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Adaptive Contour Model for Real-Time Foreground Detection
作者姓名:黄英  丁晓青
作者单位:StateKeyLaboratoryofIntelligentTechnologyandSystems,DepartmentofElectronicEngineering,TsinghuaUniversity,Beijing100084,China
摘    要:A multiscale foreground detection method was developed to segment moving objects from a stationary background. The algorithm is based on a fixed-mesh-based contour model, which starts at the bounding box of the difference map between an input image and its background and ends at a final contour.An adaptive algorithm was developed to calculate an appropriate energy threshold to control the contours to identify the foreground silhouettes. Experiments show that this method more successfully ignores the negative influence of image noise to obtain an accurate foreground map than other foreground detection algorithms. Most shadow pixels are also eliminated by this method.

关 键 词:自适应轮廓模型  实时前馈探测  自适应能阈  迂回边界  信号处理  图像分割
收稿时间:30 April 2003

Adaptive Contour Model for Real-Time Foreground Detection
Ying Huang, ì ,Xiaoqing Ding, &#x;&#x;.Adaptive Contour Model for Real-Time Foreground Detection[J].Tsinghua Science and Technology,2005,10(1):82-90.
Authors:Ying Huang  ì   Xiaoqing Ding  &#x;&#x;
Institution:State Key Laboratory of Intelligent Technology and Systems, Department of Electronic Engineering, Tsinghua University, Beijing 100084, China
Abstract:A multiscale foreground detection method was developed to segment moving objects from a sta- tionary background. The algorithm is based on a fixed-mesh-based contour model, which starts at the bounding box of the difference map between an input image and its background and ends at a final contour. An adaptive algorithm was developed to calculate an appropriate energy threshold to control the contours to identify the foreground silhouettes. Experiments show that this method more successfully ignores the nega- tive influence of image noise to obtain an accurate foreground map than other foreground detection algo- rithms. Most shadow pixels are also eliminated by this method.
Keywords:real-time foreground detection  background subtraction  active contour model  fixed square                  meshes  snake border  adaptive energy threshold
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