Naslov
Template Matching Technique for Image Object Recognition

Autori
Prvan, Marina ; Šarić, Matko ; Rožić, Nikola

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), stručni

Izvornik
SoftCOM 2013 Events-Workshop on Information and Communication Technologies / - , 2013, 45-51

Skup
2013 21st International Conference on Software, Telecommunications and Computer Networks (SoftCOM 2013)

Mjesto i datum
Primošten, Hrvatska; Split, Hrvatska, 18.09.2013. - 20.09.2013

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
object recognition ; template matching ; histogram ; spectrum

Sažetak
The automatic object recognition is important but challenging task in computer vision. The main difficulty is that the system must be able to differentiate specific object in spite of restrictive factors such as lighting conditions or different object orientations and positions with respect to the camera. The most commonly used method when trying to recognize a specific object, given in a form of a template, as a part of a target image is template matching technique. In this work, object recognition is implemented as a two-stage process. First, histogram matching is applied in order to find areas where object is most likely to be located. However, it is shown that using only histogram as a similarity criterion is not sufficient. Therefore, best-matching subparts of a scene image are extracted and further analyzed in frequency domain. Our experiment shows that object is successfully recognized on various different scenes. Furthermore, even if object has already been partially recognized during the first-step histogram-based template matching, combination with the second-step analysis in Fourier domain can additionally enhance the recognition process.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Računarstvo

POVEZANOST RADA