Velocity measurement by a vision sensor

Vision sensors are of increasing interest for nonintrusive, remote measurements in industrial as well as consumer products. Their operation is based on intelligent techniques for image understanding, followed by robust quantification of the detected phenomenon. A well-known application area is movement detection and isolation. This paper discusses how movement can be detected and quantified by means of a single Cellular Neural Network, implemented as a Network-on-Chip and realized on a Field-Programmable Gate-Array. The final prototype can isolate a moving object and measure its velocity at a speed of 250 frames per second.