EigenTracking: Robust Matching and Tracking of Articulated Objects Using a View-Based Representation

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EigenTracking: Robust Matching and Tracking of Articulated Objects Using a View-Based Representation (1998)

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by Michael J. Black , Allan D. Jepson

Venue:	International Journal of Computer Vision
Citations:	654 - 16 self

BibTeX

@INPROCEEDINGS{Black98eigentracking:robust,
    author = {Michael J. Black and Allan D. Jepson},
    title = {EigenTracking: Robust Matching and Tracking of Articulated Objects Using a View-Based Representation},
    booktitle = {International Journal of Computer Vision},
    year = {1998},
    pages = {329--342}
}

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Abstract

This paper describes an approach for tracking rigid and articulated objects using a view-based representation. The approach builds on and extends work on eigenspace representations, robust estimation techniques, and parameterized optical flow estimation. First, we note that the least-squares image reconstruction of standard eigenspace techniques has a number of problems and we reformulate the reconstruction problem as one of robust estimation. Second we define a "subspace constancy assumption" that allows us to exploit techniques for parameterized optical flow estimation to solve for both the view of an object and the affine transformation between the eigenspace and the image. To account for large affine transformations between the eigenspace and the image we define a multi-scale eigenspace representation and a coarse-to-fine matching strategy. Finally, we use these techniques to track objects over long image sequences in which the objects simultaneously undergo both affine image motions and changes of view. In particular we use this "EigenTracking" technique to track and recognize the gestures of a moving hand.

Keyphrases

articulated object view-based representation robust matching parameterized optical flow estimation standard eigenspace technique reconstruction problem long image sequence robust estimation technique subspace constancy assumption large affine transformation least-squares image reconstruction eigenspace representation affine transformation multi-scale eigenspace representation affine image motion coarse-to-fine matching strategy robust estimation eigentracking technique

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