›› 2012, Vol. 25 ›› Issue (2): 71-.

• Articles • Previous Articles     Next Articles

Gesture Recognition Based on Multi-Objective Camshift

 TANG Wen-Peng, HU Qing-Long   

  1. (Institute of Electronic CAD,Xidian University,Xi'an 710071,China)
  • Online:2012-02-15 Published:2012-02-29


The gesture recognition technology based on monocular vision is usually constituted by the key technologies of gesture modeling,gesture segmentation,feature extraction and gesture matching.The most popular gesture tracking algorithms based on monocular vision are the particle filtering algorithm and Camshift algorithm.This system converts the hand images from RGB space to HSV space,segments the hands using templates predefined color value,makes some improvements and realizes multi-objective target tracking.Because Camshift algorithm is semi-automatic,the gesture must be calibrated manually before being tracked.The system combines the gesture tracking and gesture recognition technology,improves the Camshift algorithm,solves the problem of being semi-automatic,and realizes multi-objective target tracking and finally realizes the gesture recognition of both hands.

Key words: gesture recognition;hand tracking;camshift;multi-objective

CLC Number: 

  • TN27