摘要
对仿人机器人MIR-1的双目视觉系统实现实时手势跟踪.通过颜色直方图反投影,将每帧RGB输入图像转换为二维的肤色概率分布图像,基于Camshift算法计算手势跟踪窗口的位置和大小,并用Kalman滤波预测手心位置,有效地解决了背景中大面积肤色干扰和手势部分被遮挡等问题.在仿人机器人MIR-1上完成的手势跟踪实验,验证了此方法的实用性和有效性.
Based on Camshift （Continuously Adaptive Mean Shift） algorithm and the constant-velocity Kalman filter algorithm, a real-time hand tracking system for the stereo vision system of humanoid robot MIR- 1 was presented. For each video frame, the raw image is converted to a 2-D skin color probability distribution image via the skin color histogram back-projection. Camshift algorithm is then applied to find the mode （peak） of the probability distribution, which estimates the center and size of tracking window. To deal with the hand occlusion by other objects and choose the correct skin region when multiple image regions are skin colored, a two-dimensional Kalman filter （stochastic estimator） is used to track the hand region centroid. The experimental results show that this algorithm is robust and efficient.
出处
《上海交通大学学报》
EI
CAS
CSCD
北大核心
2006年第7期1161-1165,共5页
Journal of Shanghai Jiaotong University
作者简介
彭娟春（1980-），女，湖南岳阳人，硕士生，主要研究方向为人机交互、模式识别等．
苏剑波（联系人），男，教授，博士生导师，电话（Tel．）：021-34204276；E-mail；jbsu@sjtu．edu．cn．
