Method for characterizing shape, appearance and motion of an...

Details Method for characterizing shape, appearance and motion of an... Method for characterizing shape, appearance and motion of an...

2006-08-23

2009-11-17

Azarian, Seyed (Department: 2624)

Image analysis

Applications

Target tracking or detecting

C382S203000, C378S020000

Reexamination Certificate

active

07620205

ABSTRACT:
A method for generating Pairwise Active Appearance Models (PAAMs) that characterize shape, appearance and motion of an object and using the PAAM to track the motion of an object is disclosed. A plurality of video streams is received. Each video stream includes a series of image frames that depict an object in motion. Each video stream includes an index of identified motion phases that are associated with a motion cycle of the object. For each video stream, a shape of the object is represented by a shape vector. An appearance of an object is represented by an appearance vector. The shape and appearance vectors associated at two consecutive motion phases are concatenated. Paired data for the concatenated shape and appearance vectors is computed. Paired data is computed for each two consecutive motion phases in the motion cycle. A shape subspace is constructed based on the computed paired data. An appearance subspace is constructed based on the computed paired data. A joint subspace is constructed using a combination of the shape subspace and appearance subspace. A PAAM is generated using the joint subspace and the PAAM is stored in a database.

REFERENCES:
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patent: 7072494 (2006-07-01), Georgescu et al.
patent: 7251893 (2007-08-01), Cohen et al.
patent: 7323210 (2008-01-01), Castro et al.
patent: 7558402 (2009-07-01), Zhou et al.

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