基于均值漂移与粒子滤波的手势跟踪算法研究

基于视觉的手势跟踪技术在虚拟现实、人机交互、视觉监控等领域均有着广阔的应用。本文主要研究用于人机交互的手势跟踪，以颜色特征作为目标的表征方式，并结合MeanShift均值移住提出了一种基于颜色直方图的粒子滤波跟踪方法。仿真实验结果表明，本文研究的方法效果较好，能准确的对序列图中的手势进行跟踪。

Gesture Tracking Algorithm Study Based on Mean Shift and Particle Filter

Visual-based track processes of hand gestures can be applied widely to various areas like virtual reality, human-computer interaction and visual surveillance ere.This paper studies hand tracking for the human-computer interaction.Using color feature of target,a new particle filter-based tracking algorithm using color histogram and combining mean shift is proposed.The simulation results show that,the methods proposed in this paper played good performance.