Motion Perception Model With Interactions Between Spatial Frequency Channels

Abstract

Several recent studies have proposed models of local motion detection for visual perception using spatiotemporal filters. However, these models are limited their motion perception capacity by the use of only one spatial frequency channel. But in the human visual system, it has been shown by various psychophysical studies that there are interactions between spatial frequency channels. In this paper, therefore, we propose one simple approach to introducing channel interactions into local motion detection models. In our method, true velocity is given as the intersection of lines representing the possible solutions on the velocity plane. Scalar motion sensors presented by Watson and Ahumada are used to get each line. Channel interactions are incorporated by plotting lines from multiple spatial frequency channels on the same velocity plane and finding their intersection. The effectiveness of these procedures was demonstrated with moving random dot patterns.