Machine Learning of Shooting Technique for Controlling a Robot Camera

摘要：

We propose a machine learning method of a TV cameramans shooting technique with a neural network so that a robot camera can automatically shoot like an experienced cameraman. An experiment using a simulator that we developed shows that, by using our method, the cameramans shooting technique can be quickly and easily embodied in the control system of the robot camera. Moreover, we derive guidelines for performing machine learning for shooting actual TV programs by analyzing the relationship of the learning data and the learning parameter with the performance of the learned neural network.

作者: Makoto Okuda Seiki Inoue Mahito Fujii

作者单位: Science & Technical Research Laboratories,Japan Broadcasting Corporation,Tokyo 157-8510,Japan

会议类型: 国际会议

会议名称: 2009 IEEE International Conference on Robotics and Biomimetics(2009 IEEE 机器人与仿生技术国际会议 ROBIO 2009)

会议地点: 桂林

会议语种:英文

页码: 1111-1116

在线出版日期: 2009-12-19（万方平台首次上网日期，不代表论文的发表时间）