Target Detection Algorithm Based on Gaussian Mixture Background Subtraction Model

摘要：

　　Background subtraction method is an effective moving target detection method.The difficulty lies in looking for the ideal,reliable background model for complex scenes and being updated well.While Gaussian mixture model can quickly establish a good background model,process fast,and eliminate the impact of light well.So it becomes one of the commonly used methods in target detection.This paper presents a background subtraction algorithm based on Gaussian mixture.First,background can be obtained accurately using Gaussian mixture model.Then the video lost in the process of establishing is dealt with using background subtraction method.Lastly,detect the target.

关键词： Gaussian mixture model Background subtraction Moving target detection

作者: Kejun Wang Ying Liang Xianglei Xing Rongyi Zhang

作者单位: Harbin Engineering University,College of Automation,5th Floor,61 Building,Harbin 150001,Heilongjiang,China

会议类型: 国际会议

会议名称: The 2015 Chinese Intelligent Automation Conference(2015中国智能自动化会议)

会议地点: 福州

会议语种:英文

页码: 439-447

在线出版日期: 2015-05-08（万方平台首次上网日期，不代表论文的发表时间）