Motion detection algorithms have been widely deployed in the field of surveillance where they have been used to analyze traffic flow and movement of people in video image frames.
One of the common means used to determine and analyze the so-called optical flow of objects in such videos is to use a block matching algorithm. In use, the algorithm divides image frames into blocks, and then matches the block of pixels in one frame to a block of pixels in a consecutive frame.
While there are obviously many applications for the software in the surveillance field, engineers at Stemmer Imaging (Puchheim, Germany) also believe that such an optical flow algorithm could be usefully employed in an industrial vision system.
According to Peter Keppler, Stemmer Imaging's Sales Manager, such an algorithm could be deployed, for example, to enable the flow of products such as bottles on a production line to be analyzed.
As such, the company plans to launch its own optical flow algorithm for the first time at the upcoming Vision 2012 show in Stuttgart in November. According to Keppler, the algorithm will be rolled out as part of the company's Common Vision Blox (CVB) software.