Realization of a new anti-aliasing method for linear filter based object detection in video scenes

This paper presents a new hardware-efficient method of eliminating aliasing artifacts in time direction occurring in filter results of velocity or directional filters applied to image sequences recorded by a camera. Aim is to deliver reliable input data for object detection in a driver assistance system, for example. Applications designed for mass products like these demand low production costs and therefore cheap sensors and hardware. Thus, resolution as well as frame rate of the captured image sequences are often limited and therefore Shannon's sampling theorem is not always satisfied. For the case that aliasing only occurs in the pass band, a method to remove unwanted aliasing components from the filter result without any additional filter hardware is proposed and demonstrated by means of examples.