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基于块匹配置信度的隧道交通背景提取算法
引用本文:卢胜男,段沛沛,冯建利,李小和.基于块匹配置信度的隧道交通背景提取算法[J].电视技术,2015,39(8):59-63.
作者姓名:卢胜男  段沛沛  冯建利  李小和
作者单位:西安石油大学计算机学院,陕西西安,710065
基金项目:中央高校基本科研业务费专项资金项目,西安石油大学青年科技创新基金项目,陕西省教育厅专项科研计划项目,西安市科技计划项目(CXY1346
摘    要:针对隧道交通环境变化特点,采用改进的统计直方图法进行背景提取,并提出一种基于块匹配置信度的背景更新算法.实验结果表明,该算法既能满足缓慢变化场景的更新,又克服了当场景中出现慢行目标或目标长时间停留出现的拖尾和目标混入的现象,而且计算复杂度低,背景提取迅速,适合交通状况实时检测的要求.

关 键 词:隧道交通  视频检测  背景提取  背景更新  置信度
收稿时间:2014/8/30 0:00:00
修稿时间:2014/10/21 0:00:00

Background Extraction Algorithm for Tunnel Traffic Based on the Confidence of Block Matching
LU Sheng-nan,DUAN Pei-pei,FENG Jian-li and lixiaohe.Background Extraction Algorithm for Tunnel Traffic Based on the Confidence of Block Matching[J].Tv Engineering,2015,39(8):59-63.
Authors:LU Sheng-nan  DUAN Pei-pei  FENG Jian-li and lixiaohe
Affiliation:Xi'an Shiyou University,Xi'an Shiyou University,Xi'an Shiyou University
Abstract:Due to the changing characteristics of tunnel traffic environment, the improved statistical histogram method is used for background extraction, and a new algorithm based on the confidence of block matching for background updating is presented.The experimental results show that this algorithm can satisfy the slowly changing scene updating, and overcome the phenomenons of trailing when there are slow objects or objects stopping for a long time in the scence. This algorithm is of lower complexity, requires less calculation and has good real-time performance for tunnel traffic detection.
Keywords:Tunnel traffic  Video detection  Background extraction  Background updating  Confidence degree
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