Combining Template Matching and Background Subtraction Techniques to Detect Objects in Infrared Video Sequences

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60162694%3AG43__%2F16%3A00532978" target="_blank" >RIV/60162694:G43__/16:00532978 - isvavai.cz</a>

Výsledek na webu

<a href="http://aimt.unob.cz/articles/16_02/1117.pdf" target="_blank" >http://aimt.unob.cz/articles/16_02/1117.pdf</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3849/aimt.01117" target="_blank" >10.3849/aimt.01117</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Combining Template Matching and Background Subtraction Techniques to Detect Objects in Infrared Video Sequences

Popis výsledku v původním jazyce

In this paper, an algorithm is introduced combining a template matching technique with background subtraction to detect moving targets on a road captured on video using a static camera. The designed algorithm based on combining the two techniques is to reduce the difficulties in background estimation and improve the processing time, etc. The proposed algorithm was tested in two different video sequences. The first video sequence was filmed with stabilized camera, while the second video was acquired with unstable camera. The results in both cases indicated that the background subtraction algorithm is successful in detecting moving objects and the template matching technique is suitable for object replacement from background frame to acquire the standard background frame.

Název v anglickém jazyce

Combining Template Matching and Background Subtraction Techniques to Detect Objects in Infrared Video Sequences

Popis výsledku anglicky

In this paper, an algorithm is introduced combining a template matching technique with background subtraction to detect moving targets on a road captured on video using a static camera. The designed algorithm based on combining the two techniques is to reduce the difficulties in background estimation and improve the processing time, etc. The proposed algorithm was tested in two different video sequences. The first video sequence was filmed with stabilized camera, while the second video was acquired with unstable camera. The results in both cases indicated that the background subtraction algorithm is successful in detecting moving objects and the template matching technique is suitable for object replacement from background frame to acquire the standard background frame.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

KA - Vojenství

OECD FORD obor

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Projekt

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Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2016

Kód důvěrnosti údajů

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

Název periodika

Advances in Military Technology

ISSN

1802-2308

e-ISSN

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Svazek periodika

11

Číslo periodika v rámci svazku

2

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

8

Strana od-do

151-158

Kód UT WoS článku

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EID výsledku v databázi Scopus

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