液晶与显示, 2020, 35 (5): 464, 网络出版: 2020-05-30   

基于神经网络与卡尔曼滤波的手部实时追踪方法

Hand real-time tracking method based on neural network and Kalman filter
作者单位
1 平板显示技术国家地方联合工程实验室, 福州大学物理与信息工程学院, 福建 福州 350108
2 晋江市博感电子科技有限公司, 福建 晋江362200
引用该论文

曾公任, 姚剑敏, 严群, 林志贤, 郭太良, 林畅. 基于神经网络与卡尔曼滤波的手部实时追踪方法[J]. 液晶与显示, 2020, 35(5): 464.

ZENG Gong-ren, YAO Jian-min, YAN Qun, LIN Zhi-xian, GUO Tai-liang, LIN Chang. Hand real-time tracking method based on neural network and Kalman filter[J]. Chinese Journal of Liquid Crystals and Displays, 2020, 35(5): 464.

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曾公任, 姚剑敏, 严群, 林志贤, 郭太良, 林畅. 基于神经网络与卡尔曼滤波的手部实时追踪方法[J]. 液晶与显示, 2020, 35(5): 464. ZENG Gong-ren, YAO Jian-min, YAN Qun, LIN Zhi-xian, GUO Tai-liang, LIN Chang. Hand real-time tracking method based on neural network and Kalman filter[J]. Chinese Journal of Liquid Crystals and Displays, 2020, 35(5): 464.

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