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

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

BMVC 2005 - Proceedings of the British Machine Vision Conference 2005
BMVA
BMVC 2005 (Oxford, UK, 05/09/2005–08/09/2005)
01/01/2005

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.

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