摘要
为了满足在高饱和城市交叉路口采用背景差法实现车辆检测的需求,设计了一种基于背景评估的背景提取与更新算法。算法针对交叉路口的车流特点,提出了一种基于检测结果反馈的背景评估机制,并融合中值滤波与帧间差分算法,将含噪声的初始背景不断纠错更新,向真实背景逼近,最终提取出一个可用的背景图。实验结果表明:对于一个信号周期内不能放完所有排队车辆的高饱和交叉路口,算法具有较快的收敛速度,且算法复杂度满足实际工程应用要求。
A method of background extraction and update for vehicle detection is proposed, which is special for the saturated intersection. According to the characteristics of traffic flow in intersections, a back- ground evaluation mechanism is established by using the feedback of vehicle detection result. Then the true background image is updated from the noisy initial background iteratively combining evaluation mechanism, Median Filter and Inter-frame Difference algorithm. The experiments show that the algorithm has a faster convergence rate in saturated intersection, and satisfy complex engineering needs.
出处
《中山大学学报（自然科学版）》
CAS
CSCD
北大核心
2012年第3期23-28,共6页
Acta Scientiarum Naturalium Universitatis Sunyatseni
基金
国家自然科学基金资助项目(51078362)
关键词
背景提取
高饱和交叉口
中值滤波
帧间差分法
background extraction
saturated intersection
median filter
inter-frame difference
