Optical flow based finger stroke detection

Zhongdi Zhu; Bin Li; Kongqiao Wang

doi:10.1117/12.863514

4 August 2010 Optical flow based finger stroke detection

Zhongdi Zhu, Bin Li, Kongqiao Wang

Proceedings Volume 7744, Visual Communications and Image Processing 2010; 77442V (2010) https://doi.org/10.1117/12.863514
Event: Visual Communications and Image Processing 2010, 2010, Huangshan, China

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.

Citation Download Citation

Zhongdi Zhu, Bin Li, and Kongqiao Wang "Optical flow based finger stroke detection", Proc. SPIE 7744, Visual Communications and Image Processing 2010, 77442V (4 August 2010); https://doi.org/10.1117/12.863514

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