In order to have a perfect computer vision system, it is important that it should emulate something which is already prefect - the human visual system. In this paper we discuss the relevancy of the study of the psychological and physiological aspects of human vision to computer vision research. Motion perception is an important aspect of vision. We make an approach here, to configure a system that can perceive world knowledge from moving scenes. This is based on the principle that moving scenes generate optical flow and getting the depth cues from optical flow gives three dimensional information of the scene. We derive depth information from passive ranging techniques. Potential applications are in autonomous vehicle navigation, coordinated motions between vehicles for passive ranging to moving targets and in industrial robotics.
Frank Y. Shih,
"Depth Cues From Optical Flow", Proc. SPIE 1192, Intelligent Robots and Computer Vision VIII: Algorithms and Techniques, (1 March 1990); doi: 10.1117/12.969790; https://doi.org/10.1117/12.969790