NDLI: Cardboard people: a parameterized model of articulated image motion

Content Provider	IEEE Xplore Digital Library
Author	Ju, S.X. Black, M.J. Yacoob, Y.
Copyright Year	1996
Description	Author affiliation: Dept. of Comput. Sci., Toronto Univ., Ont., Canada (Ju, S.X.)
Abstract	We extend the work of Black and Yacoob (1995) on the tracking and recognition of human facial expressions using parametrized models of optical flow to deal with the articulated motion of human limbs. We define a "card-board person model" in which a person's limbs are represented by a set of connected planar patches. The parametrized image motion of these patches in constrained to enforce articulated motion and is solved for directly using a robust estimation technique. The recovered motion parameters provide a rich and concise description of the activity that can be used for recognition. We propose a method for performing view-based recognition of human activities from the optical flow parameters that extends previous methods to cope with the cyclical nature of human motion. We illustrate the method with examples of tracking human legs of long image sequences.
Starting Page	38
Ending Page	44
File Size	809280
Page Count	7
File Format	PDF
ISBN	0818677139
DOI	10.1109/AFGR.1996.557241
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1996-01-14
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Biological system modeling Tracking Brightness Motion estimation Humans Equations Image recognition Image motion analysis Active contours Shape
Content Type	Text
Resource Type	Article

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