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DAGM
2005
Springer

Probabilistic Color Optical Flow

13 years 9 months ago
Probabilistic Color Optical Flow
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 singleframe grayscale methods.
Volker Willert, Julian Eggert, Sebastian Clever, E
Added 26 Jun 2010
Updated 26 Jun 2010
Type Conference
Year 2005
Where DAGM
Authors Volker Willert, Julian Eggert, Sebastian Clever, Edgar Körner
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