摘要
基于人手的人机交互由于其便利性,是未来人机交互技术发展的重要方向之一。基于Kinect硬件,提出了一种自适应的混合型手部分割方法,结合基于深度图像的阈值分割方法和基于彩色图像的肤色分割方法,对人体图像进行手部分割。该混合型手部分割方法,能够较好地克服光线以及复杂背景所带来的消极影响,也能够更好地适应复杂的人体动作,达到更好的分割效果。最终,搭建了硬件实测平台,验证该算法的有效性。
Due to the convenience of human-computer interaction based on human hand,it is an important direction of human-computer interaction technology in the future.Based on Kinect hardware.An adaptive hybrid hand segmentation method is proposed,which combines threshold segmentation method for depth image and skin segmentation method for color image.The hybrid hand segmentation method can get a better performance against the negative effects caused by light and complex background,and can better adapt to complex human motions and achieve better segmentation effects.Finally,the effectiveness of the algorithm is verified by a hardware platform.
作者
陈鑫
刘振国
张颖
CHEN Xin;LIU Zhenguo;ZHANG Ying(College of Electronic and Information Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing Jiangsu 210016,China)
出处
《电子器件》
CAS
北大核心
2021年第4期965-968,共4页
Chinese Journal of Electron Devices
基金
模拟集成电路重点实验室基金项目(61428020304)
国家自然科学基金项目(61106029,61701228)
航空科学基金(20180852005)。
关键词
手势识别
手部分割
人机交互
KINECT
计算机视觉
gesture recognition
hand segmentation
human-computer interaction
Kinect
computer vision
