'Dynamism of a Dog on a Leash' or Behavior Classification by Eigen-Decomposition of Periodic Motions

Authors:
Roman Goldenberg;Ron Kimmel;Ehud Rivlin;Michael Rudzsky
Affiliations:
-;-;-;-
Venue:
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part I
Year:
2002

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Abstract

Following Futurism, we show how periodic motions can be represented by a small number of eigen-shapes that capture the whole dynamic mechanism of periodic motions. Spectral decomposition of a silhouette of an object in motion serves as a basis for behavior classification by principle component analysis. The boundary contour of the walking dog, for example, is first computed efficiently and accurately. After normalization, the implicit representation of a sequence of silhouette contours given by their corresponding binary images, is used for generating eigen-shapes for the given motion. Singular value decomposition produces these eigen-shapes that are then used to analyze the sequence. We show examples of object as well as behavior classification based on the eigen-decomposition of the binary silhouette sequence.