Robust Scale-Adaptive Mean-Shift for Tracking
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F13%3A00212540" target="_blank" >RIV/68407700:21110/13:00212540 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21230/13:00212540
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-642-38886-6_61" target="_blank" >http://dx.doi.org/10.1007/978-3-642-38886-6_61</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-642-38886-6_61" target="_blank" >10.1007/978-3-642-38886-6_61</a>
Alternative languages
Result language
angličtina
Original language name
Robust Scale-Adaptive Mean-Shift for Tracking
Original language description
Mean-Shift tracking is a popular algorithm for object tracking since it is easy to implement and it is fast and robust. In this paper, we address the problem of scale adaptation of the Hellinger distance based Mean-Shift tracker. We start from a theoretical derivation of scale estimation in the Mean-Shift framework. To make the scale estimation robust and suitable for tracking, we in- troduce regularization terms that counter two major problem: (i) scale expansion caused by background clutter and (ii) scale implosion on self-similar objects. To further robustify the scale estimate, it is validated by a forward-backward consis- tency check. The proposed Mean-shift tracker with scale selection is compared with re- cent state-of-the-art algorithms on a dataset of 48 public color sequences and it achieved excellent results.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
SCIA 2013: Proceedings of the 18th Scandinavian Conference on Image Analysis
ISBN
978-3-642-38885-9
ISSN
0302-9743
e-ISSN
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Number of pages
12
Pages from-to
652-663
Publisher name
Springer
Place of publication
Heidelberg
Event location
Espoo
Event date
Jun 17, 2013
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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