2002 | OriginalPaper | Chapter
‘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
Published in: Computer Vision — ECCV 2002
Publisher: Springer Berlin Heidelberg
Included in: Professional Book Archive
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
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.