4 January 2002 Dynamic object segmentation for outdoor analysis
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Abstract
A new technique for dynamic object segmentation in outdoor environments is presented. It is based on an adaptive thresholding pixel-oriented strategy applied on a combination of static and dynamic differences that segments the motion presented in each image. A detection and tracking scheme helps reducing the processing areas to those in which the moving objects are present. Therefore, computational cost is highly reduced without any loss in the accuracy of the algorithm. Besides, shadows and occlusions (due to the perspective that is used) are detected and eliminated keeping similar computational savings. Results are shown on road traffic monitoring sequences.
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Luis Salgado, Narciso N. Garcia, Jose Manuel Menendez, Enrique Rendon, "Dynamic object segmentation for outdoor analysis", Proc. SPIE 4671, Visual Communications and Image Processing 2002, (4 January 2002); doi: 10.1117/12.453102; https://doi.org/10.1117/12.453102
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