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一种适应户外光照变化的背景建模及目标检测方法

赵旭东 刘鹏 唐降龙 刘家锋

赵旭东, 刘鹏, 唐降龙, 刘家锋. 一种适应户外光照变化的背景建模及目标检测方法. 自动化学报, 2011, 37(8): 915-922. doi: 10.3724/SP.J.1004.2011.00915
引用本文: 赵旭东, 刘鹏, 唐降龙, 刘家锋. 一种适应户外光照变化的背景建模及目标检测方法. 自动化学报, 2011, 37(8): 915-922. doi: 10.3724/SP.J.1004.2011.00915
ZHAO Xu-Dong, LIU Peng, TANG Xiang-Long, LIU Jia-Feng. Background Modeling Adaptive to Outdoor IlluminationVariation and Foreground Detection Approach. ACTA AUTOMATICA SINICA, 2011, 37(8): 915-922. doi: 10.3724/SP.J.1004.2011.00915
Citation: ZHAO Xu-Dong, LIU Peng, TANG Xiang-Long, LIU Jia-Feng. Background Modeling Adaptive to Outdoor IlluminationVariation and Foreground Detection Approach. ACTA AUTOMATICA SINICA, 2011, 37(8): 915-922. doi: 10.3724/SP.J.1004.2011.00915

一种适应户外光照变化的背景建模及目标检测方法

doi: 10.3724/SP.J.1004.2011.00915
详细信息
    通讯作者:

    赵旭东 哈尔滨工业大学计算机科学与技术学院博士研究生. 2007年获哈尔滨工业 大学硕士学位.主要研究方向为数字信号处理、时间序列分析、图像处理和模式识别.本文通信作者.E-mail: zhaoxudong@hit.edu.cn

Background Modeling Adaptive to Outdoor IlluminationVariation and Foreground Detection Approach

  • 摘要: 针对户外视频监控存在光照变化这一问题, 提出一个用于准确完成目标检测的实时背景建模框架. 考虑到目标检测的准确性要求, 建立基于帧间像素亮度差统计直方图的像素亮度扰动阈值. 在此基础上, 针对背景建模的实时性要求, 提出一种基于自回归背景模型的参数快速更新方法. 鉴于不同光照变化的适应性要求, 定义对光照变化不敏感的背景纹理模型. 上述模型统称为自回归--纹理 (Auto regression and texture, ART) 模型, 该模型适应于户外光照变化. 基于该模型构建像素亮度和纹理置信区间用于目标检测. 实验结果表明, 该框架能适应和实时跟踪户外背景的光照变化, 并对目标进行准确检测.
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  • 收稿日期:  2010-12-01
  • 修回日期:  2011-03-22
  • 刊出日期:  2011-08-20

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