IMAGE PROCESSING AND PATTERN MATCHING
Abstract - The growth of the Electronic Media, Process Automation
and especially the outstanding growth of attention to national and personal
security in the past few years have all contributed to the growing need of
being able to automatically detect features and occurrences in pictures and
video streams on a massive scale,without the need for human eye intervention
and in real time. To date, all technologies available for such automated
processing have come short of being able to supply a solution that is both
technically viable and cost-effective.
This white paper details the basic ideas behind a
novel, patent-pending technology called Image Processing over IP networks (IPoIP™). As its name implies, IPoIP
provides a solution for automatically extracting useful data from a large
number of simultaneous image (video or still) inputs connected to an IP
network, but unlike other existing methods, does so at reduced costs without
compromising reliability. The document will also outline the existing
image-processing architectures and compare them to IPoIP. Ending this document
will be a short chapter detailing several possible implementations of IPoIP in
existing applications.
Introduction
A tremendous amount of research effort has been put into
the ability to extract meaningful data out of captured images (both video and
still) in the past years. As a result, a large number of proven algorithms
exist both for real-time and offline applications, algorithms that are
implemented on platforms ranging from pure software to pure hardware. These
platforms, however, are generally designed to deal with a relatively small
number of simultaneous image inputs (in most cases actually no more than one).
They are designed in one of two main architectures: Local Processing and Server
Processing.
Local
Processing Architecture
