Induced motion at texture–defined motion boundaries

Visual processing of motion boundaries

Psychometric functions for motion detection were measured for various spatial velocity profiles made of independently moving lines of random dots. In the first experiment, sensitivity was greater for square-wave velocity profiles than for sine waves of the same fundamental spatial frequency. Sensitivity for square waves depended on the phase of the waveform with respect to the fixation point, w...

Boundaries, Motion and Automatic Search at The University of Iowa

Shot Boundary Detection Approaches: • UIowa05SB01 – by frame histogram similarity • UIowa05SB02 – by frame pixel distance similarity • UIowa05SB03 – by frame histogram * distance (product) • UIowa05SB04 – by frame HSB similarity • UIowa05SB05 – by frame pixel distance & HSB • UIowa05SB06 – by frame product & HSB Failure to remove error induced in last year’s results makes any conclusions proble...

Determining Motion Boundaries From Image Boundaries Using Deep Descriptor Matching

Detecting Spatiotemporal Structure Boundaries: Beyond Motion Discontinuities

The detection of motion boundaries has been and remains a longstanding challenge in computer vision. In this paper, the recovery of motion boundaries is recast in a broader scope, as focus is placed on the more general problem of detecting spacetime structure boundaries, where motion boundaries constitute a special case. This recasting allows uniform consideration of boundaries between a wider ...

Bayesian Inference of Visual Motion Boundaries

This chapter addresses an open problem in visual motion analysis, the estimation of image motion in the vicinity of occlusion boundaries. With a Bayesian formulation, local image motion is explained in terms of multiple, competing, nonlinear models, including models for smooth (translational) motion and for motion boundaries. The generative model for motion boundaries explicitly encodes the ori...