摘要
在基于视觉的手势分析中 ,手势跟踪是一个关键环节 .从实时性的角度考虑 ,提出了一种改进的CAMSHIFT(ContinuouslyAdaptiveMeanShift)算法 ,实现了对动态手势的实时跟踪 .实验表明 ,该算法快速准确可靠 ,并且较好地处理了跟踪过程中大面积肤色干扰及手势被遮挡等问题 ,对复杂场景的检测与跟踪也取得了较好的效果 .同时 ,该算法还适用于其它具有特定颜色目标的跟踪 .
Hand tracking is a key step in gesture analysis. A modified CAMSHIFT (Continuously Adaptive Mean Shift) algorithm is presented in this paper, which can track hand in real time. Experimental results show that this algorithm is fast, accurate, and robust. It can not only deal with the shelter problems without distractors, but also deal well with the track of complex background. And more, it tracks objects with special color.
出处
《山东大学学报（工学版）》
CAS
2004年第6期120-124,共5页
Journal of Shandong University（Engineering Science）
基金
山东省自然科学基金项目 (Y2 0 0 1G0 4)
