东北大学学报:自然科学版 ›› 2018, Vol. 39 ›› Issue (7): 937-941.DOI: 10.12068/j.issn.1005-3026.2018.07.006

• 信息与控制 • 上一篇    下一篇

一种新的基于轮廓特征的指尖及手指指向检测方法

代沅兴, 于天彪, 杨建宇, 王宛山   

  1. (东北大学 机械工程与自动化学院, 辽宁 沈阳110819)
  • 收稿日期:2017-03-06 修回日期:2017-03-06 出版日期:2018-07-15 发布日期:2018-07-11
  • 通讯作者: 代沅兴
  • 作者简介:代沅兴(1984-),男,吉林长春人,东北大学博士研究生; 于天彪(1968-),男,吉林长春人,东北大学教授,博士生导师; 王宛山(1946-),男,辽宁沈阳人,东北大学教授,博士生导师.冯明杰(1971-), 男, 河南禹州人, 东北大学副教授; 王恩刚(1962-), 男, 辽宁沈阳人, 东北大学教授,博士生导师.
  • 基金资助:
    国家自然科学基金资助项目(N51505072); 工信部重大专项(201675514); 沈阳市重点实验室资助项目(15153100).国家自然科学基金资助项目(51171041).

An Innovative Method for Fingertip and Finger Pointing Detection Based on Contour Features

DAI Yuan-xing, YU Tian-biao, YANG Jian-yu, WANG Wan-shan   

  1. School of Mechanical Engineering & Automation, Northeastern University, Shenyang 110819, China.
  • Received:2017-03-06 Revised:2017-03-06 Online:2018-07-15 Published:2018-07-11
  • Contact: YU Tian-biao
  • About author:-
  • Supported by:
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摘要: 传统基于K-Curvature以及凸包理论的指尖识别算法往往存在严重漏检问题.针对此问题,提出一种新的基于手指轮廓特征的指尖及手指指向检测方法,关键步骤包括轮廓平滑、直线区域检测、手指指向及指尖定位三部分,可实现精确快速的指尖识别过程.通过对不同姿态手势进行实验验证,所提算法能在准确定位指尖位置的同时,得到手指指向信息.满足人机交互系统对指尖点及手指指向获取的实时性要求,并对不同手指指向具有较强的自适应性.

关键词: 指尖检测, 手指方向, 手势识别, 人机交互, 轮廓平滑

Abstract: K-Curvature and convex hull theory based finger detecting algorithm always suffering inaccurate fingertip capture. A new fingertip and finger pointing detection method was proposed which was based on finger contour features. There were three key steps in the method: contour smoothing, linear region detection, and fingers pointing and tips detection. Accurate and fast fingertip recognition processing could be realized. The proposed algorithm runs fast and accurately in fingertip recognition process. Through the experimental verification of different gestures, the fingertips position could be accurately located and the fingers pointing information could be obtained by the proposed algorithm. It can also meet the real-time requirements in this type of human-computer interaction system, and has strong adaptability to different finger direction.

Key words: fingertip detection, finger direction, gesture recognition, human-computer interaction, contour smoothing

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