The perception of visual motion coherence and transparency: a statistical model

Abstract

Proposes a statistical model for the perception of motion transparency and coherence which is given by a two stage process for the extraction of the optical flow and the velocity histogram. In the first stage, a sequence of images is divided into regions; in each region, an optical flow or a normal component of the optical flow is computed. In the second stage, in each of the regions mentioned above, a local velocity histogram is computed and the local histogram is summarised into a global histogram. As for experiment, the authors describe the perception of motion coherence and transparency for synthetic images, such as line patterns and filled regions. They then extend the model for real scenes and apply it to the analysis of the motion of pedestrians. >