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Pregled bibliografske jedinice broj: 366681

A new method for detection of artificial objects and materials from long distance environmental images


Dujmić, Hrvoje; Papić, Vladan; Turić, Hrvoje
A new method for detection of artificial objects and materials from long distance environmental images // Proceedings of world academy of science, engineering and technology
Heidelberg, 2008. str. 543-547 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


CROSBI ID: 366681 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
A new method for detection of artificial objects and materials from long distance environmental images

Autori
Dujmić, Hrvoje ; Papić, Vladan ; Turić, Hrvoje

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

Izvornik
Proceedings of world academy of science, engineering and technology / - Heidelberg, 2008, 543-547

Skup
The International Conference on Signal and Image Processing (ICSIP 2008)

Mjesto i datum
Heidelberg, Njemačka, 24-26.09.2008

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Landscape surveillance; mean shift algorithm; image segmentation; target detection

Sažetak
The article presents a new method for detection of artificial objects and materials from images of the environmental (non-urban) terrain. Our approach uses the hue and saturation (or Cb and Cr) components of the image as the input to the segmentation module that uses the mean shift method. The clusters obtained as the output of this stage have been processed by the decision-making module in order to find the regions of the image with the significant possibility of representing human. Although this method will detect various non-natural objects, it is primarily intended and optimized for detection of humans ; i.e. for search and rescue purposes in non-urban terrain where, in normal circumstances, non-natural objects shouldn’ t be present. Real world images are used for the evaluation of the method.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Računarstvo



POVEZANOST RADA


Projekti:
177-0232006-1662 - Računalni vid u identifikaciji kinematike sportskih aktivnosti
023-0231924-1661 - ICT sustavi i usluge temeljeni na integraciji informacija (Rožić, Nikola, MZOS ) ( POIROT)
023-0232006-1662 - Računalni vid u identifikaciji kinematike sportskih aktivnosti (Papić, Vladan, MZOS ) ( POIROT)

Ustanove:
Fakultet elektrotehnike, strojarstva i brodogradnje, Split,
Prirodoslovno-matematički fakultet, Split

Profili:

Avatar Url Hrvoje Turić (autor)

Avatar Url Hrvoje Dujmić (autor)

Avatar Url Vladan Papić (autor)


Citiraj ovu publikaciju:

Dujmić, Hrvoje; Papić, Vladan; Turić, Hrvoje
A new method for detection of artificial objects and materials from long distance environmental images // Proceedings of world academy of science, engineering and technology
Heidelberg, 2008. str. 543-547 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Dujmić, H., Papić, V. & Turić, H. (2008) A new method for detection of artificial objects and materials from long distance environmental images. U: Proceedings of world academy of science, engineering and technology.
@article{article, author = {Dujmi\'{c}, Hrvoje and Papi\'{c}, Vladan and Turi\'{c}, Hrvoje}, year = {2008}, pages = {543-547}, keywords = {Landscape surveillance, mean shift algorithm, image segmentation, target detection}, title = {A new method for detection of artificial objects and materials from long distance environmental images}, keyword = {Landscape surveillance, mean shift algorithm, image segmentation, target detection}, publisherplace = {Heidelberg, Njema\v{c}ka} }
@article{article, author = {Dujmi\'{c}, Hrvoje and Papi\'{c}, Vladan and Turi\'{c}, Hrvoje}, year = {2008}, pages = {543-547}, keywords = {Landscape surveillance, mean shift algorithm, image segmentation, target detection}, title = {A new method for detection of artificial objects and materials from long distance environmental images}, keyword = {Landscape surveillance, mean shift algorithm, image segmentation, target detection}, publisherplace = {Heidelberg, Njema\v{c}ka} }




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