laplace’ detection shows better performance.
Keywords
Dynamic Hand Gesture Recognition, Feature Descriptors, SIFT, SURF, Harris-Laplace.
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