Title

A differential geometric approach to representing the human actions

Authors

Authors

A. Yilmaz;M. Shah

Comments

Authors: contact us about adding a copy of your work at STARS@ucf.edu

Abbreviated Journal Title

Comput. Vis. Image Underst.

Keywords

human actions; differential geometry; epipolar geometry; action; representation; action recognition; MOTION; RECOGNITION; PERCEPTION; MODELS; Computer Science, Artificial Intelligence; Engineering, Electrical &; Electronic

Abstract

This paper presents a novel representation for human actions which encodes the variations in the shape and motion of the performing actor. When an actor performs an action, at each time instant, the outer object boundary is projected to the image plane as a 2D contour. A sequence of such contours forms a 3D volume in the spatiotemporal space. The differential geometric analysis of the volume surface results in a set of action descriptors. These descriptors constitute the action sketch which is used to represent the human actions. The action sketch captures the changes in the shape and motion of the performing actor in an unified manner. Since the action sketch is obtained from the extrema of the differential geometric surface features, it is robust to viewpoint changes. We demonstrate the versatility of the action sketch in the context of action recognition, which is formulated as a view geometric similarity problem. (c) 2007 Elsevier Inc. All rights reserved.

Journal Title

Computer Vision and Image Understanding

Volume

109

Issue/Number

3

Publication Date

1-1-2008

Document Type

Article

Language

English

First Page

335

Last Page

351

WOS Identifier

WOS:000253449800006

ISSN

1077-3142

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