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Proceedings Paper

Optical flow based finger stroke detection
Author(s): Zhongdi Zhu; Bin Li; Kongqiao Wang
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Paper Abstract

Finger stroke detection is an important topic in hand based Human Computer Interaction (HCI) system. Few research studies have carried out effective solutions to this problem. In this paper, we present a novel approach for stroke detection based on mono vision. Via analyzing the optical flow field within the finger area, our method is able to detect finger stroke under various camera position and visual angles. We present a thorough evaluation for each component of the algorithm, and show its efficiency and effectiveness on solving difficult stroke detection problems.

Paper Details

Date Published: 4 August 2010
PDF: 9 pages
Proc. SPIE 7744, Visual Communications and Image Processing 2010, 77442V (4 August 2010); doi: 10.1117/12.863514
Show Author Affiliations
Zhongdi Zhu, Univ. of Science and Technology of China (China)
Bin Li, Univ. of Science and Technology of China (China)
Kongqiao Wang, Nokia Research Ctr. (China)

Published in SPIE Proceedings Vol. 7744:
Visual Communications and Image Processing 2010
Pascal Frossard; Houqiang Li; Feng Wu; Bernd Girod; Shipeng Li; Guo Wei, Editor(s)

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