By Topic

Machine learning of shooting technique for controlling a robot camera

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Makoto Okuda ; Science & Technical Research Laboratories, Japan Broadcasting Corporation, Tokyo 157-8510, Japan ; Seiki Inoue ; Mahito Fujii

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.

Published in:

Robotics and Biomimetics (ROBIO), 2009 IEEE International Conference on

Date of Conference:

19-23 Dec. 2009