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基于改进压缩背景码书模型的运动目标检测方法

Moving Target Detection Method Based on Improved Compressed Background Codebook Model
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摘要 运动目标检测是视频监控系统中的关键技术步骤。传统算法一般通过视频序列中像素分布的时空域特点进行判断,对亮度变化和阴影的鲁棒性较差。提出了一种基于改进压缩背景码书模型的运动目标检测方法,提出了一种改进色彩偏差和亮度差异阈值的检测策略,并采用形态学处理去除不规则和较小面积误检测的影响,对外界光线变化具有更强的鲁棒性。仿真实验表明,此算法在暗/亮区域目标检测中更具合理性,证明了算法的有效性。 Moving target detection is a key technical step in video monitoring systems.Traditional algorithms usually judge by the temporal and spatial characteristics of pixel distribution in video sequence,which has poor robustness in brightness change and shadow.A moving object detection method based on improved compressed background codebook(CB)model is proposed,and an improved color deviation and brightness difference threshold detection strategy is adopted in this method,which uses an erosion strategy to remove the effects of irregular and smaller areas’detection error after the moving object map is obtained,showing greater robustness in external light change.The proposed algorithm can be applied to several video sequences.The simulation experiment results prove that the proposed algorithmrealizes its rationality and effectiveness especially in dark/bright areas.
作者 段继华 郝铎 刘华宇 卢梦思 DUAN Jihua;HAO Duo;LIU Huayu;LU Mengsi(The 54th Research Institute of CETC,Shijiazhuang 050081,China;North China Institute of Aerospace Engineering,Langfang 065000,China)
机构地区 中国电子科技集团公司第五十四研究所 北华航天工业学院
出处 《计算机与网络》 2022年第5期59-62,共4页 Computer & Network
关键词 压缩背景码书模型 运动目标检测 色彩偏差 亮度差异阈值 compressed background codebook model moving target detection color deviation brightness difference threshold
分类号 TP391.4 [自动化与计算机技术—计算机应用技术]
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