Improving Global Multi-target Tracking with Local Updates

Anton Milan, Rikke Gade, Anthony Dick, Thomas B. Moeslund, Ian Reid

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

10 Citationer (Scopus)
387 Downloads (Pure)

Abstrakt

We propose a scheme to explicitly detect and resolve ambiguous situations in multiple target tracking. During periods of uncertainty, our method applies multiple local single target trackers to hypothesise short term tracks. These tracks are combined with the tracks obtained by a global multi-target tracker, if they result in a reduction in the global cost function. Since tracking failures typically arise when targets become occluded, we propose a local data association scheme to maintain the target identities in these situations. We demonstrate a reduction of up to 50% in the global cost function, which in turn leads to superior performance on several challenging benchmark sequences. Additionally, we show tracking results in sports videos where poor video quality and frequent and severe occlusions between multiple players pose difficulties for
state-of-the-art trackers.
OriginalsprogEngelsk
TitelComputer Vision - ECCV 2014 Workshops : Zurich, Switzerland, September 6-7 and 12, 2014, Proceedings, Part III
RedaktørerLourdes Agapito, Michael M. Bronstein, Carsten Rother
Antal sider17
ForlagSpringer
Publikationsdato2015
Udgave3
Sider174-190
ISBN (Trykt)978-3-319-16198-3
ISBN (Elektronisk)978-3-319-16199-0
DOI
StatusUdgivet - 2015
BegivenhedECCV Workshop: Visual Surveillance and Re-Identification - Zürich, Schweiz
Varighed: 12 sep. 2014 → …

Workshop

WorkshopECCV Workshop
LandSchweiz
ByZürich
Periode12/09/2014 → …
NavnLecture Notes in Computer Science
Nummer8927
ISSN0302-9743

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