Please use this identifier to cite or link to this item:

Title: Alignment of velocity fields for video surveillance
Authors: Marques, Jorge S.
Barão, Miguel
Lemos, João M.
Issue Date: May-2012
Publisher: Elsevier
Citation: J. S. Marques, M. Barão, J. M. Lemos, "Alignment of velocity fields for video surveillance", Pattern Recognition Letters, no. 33, pp. 1632–1637, 2012.
Abstract: Velocity fields play an important role in surveillance since they describe typical motion behaviors of video objects (e.g., pedestrians) in the scene. This paper presents an algorithm for the alignment of velocity fields acquired by different cameras, at different time intervals, from different viewpoints. Velocity fields are aligned using a warping function which maps corresponding points and vectors in both fields. The warping parameters are estimated by minimizing a non-linear least squares energy. Experimental tests show that the proposed model is able to compensate significant misalignments, including translation, rotation and scaling.
Type: article
Appears in Collections:INF - Artigos em Livros de Actas/Proceedings

Files in This Item:

File Description SizeFormat
marques_barao_lemos2012alignment.pdf1.43 MBAdobe PDFView/Open
FacebookTwitterDeliciousLinkedInDiggGoogle BookmarksMySpaceOrkut
Formato BibTex mendeley Endnote Logotipo do DeGóis 

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.


Dspace Dspace
DSpace Software, version 1.6.2 Copyright © 2002-2008 MIT and Hewlett-Packard - Feedback
UEvora B-On Curriculum DeGois