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research article

Tracking Video Objects in Cluttered Background

Cavallaro, A.  
•
Steiger, O.  
•
Ebrahimi, T.  
2005
IEEE Transactions on Circuits and Systems for Video Technology

We present an algorithm for tracking video object which is based on an hybrid strategy. This strategy uses both object and region information to solve the correspondence problem. Low level descriptors are exploited to track object s regions and to cope with track management issues. Appearance and disappearance of objects, splitting and partial occlusions are resolved through interactions between regions and objects. Experimental results demonstrate that this approach has the ability to deal withmultiple deformable objects, whose shape varies over time. Furthermore, it is very simple, because the tracking is based on the descriptors, which represent a very compact piece of information about regions, and they are easy to define and track automatically. Finally, this procedure implicitly provides one with a description of the objects and their track, thus enabling indexing and manipulation of the video content.

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Type
research article
DOI
10.1109/TCSVT.2005.844447
Web of Science ID

WOS:000228341000010

Author(s)
Cavallaro, A.  
Steiger, O.  
Ebrahimi, T.  
Date Issued

2005

Published in
IEEE Transactions on Circuits and Systems for Video Technology
Volume

15

Issue

4

Start page

575

End page

584

Subjects

low level descriptors

•

LTS1

•

Object tracking

•

object.

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LTS  
GR-EB  
Available on Infoscience
June 14, 2006
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/231612
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