Multi-camera colour tracking

Author

Orwell, J. ; Remagnino, P. ; Jones, G.A.

Author_Institution

Sch. of Comput. Sci. & Electron. Syst., Kingston Univ., UK

fYear

1999

fDate

36342

Firstpage

14

Lastpage

21

Abstract

We propose a colour tracker for use in visual surveillance. The tracker is part of a framework designed to monitor a dynamic scene with more than one camera. Colour tracking complements spatial tracking: it can also be used over large temporal intervals, and between spatially uncalibrated cameras. The colour distributions from objects are modelled, and measures of difference between them are discussed. A context is required for assessing the significance of any difference. It is provided by an analysis of the noise processes: first on the camera capture, then on the underlying variability of the signal. We present results comparing parametric and explicit representations, the inclusion and omission of intensity data, and single and multiple cameras

Keywords

image colour analysis; image segmentation; image sensors; maximum likelihood estimation; surveillance; camera capture; dynamic scene; explicit representations; intensity data; large temporal intervals; multi-camera colour tracking; parametric representations; signal variability; spatially uncalibrated cameras; visual surveillance; Aggregates; Cameras; Colored noise; Computer science; Computerized monitoring; Layout; Signal analysis; Signal processing; Surveillance; Target tracking;

fLanguage

English

Publisher

ieee

Conference_Titel

Visual Surveillance, 1999. Second IEEE Workshop on, (VS'99)

Conference_Location

Fort Collins, CO

Print_ISBN

0-7695-0037-4

Type

conf

DOI

10.1109/VS.1999.780264

Filename

780264