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基于对称差分和背景减的运动目标检测 被引量：8

Moving object detection algorithm based on symmetrical-differencing and background subtraction
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摘要 通过对视频运动对象特点的分析,提出一种针对静态场景的运动目标检测算法。该算法采用一种改进的时间平均法初始化背景,在有目标的情况下也能构建出可靠的背景,并融合背景减法和多重对称差分法对背景进行自适应更新。实验结果证明,该算法计算简单,对光线变化具有适应性,能够完整地提取运动目标,改善了运动目标的检测效果,具有一定的鲁棒性。 An algorithm for moving object detection with a static background is proposed by analyzing characteristic of movement objects in video. The algorithm uses improved time-averaged method to initialize background, it can obtain reliable background in the condition of having moving objects. During background updating, the paper combines background subtraction method and multi-symmetrical-differencing. Experimental results show that the proposed algorithm is quick, robust, adaptive to illumination changes and it improves the effect of moving object detection.
作者 邱光能 全惠敏
机构地区 湖南大学电气与信息工程学院
出处 《计算机工程与应用》 CSCD 2014年第13期158-162,共5页 Computer Engineering and Applications
基金 国家自然科学基金(No.60835004)
关键词 运动目标检测 自适应背景 多重对称差分 光线突变 moving object detection adaptive background multi-symmetrical-differencing sudden illumination changes
分类号 TP391 [自动化与计算机技术—计算机应用技术]
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共引文献96

同被引文献62

  • 1陈俊超,张俊豪,刘诗佳,陆小锋.基于背景建模与帧间差分的目标检测改进算法[J].计算机工程,2011,37(S1):171-173. 被引量：23
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计算机工程与应用
2014年 第13期

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