Advertisement
Published in:
2010 | OriginalPaper | Chapter
A Survey of Distributed Computer Vision Algorithms
Author : Richard J. Radke
Published in: Handbook of Ambient Intelligence and Smart Environments
Publisher: Springer US
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
Over the past twenty years, the computer vision community has made great strides in the automatic solution to such problems as camera localization and visual tracking. Many algorithms have been made tractable by the rapid increases in computational speed and memory size now available to a single computer. However, the world of visual sensor networks poses several challenges to the direct application of traditional computer vision algorithms. First, visual sensor networks are assumed to contain tens to hundreds of cameras- many more than are considered in many vision applications. Second, these cameras are likely to be spread over a wide geographical area- much larger than the typical computer lab. Third, the cameras are likely to have modest local processors with no ability to communicate beyond a short range.