IEEE Trans Image Process - A semitransparency-based optical-flow method with a point trajectory model for particle-like video.

Tópicos

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Resumo

This paper proposes a new semitransparency-based optical-flow model with a point trajectory (PT) model for particle-like video. Previous optical-flow models have used ranging from image brightness constancy to image brightness change models as constraints. However, two important issues remain unsolved. The first is how to track/match a semitransparent object with a very large displacement between frames. Such moving objects with different shapes and sizes in an outdoor scene move against a complicated background. Second, due to semitransparency, the image intensity between frames can also violate a previous image brightness-based optical-flow model. Thus, we propose a two-step optimization for the optical-flow estimation model for a moving semitransparent object, i.e., particle. In the first step, a rough optical flow between particles is estimated by a new alpha constancy constraint that is based on an image generation model of semitransparency. In the second step, the optical flow of a particle with a continuous trajectory in a definite temporal interval based on a PT model can be refined. Many experiments using various falling-snow and foggy scenes with multiple moving vehicles show the significant improvement of the optical flow compared with a previous optical-flow model.

Resumo Limpo

paper propos new semitransparencybas opticalflow model point trajectori pt model particlelik video previous opticalflow model use rang imag bright constanc imag bright chang model constraint howev two import issu remain unsolv first trackmatch semitranspar object larg displac frame move object differ shape size outdoor scene move complic background second due semitranspar imag intens frame can also violat previous imag brightnessbas opticalflow model thus propos twostep optim opticalflow estim model move semitranspar object ie particl first step rough optic flow particl estim new alpha constanc constraint base imag generat model semitranspar second step optic flow particl continu trajectori definit tempor interv base pt model can refin mani experi use various fallingsnow foggi scene multipl move vehicl show signific improv optic flow compar previous opticalflow model

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