Object level grouping for video shots
<p>We describe a method for automatically associating image patches from frames of a movie shot into object-level groups. The method employs both the appearance and motion of the patches.</p> <p>There are two areas of innovation: first, affine invariant regions are used to repair s...
| المؤلفون الرئيسيون: | , , |
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| التنسيق: | Conference item |
| اللغة: | English |
| منشور في: |
Springer
2004
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| الملخص: | <p>We describe a method for automatically associating image patches from frames of a movie shot into object-level groups. The method employs both the appearance and motion of the patches.</p>
<p>There are two areas of innovation: first, affine invariant regions are used to repair short gaps in individual tracks and also to join sets of tracks across occlusions (where many tracks are lost simultaneously); second, a robust affine factorization method is developed which is able to cope with motion degeneracy. This factorization is used to associate tracks into object-level groups.</p>
<p>The outcome is that separate parts of an object that are never visible simultaneously in a single frame are associated together. For example, the front and back of a car, or the front and side of a face. In turn this enables object-level matching and recognition throughout a video.</p>
<p>We illustrate the method for a number of shots from the feature film ‘Groundhog Day’.</p> |
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