Probabilistic color optical flow

Authors:
Volker Willert;Julian Eggert;Sebastian Clever;Edgar Körner
Affiliations:
Institute of Automatic Control, Control Theory and Robotics Lab, TU Darmstadt, Darmstadt;HRI Honda Research Institute GmbH, Offenbach/Main;Institute of Automatic Control, Control Theory and Robotics Lab, TU Darmstadt, Darmstadt;HRI Honda Research Institute GmbH, Offenbach/Main
Venue:
PR'05 Proceedings of the 27th DAGM conference on Pattern Recognition
Year:
2005

Citing 3
Cited 0

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Abstract

Usually, optical flow computation is based on grayscale images and the brightness conservation assumption. Recently, some authors have investigated in transferring gradient-based grayscale optical flow methods to color images. These color optical flow methods are restricted to brightness and color conservation over time. In this paper, a correlation-based color optical flow method is presented that allows for brightness and color changes within an image sequence. Further on, the correlation results are used for a probabilistic evaluation that combines the velocity information gained from single color frames to a joint velocity estimate including all color frames. The resulting color optical flow is compared to other representative multi-frame color methods and standard single-frame grayscale methods.