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Real-time dynamic gesture recognition and hand servo tracking using PTZ camera

机译：使用PTZ摄像机进行实时动态手势识别和手伺服跟踪

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摘要

A technology of real-time dynamic gesture recognition and hand tracking using a Pan-Tilt-Zoom (PTZ) camera was presented in this study. It was aimed to achieve robust scheme that stably recognized simple hand gestures and tracked the hand by means of a PTZ camera to keep the fingertip remaining in the center of the camera. For this purpose, the hand region was initially segmented in a cluttered environment using skin color segmentation in YCbCr color space to get the silhouette of the hand. Furthermore, the Monte Carlo Sampling method was used to estimate the Cubic Bezier curves best fitted to the sub contour points centralized in each contour point, and the fingertips were detected by combining the local maximums of a cumulative curvature with detection of convex defects. After that, feature triangle analysis was utilized to achieve dynamic recognition of simple gestures including "right click down" and "right click up". Finally, the PTZ camera was driven by the algorithm to achieve servo tracking with the target fingertip when the gesture "right click down" was detected. As is shown by the experimental results, the proposed approach recognized the dynamic gestures and located the fingertips' positions precisely, and realized the follow-up servo tracking using PTZ camera in real-time.
机译：在这项研究中提出了一种实时动态手势识别和使用Pan-Tilt-Zoom（PTZ）相机进行手跟踪的技术。目的是实现一种稳定的方案，该方案可稳定地识别简单的手势并通过PTZ摄像机跟踪手，以使指尖保持在摄像机中心。为此，首先在杂乱的环境中使用YCbCr颜色空间中的肤色分割对手区域进行分割，以获取手部轮廓。此外，使用蒙特卡洛采样方法来估计最适合集中在每个轮廓点处的子轮廓点的三次贝塞尔曲线，并通过将累积曲率的局部最大值与凸缺陷的检测相结合来检测指尖。之后，利用特征三角形分析来实现对简单手势的动态识别，包括“右键单击”和“右键单击”。最后，通过算法驱动PTZ摄像机，以在检测到“右键单击”手势时用目标指尖实现伺服跟踪。实验结果表明，该方法能够识别动态手势并精确定位指尖位置，并利用PTZ摄像头实时跟踪伺服跟踪。

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