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基于HSI颜色空间的车流量统计
引用本文:刘影,李建雄,沈振乾.基于HSI颜色空间的车流量统计[J].中国西部科技,2012(11):26-27.
作者姓名:刘影  李建雄  沈振乾
作者单位:天津工业大学信息与通信工程学院,天津300387
基金项目:国家自然科学基金青年科学基金项目(61102150)
摘    要:本文针对常见在RGB颜色空间的运动车辆检测方法的不足,提出了一种基于HSI彩色空间的运动车辆检测方法。该算法利用高斯混合模型提取背景,通过选取大小合适的检测带进行背景帧差运算,运用图像二值化提取运动目标。然后利用垂直投影法,并对投影后的图进行中值滤波,从而有效地统计出了车辆数。

关 键 词:车流量统计  高斯混合模型  HSI彩色空间  垂直投影法  中值滤波

Moving Objects Detection and Traffic Flow Statistics Based on HSI Color Space
LIU Ying,LI Jian-xiong*,SHEN Zhen-qian.Moving Objects Detection and Traffic Flow Statistics Based on HSI Color Space[J].Science and Technology of West China,2012(11):26-27.
Authors:LIU Ying  LI Jian-xiong*  SHEN Zhen-qian
Institution:(School of Electronics and Information Engineering,Tianjin Polytechnic University,Tianjin 300387,China)
Abstract:According to the disadvantages of the vehicle detection method based on common RGB color space,we proposed a new method based on HSI color space.By using Gaussian Mixture Model to abstract background and making background frame difference operation,the algorithm extracted moving object in binarization.Then by the use of vertical projection method and image median filter,the whole vehicles in the road could be calculated effectively.
Keywords:Measurement of vehicle flow  Gaussian Mixture Models  HSI Color Space  Vertical projection method  Median filtering
本文献已被 CNKI 维普 等数据库收录!
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