University of Surrey

Test tubes in the lab Research in the ATI Dance Research

Tracking objects across cameras by incrementally learning inter-camera colour calibration and patterns of activity

Gilbert, A and Bowden, R (2006) Tracking objects across cameras by incrementally learning inter-camera colour calibration and patterns of activity In: ECCV 2006, 2006-05-07 - 2006-05-13, Graz, Austria.

[img]
Preview
PDF
GilbertBowdenECCV06.pdf - Accepted Version
Available under License : See the attached licence file.

Download (497kB)
[img]
Preview
PDF (licence)
SRI_deposit_agreement.pdf

Download (33kB)

Abstract

This paper presents a scalable solution to the problem of tracking objects across spatially separated, uncalibrated, non-overlapping cameras. Unlike other approaches this technique uses an incremental learning method, to model both the colour variations and posterior probability distributions of spatio-temporal links between cameras. These operate in parallel and are then used with an appearance model of the object to track across spatially separated cameras. The approach requires no pre-calibration or batch preprocessing, is completely unsupervised, and becomes more accurate over time as evidence is accumulated.

Item Type: Conference or Workshop Item (Paper)
Additional Information: The original publication is available at: http://www.springerlink.com
Uncontrolled Keywords: VISUAL SURVEILLANCE
Divisions: Faculty of Engineering and Physical Sciences > Electronic Engineering > Centre for Vision Speech and Signal Processing
Depositing User: Symplectic Elements
Date Deposited: 11 Jun 2012 14:07
Last Modified: 23 Sep 2013 19:24
URI: http://epubs.surrey.ac.uk/id/eprint/531493

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year


Information about this web site

© The University of Surrey, Guildford, Surrey, GU2 7XH, United Kingdom.
+44 (0)1483 300800