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基于OpenCV的鼻尖特征点鼠标实时控制系统实现

吴博 王彬 翁政魁 熊新 刘辉

计算机应用与软件2018,Vol.35Issue(2):212-217,6.
计算机应用与软件2018,Vol.35Issue(2):212-217,6.DOI:10.3969/j.issn.1000-386x.2018.02.039

基于OpenCV的鼻尖特征点鼠标实时控制系统实现

IMPLEMENTATION OF NOSE TIP FEATURE MOUSE REAL-TIME CONTROL SYSTEM BASED ON OPENCV

吴博 1王彬 1翁政魁 1熊新 2刘辉1

作者信息

  • 1. 昆明理工大学信息工程与自动化学院 云南昆明650500
  • 2. 上海大学通信与信息工程学院 上海 200072
  • 折叠

摘要

Abstract

Aiming at the problem that the current visual mouse control system based on gaze tracking or eye features had poor adaptability to environment and conditions in practical applications, a real-time facial feature tracking method using nose tip as the local feature point of human face was proposed.This method used a modified Viola-Jones framework with a prediction mechanism to predict the position of the next feature point using Kalman filter between frames, which obviously improved the feature point tracking efficiency.Then the mouse pointer control system was achieved by using the VS2012 and OpenCV based on the method.Experimental results showed that the tracking speed of the mouse control system was increased by 40% compared with the traditional method.At the same time, the real-time tracking performance of the mouse control system was fast,stable and smooth, and had good environmental adaptability and ro-bustness.

关键词

鼻尖跟踪/鼠标控制系统/特征点跟踪/OpenCV

Key words

Tip of nose tracking/Mouse control system/Feature points tracking/OpenCV

分类

信息技术与安全科学

引用本文复制引用

吴博,王彬,翁政魁,熊新,刘辉..基于OpenCV的鼻尖特征点鼠标实时控制系统实现[J].计算机应用与软件,2018,35(2):212-217,6.

基金项目

国家自然科学基金项目(61263017). (61263017)

计算机应用与软件

OA北大核心CSTPCD

1000-386X

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