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Efficient region tracking with parametric models of geometry and illumination (1998)

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by Gregory D. Hager , Peter N. Belhumeur
Venue:PAMI
Citations:563 - 30 self
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BibTeX

@ARTICLE{Hager98efficientregion,
    author = {Gregory D. Hager and Peter N. Belhumeur},
    title = {Efficient region tracking with parametric models of geometry and illumination},
    journal = {PAMI},
    year = {1998}
}

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Abstract

Abstract—As an object moves through the field of view of a camera, the images of the object may change dramatically. This is not simply due to the translation of the object across the image plane. Rather, complications arise due to the fact that the object undergoes changes in pose relative to the viewing camera, changes in illumination relative to light sources, and may even become partially or fully occluded. In this paper, we develop an efficient, general framework for object tracking—one which addresses each of these complications. We first develop a computationally efficient method for handling the geometric distortions produced by changes in pose. We then combine geometry and illumination into an algorithm that tracks large image regions using no more computation than would be required to track with no accommodation for illumination changes. Finally, we augment these methods with techniques from robust statistics and treat occluded regions on the object as statistical outliers. Throughout, we present experimental results performed on live video sequences demonstrating the effectiveness and efficiency of our methods. Index Terms—Visual tracking, real-time vision, illumination, motion estimation, robust statistics.

Keyphrases

parametric model    efficient region    robust statistic    general framework    large image region    illumination change    real-time vision    image plane    live video sequence    illumination relative    efficient method    motion estimation    geometric distortion    object undergoes change    experimental result    light source    statistical outlier    index term visual tracking   

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