计算机仿真
計算機倣真
계산궤방진
COMPUTER SIMULATION
2010年
1期
285-287,308
,共4页
彩色空间%梯度极值法%车辆检测%背景帧差
綵色空間%梯度極值法%車輛檢測%揹景幀差
채색공간%제도겁치법%차량검측%배경정차
Color space%Grad extremum%Vehicle detection%Background difference
视频检测的研究是交通参数采集的主要问题,核心是对运动目标的检测.为克服传统基于灰度的背景帧差法所存在的缺陷,提出了建立在YCbCr彩色空间的背景帧差法检测运动目标,分割阈值采用基于迭代的最佳阈值的确定方法,并提出了梯度极值法得到最清晰、完整的车辆进行车流量的统计.经仿真结果表明提出的车辆检测算法不仅能够取得很高的检测精度,而且算法简单、运行速度快.
視頻檢測的研究是交通參數採集的主要問題,覈心是對運動目標的檢測.為剋服傳統基于灰度的揹景幀差法所存在的缺陷,提齣瞭建立在YCbCr綵色空間的揹景幀差法檢測運動目標,分割閾值採用基于迭代的最佳閾值的確定方法,併提齣瞭梯度極值法得到最清晰、完整的車輛進行車流量的統計.經倣真結果錶明提齣的車輛檢測算法不僅能夠取得很高的檢測精度,而且算法簡單、運行速度快.
시빈검측적연구시교통삼수채집적주요문제,핵심시대운동목표적검측.위극복전통기우회도적배경정차법소존재적결함,제출료건립재YCbCr채색공간적배경정차법검측운동목표,분할역치채용기우질대적최가역치적학정방법,병제출료제도겁치법득도최청석、완정적차량진행차류량적통계.경방진결과표명제출적차량검측산법불부능구취득흔고적검측정도,이차산법간단、운행속도쾌.
Video based Vehicle detection is an important way for collecting traffic parameters. Its core is motion object detection. In order to overcome the shortcomings of traditional background difference based on gray, a back-ground difference based on YCbCr color space is proposed to detect motion object and iteration operation to determine the threshold of partition image. The paper proposes grad maximum to find the clearest and most integrated vehicle image, which provides the basis for vehicle counting. The simulation results demonstrate that the proposed algorithm not only can improve detection accuracy, but also is very simple and has high running speed.
