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International Conference on Information Science and Technology
In this paper, we propose a novel and simple method for people and vehicles classification in far distance video surveillance. In this approach, moving objects are firstly segmented from background using a background subtraction technique. Secondly, edges of moving objects are extracted using canny operator. Then straight lines of edges of moving objects are extracted by Hough transform and feature based on Hough line feature (HouLR) for classification is constructed. Finally, moving objectsdoi:10.1109/icist.2011.5765245 fatcat:yhxzt27yondnbn7ag6w4ru6z2a