Tracking of Individuals in Very Long Video Sequences

Preben Fihl, Rasmus Corlin, Sangho Park, Thomas B. Moeslund, Mohan M. Trivedi

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5 Citationer (Scopus)
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Abstract

In this paper we present an approach for automatically detecting and tracking humans in very long video sequences. The detection is based on background subtraction using a multi-mode Codeword method. We enhance this method both in terms of representation and in terms of automatically updating the background allowing for handling gradual and rapid changes. Tracking is conducted by building appearance-based models and matching these over time. Tests show promising detection and tracking results in a ten hour video sequence.
OriginalsprogEngelsk
TitelAdvances in Visual Computing
Antal sider10
Vol/bindSpringer
ForlagSpringer
Publikationsdato2006
Sider60-69
ISBN (Trykt)9783540486282
StatusUdgivet - 2006
Begivenhed2nd International Symposium on Visual Computing - Lake Tahoe, USA
Varighed: 6 nov. 20068 nov. 2006
Konferencens nummer: 2

Konference

Konference2nd International Symposium on Visual Computing
Nummer2
Land/OmrådeUSA
ByLake Tahoe
Periode06/11/200608/11/2006
NavnLecture Notes in Computer Science
Nummer1
Vol/bind4291/2006
ISSN0302-9743

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