Motion-based object detection using 3D wave digital filters

This paper is focused on the separation of three-dimensional signals due to different velocity or directional components, more precisely detecting moving objects in visual scenes by means of linear multidimensional filters. While soundness of results obtained by similar systems developed in the past has been convincing, interest in those systems declined to the reduced computational power of contemporary computers. Recent advances in computation speed as well as design and implementation of integrated circuits and hardware architectures allow hardware realization of the above mentioned velocity filters for real-time processing. We present wave digital filter (WDF) structures adapted to the detection of objects moving in a certain direction at a given speed. These filters have been successfully tested on sequences showing crossing pedestrians recorded by a vehicle-mounted camera.