Sputnik Tracker: Looking for a Companion Improves Robustness of the Tracker

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F09%3A00163099" target="_blank" >RIV/68407700:21230/09:00163099 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Sputnik Tracker: Looking for a Companion Improves Robustness of the Tracker

Popis výsledku v původním jazyce

Tracked objects rarely move alone. They are often temporarily accompanied by other objects undergoing similar motion. We propose a novel tracking algorithm called Sputnik (Sputnik, pronounced sput-nik in Russian, was the first Earth-orbiting satellite launched in 1957. According to Merriam-Webster dictionary, the English translation of the Russian word sputnik is a travelling companion.) Tracker. It is capable of identifying which image regions move coherently with the tracked object. This information is used to stabilize tracking in the presence of occlusions or fluctuations in the appearance of the tracked object, without the need to model its dynamics. In addition, Sputnik Tracker is based on a novel template tracker integrating foreground and background appearance cues. The time varying shape of the target is also estimated in each video frame, together with the target position. The time varying shape is used as another cue when estimating the target position in the next frame.

Název v anglickém jazyce

Sputnik Tracker: Looking for a Companion Improves Robustness of the Tracker

Popis výsledku anglicky

Tracked objects rarely move alone. They are often temporarily accompanied by other objects undergoing similar motion. We propose a novel tracking algorithm called Sputnik (Sputnik, pronounced sput-nik in Russian, was the first Earth-orbiting satellite launched in 1957. According to Merriam-Webster dictionary, the English translation of the Russian word sputnik is a travelling companion.) Tracker. It is capable of identifying which image regions move coherently with the tracked object. This information is used to stabilize tracking in the presence of occlusions or fluctuations in the appearance of the tracked object, without the need to model its dynamics. In addition, Sputnik Tracker is based on a novel template tracker integrating foreground and background appearance cues. The time varying shape of the target is also estimated in each video frame, together with the target position. The time varying shape is used as another cue when estimating the target position in the next frame.

Druh

D - Stať ve sborníku

CEP obor

JD - Využití počítačů, robotika a její aplikace

OECD FORD obor

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Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

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

Rok uplatnění

2009

Kód důvěrnosti údajů

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

Název statě ve sborníku

SCIA 2009: Proceedings of the 16th Scandinavian Conference on Image Analysis

ISBN

978-3-642-02229-6

ISSN

0302-9743

e-ISSN

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Počet stran výsledku

10

Strana od-do

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Název nakladatele

Springer

Místo vydání

Berlin

Místo konání akce

Oslo

Datum konání akce

15. 6. 2009

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000268661000030