Computer Engineering and Applications ›› 2014, Vol. 50 ›› Issue (13): 158-162.
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QIU Guangneng, QUAN Huimin
Online:
Published:
邱光能,全惠敏
Abstract: 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.
Key words: moving object detection, adaptive background, multi-symmetrical-differencing, sudden illumination changes
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。
关键词: 运动目标检测, 自适应背景, 多重对称差分, 光线突变
QIU Guangneng, QUAN Huimin. Moving object detection algorithm based on symmetrical-differencing and background subtraction[J]. Computer Engineering and Applications, 2014, 50(13): 158-162.
邱光能,全惠敏. 基于对称差分和背景减的运动目标检测[J]. 计算机工程与应用, 2014, 50(13): 158-162.
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URL: http://cea.ceaj.org/EN/
http://cea.ceaj.org/EN/Y2014/V50/I13/158
LI Qing-zhong,HE Dong-xiao