Motion perception model with interaction between spatial frequency channels

Abstract

AbstractNumerous studies have recently been made on the mechanism of human motion perception, especially on the model for the local motion detection using the spatio‐temporal filter. The feature of such a model is that it is not required to solve the matching problem which is inherent to the feature matching problem. Another point is that the model can account for several properties of human motion perception. However, earlier models are limited in their performance since the motion is detected using only a single spatial frequency channel. The usual scene contains a large number of spatial frequency components. To detect the motion with a high accuracy, it is desirable to integrate the information obtained from a number of channels. It is suggested by several psychological experiments that an interaction occurs between channels of the human visual system.From such a viewpoint, this paper proposes a model for local motion detection based on the model by Watson et al., integrating the information from a number of spatial frequency channels. The model determines the motion velocity from the intersection of straight lines on the velocity plane, where the straight line is calculated from the spatio‐temporal filter output, to represent the candidate for the velocity. The interaction between channels is represented by drawing the straight lines obtained from various channels on the same velocity plane. The effectiveness of the proposed method is shown by a simulation using a random dot pattern.