Designing New Vision

With the introduction of the IMAQ Vision image processing toolset
 a couple of years ago, LabVIEW for the first time could be used for
 development of machine vision applications. But there is more: the
 huge collection of mathematical and analytical functions can be utilized
 very efficiently for the design and prototyping of high-level computer
 vision algorithms. The IMAQ image processing functions in this case
 build a foundation on top of which we build advanced object detection,
 pattern recognition, shape detection, and classification algorithms.
 
 A greater part of the computer vision research which is undertaken
 at the Institute for Digital Image Processing at JOANNEUM RESEARCH
 deals with problems related to surveillance applications. We try
 to answer questions like ‘How can pedestrians be detected and tracked
 in video streams?’. Worldwide academic research tries to find solutions
 for these problems but still is in lack of satisfying algorithms,
 especially in difficult imaging situations. Nevertheless the demand
 for smart surveillance systems is increasing – at any typical site
 (underground stations, terminals, public places) there are far too
 many cameras installed as to allow real-time observation by human
 operators.