Incremental modelling of the posterior distribution of objects for inter and intra camera tracking
Gilbert, Andrew and Bowden, R (2005) Incremental modelling of the posterior distribution of objects for inter and intra camera tracking In: BMVC 2005, 5 - 8 September 2005, Oxford, UK.
![]() |
Text
gilbertbowden_bmvc2005.pdf - Accepted version Manuscript Restricted to Repository staff only Download (412kB) |
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: | Conference or Workshop Item (Conference Paper) | |||||||||
---|---|---|---|---|---|---|---|---|---|---|
Divisions : | Surrey research (other units) | |||||||||
Authors : |
|
|||||||||
Date : | 1 January 2005 | |||||||||
DOI : | 10.5244/C.19.39 | |||||||||
Copyright Disclaimer : | © BMVA | |||||||||
Depositing User : | Symplectic Elements | |||||||||
Date Deposited : | 17 May 2017 13:15 | |||||||||
Last Modified : | 23 Jan 2020 18:25 | |||||||||
URI: | http://epubs.surrey.ac.uk/id/eprint/838516 |
Actions (login required)
![]() |
View Item |
Downloads
Downloads per month over past year