Robohub.org
 

Multi-viewpoint robotic camera system creates real ‘bullet time’ slow motion replays


by
04 June 2013



share this:
13-0045-r

This multi-viewpoint robotic camera system, under development by NHK, links the motion of eight sub-cameras to that of an individual camera, so that all the cameras film the same moving object.

“Using this system, you can create the effect of stopping time, and moving the viewpoint all around the subject.”

“Previous methods used a fixed camera, so they could only capture subjects moving in a narrow or limited space. But this multi-viewpoint robot camera system can film dynamically moving sports, or subjects at lots of locations in an extensive space.”

Each robot camera has two motors, for pan and tilt. The cameras also share lens data, so they can zoom in unison.

“Pictures taken with robot cameras inevitably have discrepancies in direction control. So simply switching between them doesn’t give smooth pictures. To solve that problem, we’ve brought in a computer, which redoes the direction control virtually. Image processing is done, to virtually orient the cameras in the direction of the subject, making it possible to switch between the cameras.”

“Pictures from this system can be sent out about one minute after filming is finished. First of all, we intend to use this for live sports broadcasting. We’d like to make it easy to understand what’s happening, by providing multi-viewpoint pictures instead of the current slow-motion replay.”

This multi-viewpoint robotic camera system can also be used as an image capture system for integral 3D TV, under development by NHK. By generating integral 3D video from multiple-viewpoint footage, 3D video of sports events will be viewable on integral 3D TV.



tags:


DigInfo TV is a Tokyo-based online video news platform dedicated to producing original coverage of cutting edge technology, research and products from Japan.
DigInfo TV is a Tokyo-based online video news platform dedicated to producing original coverage of cutting edge technology, research and products from Japan.





Related posts :



Robot Talk Episode 103 – Keenan Wyrobek

  20 Dec 2024
In the latest episode of the Robot Talk podcast, Claire chatted to Keenan Wyrobek from Zipline about drones for delivering life-saving medicine to remote locations.

Robot Talk Episode 102 – Isabella Fiorello

  13 Dec 2024
In the latest episode of the Robot Talk podcast, Claire chatted to Isabella Fiorello from the University of Freiburg about bioinspired living materials for soft robotics.

Robot Talk Episode 101 – Christos Bergeles

  06 Dec 2024
In the latest episode of the Robot Talk podcast, Claire chatted to Christos Bergeles from King's College London about micro-surgical robots to deliver therapies deep inside the body.

Robot Talk Episode 100 – Mini Rai

  29 Nov 2024
In the latest episode of the Robot Talk podcast, Claire chatted to Mini Rai from Orbit Rise about orbital and planetary robots.

Robot Talk Episode 99 – Joe Wolfel

  22 Nov 2024
In the latest episode of the Robot Talk podcast, Claire chatted to Joe Wolfel from Terradepth about autonomous submersible robots for collecting ocean data.

Robot Talk Episode 98 – Gabriella Pizzuto

  15 Nov 2024
In the latest episode of the Robot Talk podcast, Claire chatted to Gabriella Pizzuto from the University of Liverpool about intelligent robotic manipulators for laboratory automation.

Online hands-on science communication training – sign up here!

  13 Nov 2024
Find out how to communicate about your work with experts from Robohub, AIhub, and IEEE Spectrum.

Robot Talk Episode 97 – Pratap Tokekar

  08 Nov 2024
In the latest episode of the Robot Talk podcast, Claire chatted to Pratap Tokekar from the University of Maryland about how teams of robots with different capabilities can work together.





Robohub is supported by:




Would you like to learn how to tell impactful stories about your robot or AI system?


scicomm
training the next generation of science communicators in robotics & AI


©2024 - Association for the Understanding of Artificial Intelligence


 












©2021 - ROBOTS Association