A Video Target Detection Algorithm Based on Pixels Texture Correlation Background Model

摘要：

This paper describes a screen target detection algorithm which is based on the background of Pixel texture information to judge models.The model is based on Bayesian statistical model frame,using histogram to get background reference,and lead in texture information of pixels to determine the results of the test optimization.It can quickly and accurately generate reference background,accumulating less noise during the period of updating background,and keeping longtime stability.Experimental results show that compared with the Bayesian statistical model,the screen target detection algorithm which is based on the background of Pixel texture information to judge models has greatly improved in accuracy and reduced in error rate.

关键词： Pixels Texture Correlation Target Detection Background Model

作者: Jibin Fu Xin Bai Baode Ju

作者单位: School Of Computer And Information Engineering,Henan University Of Economics And Law,ZhengZhou,China

会议类型: 国际会议

会议名称: 第三届全国智能视觉监控学术会议

会议地点: 北京

会议语种:英文

页码: 61-64

在线出版日期: 2011-12-01（万方平台首次上网日期，不代表论文的发表时间）