Title

Matching actions in presence of camera motion

Authors

Authors

A. Yimaz;M. Shah

Comments

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Abbreviated Journal Title

Comput. Vis. Image Underst.

Keywords

action recognition; epipolar geometry; video; action retrieval; moving; camera; COMPUTER VISION; HUMAN MOVEMENT; RECOGNITION; MATRICES; Computer Science, Artificial Intelligence; Engineering, Electrical &; Electronic

Abstract

When the camera viewing an action is moving, the motion observed in the video not only contains the motion of the actor but also the motion of the camera. At each time instant, in addition to the camera motion, a different view of the action is observed. In this paper, we propose a novel method to perform action recognition in presence of camera motion. Proposed method is based on the epipolar geometry between any two views. However, instead of relating two static views using the standard fundamental matrix, we model the motions of independently moving cameras in the equations governing the epipolar geometry and derive a new relation which is referred to as the "temporal fundamental matrix." Using the temporal fundamental matrix, a matching score between two actions is computed by evaluating the quality of the recovered geometry. We demonstrate the versatility of the proposed approach for action recognition in a number of challenging sequences. (c) 2006 Elsevier Inc. All rights reserved.

Journal Title

Computer Vision and Image Understanding

Volume

104

Issue/Number

2-3

Publication Date

1-1-2006

Document Type

Article

Language

English

First Page

221

Last Page

231

WOS Identifier

WOS:000241689800009

ISSN

1077-3142

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