基于背景自适应更新的车辆阴影检测算法

Detection algorithm of vehicle shadow based on self-adaptive background

对基于视频的交通流量参数检测及交通路口控制方法而言,车辆检测是很关键的一步,但是由于车辆阴影的客观存在,经常会造成汽车数量的误检。本文在背景自适应更新的基础上,对阴影建立了模型并对检测算法进行了改进,以提高车辆检测精度。

In the system of video-based traffic monitoring and controlling methods of crossroads with image processing,vehicle detection is pivotal for obtaining traffic parameters.Due to the existence of the shadow of vehicles,the number of vehicles often results in imprecision.In this paper,we establish a shadow model based on the adaptive background and improve the arithmetic of detection to improve the accuracy of vehicle detection.