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.

            AUAI is supported by:



Subscribe to Robohub newsletter on substack



Related posts :

Developing active and flexible microrobots

  13 May 2026
This class of robots opens up possibilities for biomedical applications.

How to teach the same skill to different robots

  11 May 2026
A new framework to teach a skill to robots with different mechanical designs, allowing them to carry out the same task without rewriting code for each.

Robot Talk Episode 155 – Making aerial robots smarter, with Melissa Greeff

  08 May 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Melissa Greeff from Queen's University about autonomous navigation and learning for drones.

New understanding of insect flight points way to stable flapping-wing robots

  07 May 2026
The way bugs and birds flap their wings may look effortless, but the dynamics that keep them aloft are dizzyingly complex and difficult to quantify.

Robotically assembled building blocks could make construction more efficient and sustainable

  05 May 2026
Research suggests constructing a simple building from interlocking subunits should be mechanically feasible and have a much smaller carbon footprint.

Robot Talk Episode 154 – Visual navigation in insects and robots, with Andrew Philippides

  01 May 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Andrew Philippides from the University of Sussex about what we can learn from ants and bees to improve robot navigation.

Ultralightweight sonar plus AI lets tiny drones navigate like bats

  29 Apr 2026
Researchers develop ultrasound-based perception system inspired by bat echolocation.

Gradient-based planning for world models at longer horizons

  28 Apr 2026
What were the problems that motivated this project and what was the approach to address them?



AUAI is supported by:







Subscribe to Robohub newsletter on substack




 















©2026.02 - Association for the Understanding of Artificial Intelligence