Statistical Background Modeling: An Edge Segment Based Moving Object Detection Approach

M. Murshed, Adín Ramírez Rivera, O. Chae
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引用次数: 32

Abstract

We propose an edge segment based statistical backgroundmodeling algorithm and a moving edge detectionframework for the detection of moving objects. We analyzethe performance of the proposed segment based statisticalbackground model with traditional pixel based, edge pixelbased and edge segment based approaches. Existing edgebased moving object detection algorithms fetches difficultydue to the change in background motion, object shape, illuminationvariation and noise. The proposed algorithmmakes efficient use of statistical background model usingthe edge-segment structure. Experiments with natural imagesequences show that our method can detect moving objectsefficiently under the above mentioned environments.
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统计背景建模:一种基于边缘段的运动目标检测方法
我们提出了一种基于边缘段的统计背景建模算法和一种运动边缘检测框架来检测运动物体。我们用传统的基于像素的、基于边缘像素的和基于边缘段的方法来分析所提出的基于统计背景模型的性能。现有的基于边缘的运动目标检测算法由于背景运动、目标形状、光照变化和噪声的变化而存在困难。该算法利用边缘段结构有效地利用了统计背景模型。用自然图像序列进行的实验表明,该方法可以有效地检测出上述环境下的运动目标。
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