A computational model for the detection of object motion by moving observer using self-motion signals

摘要

Generally, image motion is induced all over the retina when an observer moves around. In spite of this, we can immediately detect objects moving in our surroundings. In this paper, a computational model is proposed to explain such detection using self-motion signals, First, we analyze the general characteristics of retinal image motion caused by both object motion and observer motion. Then a computational model is constructed in which true object motion is detected using signals of self-motion and depth values under the supposition that the surroundings are always stationary. It is suggested that the nervous system uses similar mechanisms. (C) 2000 Elsevier Science Inc. All rights reserved. [References: 48]