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基于自适应背景模型的实时人体检测
引用本文:韩鸿哲,王志良,刘冀伟,李彬,韩忠涛.基于自适应背景模型的实时人体检测[J].北京科技大学学报,2003,25(4):384-386.
作者姓名:韩鸿哲  王志良  刘冀伟  李彬  韩忠涛
作者单位:北京科技大学信息工程学院,北京,100083
基金项目:国家自然科学基金;69975002;
摘    要:提出了基于动态信息窗口的自适应背景模型,在此基础上建立人体检测的有效算法。通过实验表明,该方法能够适应变化的背景,具有较强的鲁棒性和较好的实时性。

关 键 词:自适应背景模型  人体检测  背景差  计算机视觉  动态信息窗口  特征提取
修稿时间:2003年5月10日

Real-Time Human Detection Based on the Adaptive Background Model
HAN Hongzhe,WANG Zhiliang,LIU Jiwei,LI Bin,HAN Zhongtao Information Engineering School,University of Science and Technology Beijing,Beijing ,China.Real-Time Human Detection Based on the Adaptive Background Model[J].Journal of University of Science and Technology Beijing,2003,25(4):384-386.
Authors:HAN Hongzhe  WANG Zhiliang  LIU Jiwei  LI Bin  HAN Zhongtao Information Engineering School  University of Science and Technology Beijing  Beijing  China
Institution:HAN Hongzhe,WANG Zhiliang,LIU Jiwei,LI Bin,HAN Zhongtao Information Engineering School,University of Science and Technology Beijing,Beijing 100083,China
Abstract:An adaptive background model based on Dynamic Information Window (DIW) was proposed. Using the adaptive background model, an effective human detection approach was presented. Experimental results demonstrated that the method can give a robust estimation of changing background models in real-time.
Keywords:adaptive background model  human detection  background subtraction  computer vision
本文献已被 CNKI 维普 万方数据 等数据库收录!
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