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Pregled bibliografske jedinice broj: 960975

Image Object Recognition Using Color and Spectrum Comparison


Prvan, Marina; Šarić, Matko; Rožić, Nikola
Image Object Recognition Using Color and Spectrum Comparison // SoftCOM 2014 Events-Workshop on Information and Communication Technologies
Split, Hrvatska, 2014. str. 96-102 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), stručni)


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Naslov
Image Object Recognition Using Color and Spectrum Comparison

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

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

Izvornik
SoftCOM 2014 Events-Workshop on Information and Communication Technologies / - , 2014, 96-102

Skup
2014 22nd International Conference on Software, Telecommunications and Computer Networks (SoftCOM 2014)

Mjesto i datum
Split, Hrvatska, 17-19.9.2014

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
object recognition ; template matching ; color space ; spectrum ;

Sažetak
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 due to different object orientations and positions with respect to the camera. In this work, we use a known method when trying to recognize a specific object template as a part of a target image, called template matching. The experiment is implemented as a twostage process. First, images are preprocessed by reducing their resolution, and mean template brightness is stored for normalization during the comparison to eliminate lightness alternations. Furthermore, color-based template matching is applied in order to find areas where object is most likely to be located. Best-matching subparts of a target image are extracted and further analyzed in frequency domain. Our experiment shows that object is successfully recognized on various different scenes while exhibiting various positions with respect to the camera. Moreover, if object has already been recognized during the first step, the second-step analysis can additionally confirm the object recognition. Thus we combine two features, color and spectrum of an object, to exhibit its true location on a target image in a robust way.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Računarstvo



POVEZANOST RADA


Projekt / tema
023-0231924-1661 - ICT sustavi i usluge temeljeni na integraciji informacija (Nikola Rožić, )

Ustanove
Fakultet elektrotehnike, strojarstva i brodogradnje, Split

Profili:

Avatar Url Marina Prvan (autor)

Avatar Url Nikola Rožić (autor)

Citiraj ovu publikaciju

Prvan, Marina; Šarić, Matko; Rožić, Nikola
Image Object Recognition Using Color and Spectrum Comparison // SoftCOM 2014 Events-Workshop on Information and Communication Technologies
Split, Hrvatska, 2014. str. 96-102 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), stručni)
Prvan, M., Šarić, M. & Rožić, N. (2014) Image Object Recognition Using Color and Spectrum Comparison. U: SoftCOM 2014 Events-Workshop on Information and Communication Technologies.
@article{article, year = {2014}, pages = {96-102}, keywords = {object recognition, template matching, color space, spectrum, }, title = {Image Object Recognition Using Color and Spectrum Comparison}, keyword = {object recognition, template matching, color space, spectrum, }, publisherplace = {Split, Hrvatska} }




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