基于迟滞阈值和多模型的运动目标检测中的空洞问题

2013 IEEE International Symposium on Consumer Electronics (ISCE) Pub Date : 2013-06-03 DOI:10.1109/ISCE.2013.6570179

Chin-Yang Lin, Wei-Wen Chang, Panyaporn Prangjarote, C. Yeh, Guo-Shiang Lin

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引用次数: 0

摘要

传统的背景建模方法计算量大，且前景对象存在空腔问题。在本文中，我们提出了一种基于块的背景建模方法，该方法结合了由颜色和纹理特征得出的多个检测结果。该方法能显著缓解空腔问题，并能抵抗一定的阴影干扰。由于该方案对复杂度要求较低，适合实时应用。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Alleviating cavity problems in moving object detection based on hysteresis thresholding and multi-models

Traditional background modeling methods often require complicated computations and suffer from cavity problems in foreground objects. In this paper, we propose a block-based background modeling method combining multiple detection results derived from color and texture characteristics. This method can significantly alleviate the cavity problem and resist certain shadow interference. Since the proposed scheme only requires low complexity, it is suitable for real-time applications.

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来源期刊

2013 IEEE International Symposium on Consumer Electronics (ISCE)

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