复杂场景下运动车辆实时动态自适应检测方法

针对复杂交通场景中运动车辆检测方法存在的局限性,提出了一种基于自适应背景与改进动态阈值相结合的运动检测算法.基于当前帧与背景相减得到的差分图像,利用自适应阈值选取方法分别对差分图像的三个颜色通道进行二值化,从而实现运动目标的精确检测.根据检测结果,采用中值更新策略实现背景图像的实时更新.实验结果表明,该算法可以从复杂交通场景图像序列中有效地检测出运动目标.而且算法计算量小,具有良好的鲁棒性与实时性品质指标,能够很好地满足智能交通监控系统中运动车辆实时检测技术要求.

Dynamic Real Time Adaption Detection Algorithm for Moving Vehicles in Complex Scenes

An algorithm based on adaptive background and improved dynamical threshold is proposed to solve the problem of the limitation of current detection methods of moving vehicle in complex scenes.Obtaining the difference image by the substraction between present frame and background,the precision detection of moving objects is implemented through binaryzing the three different color channels of the difference image by selecting adaptive threshold values.According to the detected objects,an updating strategy by m...