Robust scale-adaptive mean-shift for tracking

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F14%3A00223270" target="_blank" >RIV/68407700:21110/14:00223270 - isvavai.cz</a>

Alternative codes found

RIV/68407700:21230/14:00223270

Result on the web

<a href="http://www.sciencedirect.com/science/article/pii/S0167865514001056" target="_blank" >http://www.sciencedirect.com/science/article/pii/S0167865514001056</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.patrec.2014.03.025" target="_blank" >10.1016/j.patrec.2014.03.025</a>

Result language

angličtina

Original language name

Robust scale-adaptive mean-shift for tracking

Original language description

The mean-shift procedure is a popular object tracking algorithm since it is f ast, easy to implement and performs well in a range of conditions. We address the problem of s cale adaptation and present a novel theoretically justified scale estimation mechanism which relies solely on the mean-shift procedure for the Hellinger distance. We also propose two impro vements of the mean-shift tracker that make the scale estimation more robust in the presence of background clutter. The first one is a novel histogram color weighting that exploits the object neighborhood to help discriminate the target called background ratio weighting (BRW). We s how that the BRW improves performance of MS-like tracking methods in general. The second impro vement boost the performance of the tracker with the proposed scale estimation by the introduc tion of a forward-backward consistency check and by adopting regularization terms that counter two major problems: scale expansion caused by background clutter and s

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

JD - Use of computers, robotics and its application

OECD FORD branch

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Project

<a href="/en/project/GBP103%2F12%2FG084" target="_blank" >GBP103/12/G084: Center for Large Scale Multi-modal Data Interpretation</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2014

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Pattern Recognition Letters

ISSN

0167-8655

e-ISSN

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Volume of the periodical

49

Issue of the periodical within the volume

November

Country of publishing house

NL - THE KINGDOM OF THE NETHERLANDS

Number of pages

9

Pages from-to

250-258

UT code for WoS article

000343852400034

EID of the result in the Scopus database

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