DOI: 10.5176/978-981-08-7656-2ATAI2010-29
Authors: Ahmad Yahya Dawod, Junaidi Abdullah and Md. Jahangir Alam
Abstract:
We present a new technique for extraction of hand region from complex background and consequently detection of the fingertips, which we call hand features, from color images. Our construction is primarily based on an adaptive color model generation for hand segmentation followed by smoothing algorithm. We present a thinning algorithm followed by the construction of convex envelope to detect possible points for the fingertips. We demonstrate that the correct points for the fingertips can be selected heuristically through interpoints distance calculation. Finally, we show the effectiveness of the proposed method by experimenting with images of different background complexity and have achieved very promising results.
Keywords: fingertips detection, hand tracking, smoothing
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