A New Method for Detection of Artificial Objects and Materials from Long Distance Environmental Images (CROSBI ID 156711)
Prilog u časopisu | izvorni znanstveni rad
Podaci o odgovornosti
Dujmić, Hrvoje ; Papić, Vladan ; Turić, Hrvoje
engleski
A New Method for Detection of Artificial Objects and Materials from Long Distance Environmental Images
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.
Landscape surveillance; mean shift algorithm; image segmentation; target detection
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Podaci o izdanju
4 (1)
2010.
22-26
objavljeno
2517-9934