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Incremental modelling of the posterior distribution of objects for inter and intra camera tracking

Gilbert, A and Bowden, R (2005) Incremental modelling of the posterior distribution of objects for inter and intra camera tracking BMVC 2005 - Proceedings of the British Machine Vision Conference 2005.

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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 create the spatio-temporal links between cameras, and thus model the posterior probability distribution of these links. This can then be used with an appearance model of the object to track across cameras. It requires no calibration or batch preprocessing and becomes more accurate over time as evidence is accumulated.

Item Type: Article
Authors :
NameEmailORCID
Gilbert, AUNSPECIFIEDUNSPECIFIED
Bowden, Rr.bowden@surrey.ac.ukUNSPECIFIED
Date : 1 January 2005
Identification Number : https://doi.org/10.5244/C.19.39
Depositing User : Symplectic Elements
Date Deposited : 17 May 2017 13:15
Last Modified : 17 May 2017 15:10
URI: http://epubs.surrey.ac.uk/id/eprint/838516

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