Dragan Letic

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The paper presents an efficient and reliable approach to automatic people segmentation, tracking and counting, designed for a system with an overhead mounted (zenithal) camera. Upon the initial block-wise background subtraction, k-means clustering is used to enable the segmentation of single persons in the scene. The number of people in the scene is(More)
In this work, we compared the importance of spectral bands made by satellite detection of underground waters on the agricultural land. Precise estimation of the area affected by floods is of great importance for yield prediction and farmer's subsidies given by government agencies. As input data for our research we have used images generated by WorlView-2(More)
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