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1)  hand tracking
人手跟踪
1.
Research on Moving Human-Hand Tracking Based on Dynamic Visual Fingers;
基于动态可见手指的人手跟踪算法研究
2.
Presents a hand tracking and gesture recognition algorithm for human-computer interaction with two web cameras.
为实现基于手势的智能人机交互,提出了一种基于视觉的人手跟踪与手势识别算法。
3.
In order to solve natural interactive problems between human and wearable computers,a hand tracking and gesture recognition method based on wearable vision is proposed.
为了解决人与穿戴计算机的自然交互问题,提出了一种基于穿戴视觉的人手跟踪与手势识别方法。
2)  articulated hand tracking
关节人手跟踪
3)  human hand tracking
运动人手跟踪
4)  3D hand tracking
三维人手跟踪
5)  Hand tracking
手势跟踪
1.
Video hand tracking algorithm based on hybrid CamShift and Kalman filter
基于CamShift和Kalman滤波混合的视频手势跟踪算法
2.
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.
对仿人机器人MIR-1的双目视觉系统实现实时手势跟踪。
3.
This paper proposed an adaptive color-based shaped model,and implemented the real-time hand tracking using this model.
提出了一种基于颜色的自适应形状模型,并利用该模型实现了图像序列中的实时手势跟踪。
6)  hand-operation
手扶跟踪
1.
Based on hand-operation and scanned images,some factors affecting the clinometric accuracy of map digitizing were discussed,and a way to raising the digitizing accuracy was suggested.
从人工手扶跟踪数字化和地图扫描数字化两个方面 ,讨论了影响地形图数字化平面精度的诸种因素 ,并提出了提高精度的解决方法 ,从而保证了数字化地形图的质量能够满足建立 GIS的要
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