Using template matching technique for object detection in infrared images

Kód výsledku v IS VaVaI

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Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Using template matching technique for object detection in infrared images

Popis výsledku v původním jazyce

Template matching is a technique in digital image processing for finding parts of an image which are the most similar as template image. It can be used for quality control, a mobile robot navigation or edges detection in image. This technique is often considered to be a very basic, limited approach to the most interesting problems of computer vision. In this paper, we focus on searching abilities of this technique using correlation in applications for objects detection in infrared images. This problem was tested in programing environment Matlab and tested pictures as well as video sequences were acquired by cameras RayCam C.A. 1884 and thermoIMAGER 160. For object detection is often used threshold method which is based on significant features of an object. The detected object has often different traits than the background. It is computationally efficient when working with high resolution source images. Although, in more complex situations of object detection with weak features when the

Název v anglickém jazyce

Using template matching technique for object detection in infrared images

Popis výsledku anglicky

Template matching is a technique in digital image processing for finding parts of an image which are the most similar as template image. It can be used for quality control, a mobile robot navigation or edges detection in image. This technique is often considered to be a very basic, limited approach to the most interesting problems of computer vision. In this paper, we focus on searching abilities of this technique using correlation in applications for objects detection in infrared images. This problem was tested in programing environment Matlab and tested pictures as well as video sequences were acquired by cameras RayCam C.A. 1884 and thermoIMAGER 160. For object detection is often used threshold method which is based on significant features of an object. The detected object has often different traits than the background. It is computationally efficient when working with high resolution source images. Although, in more complex situations of object detection with weak features when the

Druh

D - Stať ve sborníku

CEP obor

KA - Vojenství

OECD FORD obor

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Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2014

Kód důvěrnosti údajů

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

Název statě ve sborníku

Transport Means 2014

ISBN

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ISSN

1822-296X

e-ISSN

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Počet stran výsledku

4

Strana od-do

257-260

Název nakladatele

Kaunas University of Technology, Lithuania

Místo vydání

Kaunas, Lithuania

Místo konání akce

Kaunas, Lithuania

Datum konání akce

23. 10. 2014

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000345692000062