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A unified model of short-range and long-range motion perception
Shuang Wu · Xuming He · HongJing Lu · Alan Yuille

Mon Dec 06 12:00 AM -- 12:00 AM (PST) @

The human vision system is able to effortlessly perceive both short-range and long-range motion patterns in complex dynamic scenes. Previous work has assumed that two different mechanisms are involved in processing these two types of motion. In this paper, we propose a hierarchical model as a unified framework for modeling both short-range and long-range motion perception. Our model consists of two key components: a data likelihood that proposes multiple motion hypotheses using nonlinear matching, and a hierarchical prior that imposes slowness and spatial smoothness constraints on the motion field at multiple scales. We tested our model on two types of stimuli, random dot kinematograms and multiple-aperture stimuli, both commonly used in human vision research. We demonstrate that the hierarchical model adequately accounts for human performance in psychophysical experiments.

Author Information

Shuang Wu (UCLA)
Xuming He (NICTA)
HongJing Lu (UCLA)
Alan Yuille (JHU)

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