@article{(Open Science Index):https://publications.waset.org/pdf/2356,
	  title     = {A New Method for Detection of Artificial Objects and Materials from Long Distance Environmental Images},
	  author    = {H. Dujmic and  V. Papic and  H. Turic},
	  country	= {},
	  institution	= {},
	  abstract     = {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
	    journal   = {International Journal of Electrical and Computer Engineering},
	  volume    = {2},
	  number    = {7},
	  year      = {2008},
	  pages     = {1403 - 1407},
	  ee        = {https://publications.waset.org/pdf/2356},
	  url   	= {https://publications.waset.org/vol/19},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 19, 2008},