Motion Estimation in Varying Illumination using a Total Least Squares Distance Measure

Til Aach, Daniel Toth, Rudolf Mester


Correlation-based motion estimation algorithms usually match blocks between two frames based on distance measures like correlation, mean square difference or mean absolute difference. Such distance measures, however, also react to temporal changes in illumination, what is not desired when only motion caused by objects in the scene is sought. In this paper we therefore extend an earlier, illumination-invariant approach for binary motion detection in sequences recorded by a static camera towards illumination-invariant motion estimation. The correlation- or difference-based distance measure in standard block matching is replaced by a total-least squares (TLS)-measure which reacts mainly to scene motion. In addition, a regularizing postprocessing algorithm, which combines the TLS-measure with context information, may optionally be applied.

Original languageEnglish
Number of pages4
Publication statusPublished - 09.12.2003
EventPicture Coding Symposium 2003
- Saint Malo, France
Duration: 23.04.200325.04.2003
Conference number: 61856


ConferencePicture Coding Symposium 2003
CitySaint Malo


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