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首页> 外文会议>IASTED(International Association of Science and Technology for Development) International Conference on Graphics and Visualization in Engineering; 20070103-05; Clearwater,FL(US) >ROBUST OBJECT SEGMENTATION USING PROBABILITY-BASED BACKGROUND EXTRACTION ALGORITHM
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ROBUST OBJECT SEGMENTATION USING PROBABILITY-BASED BACKGROUND EXTRACTION ALGORITHM

机译：基于概率的背景提取算法的鲁棒对象分割

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摘要

This paper proposes a robust object segmentation by the means of the probability-based background extraction algorithm. The color background images can be extracted efficiently and quickly from color image sequences by the proposed background extraction algorithm. After the background extraction algorithm, the intrusive objects can be segmented correctly and immediately by the robust object segmentation. The background extraction algorithm calculates the color probabilities of each pixel and uses a convergent value to decide the background pixel color, whose probability is the maximum one and greater than the convergent value. The extracted background is updated in real-time to overcome the variation of the illuminative condition. Experimental results using different types of video sequences are presented to demonstrate the robustness, accuracy, and time responses of the proposed algorithm.
机译：通过基于概率的背景提取算法，提出了一种鲁棒的目标分割方法。通过提出的背景提取算法，可以从彩色图像序列中快速有效地提取彩色背景图像。经过背景提取算法后，可以通过鲁棒的对象分割对入侵对象进行正确且立即的分割。背景提取算法计算每个像素的颜色概率，并使用一个收敛值来确定背景像素颜色，其概率为最大且大于该收敛值。提取的背景会实时更新，以克服照明条件的变化。提出了使用不同类型视频序列的实验结果，以证明所提出算法的鲁棒性，准确性和时间响应。

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