Machine learning of shooting technique for controlling a robot camera

We propose a machine learning method of a TV cameraman's 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 cameraman's 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.