WASET
	%0 Journal Article
	%A Seung-Hun Kim and  Kye-Hoon Jeon and  Byoung-Doo Kang and  I1-Kyun Jung
	%D 2011
	%J International Journal of Electrical and Computer Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 60, 2011
	%T Object Detection based Weighted-Center Surround Difference
	%U https://publications.waset.org/pdf/7608
	%V 60
	%X Intelligent traffic surveillance technology is an issue in
the field of traffic data analysis. Therefore, we need the technology to
detect moving objects in real-time while there are variations in background and natural light. In this paper, we proposed a Weighted-Center Surround Difference
method for object detection in outdoor environments. The proposed system detects objects using the saliency map that is obtained by
analyzing the weight of each layers of Gaussian pyramid. In order to validate the effectiveness of our system, we implemented the proposed
method using a digital signal processor, TMS320DM6437.
Experimental results show that blurred noisy around objects was effectively eliminated and the object detection accuracy is improved.
	%P 1924 - 1927