Computer Engineering and Applications ›› 2010, Vol. 46 ›› Issue (3): 246-248.DOI: 10.3778/j.issn.1002-8331.2010.03.075
• 工程与应用 • Previous Articles
WANG Shuang-lin,KANG Mu-ning,DENG Zheng-hong,LI Jian-wen
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王双林,康慕宁,邓正宏,李建文
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Abstract: Background subtraction is a method used mostly to get foreground objects in computer vision field;the keys of background subtraction are the building and updating of background and filtering of noises.The method based on background alternation needs a little of computation than the one based on statistic.Dynamic expanding filtering can do a little damage to the foreground objects and remove noises very well.When the camera is immobile,by using the methods mentioned,the foreground objects can be gotten clearly.
摘要: 减背景法是计算机视觉领域常用的前景目标获取方法,减背景法的关键是背景模型的建立和更新以及减除背景后的噪声滤除。基于统计的背景建模方法计算量都比较大,背景更替方法建模避免了大量的计算。动态扩展滤波法是一种对前景目标信息破坏程度低,对噪声具有很好滤出效果的滤波方法。在摄像头静止的情况下,利用背景更替的背景建模及更新方法结合动态扩展滤波能够提取出清晰的前景目标。
CLC Number:
TP311
WANG Shuang-lin,KANG Mu-ning,DENG Zheng-hong,LI Jian-wen. Object separating algorithm based on background alternation and dynamic expanding filter[J]. Computer Engineering and Applications, 2010, 46(3): 246-248.
王双林,康慕宁,邓正宏,李建文. 基于背景更替和动态扩展滤波的目标提取方法[J]. 计算机工程与应用, 2010, 46(3): 246-248.
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URL: http://cea.ceaj.org/EN/10.3778/j.issn.1002-8331.2010.03.075
http://cea.ceaj.org/EN/Y2010/V46/I3/246