摘要
视频检测法已成为智能交通系统领域中车辆检测技术的一个研究热点.作者构建了一个基于智能交通的视频目标检测与遮挡粘连检测及分割系统,提出了采用改进的基于自适应背景更新的背景差分法检测运动目标,通过对视频序列图像的分析,先分割图像,获得前景运动车辆目标及剪除前景对象后的背景图像,然后采用背景自适应更新、动态阈值更新、背景自动提取等方法实现,研究了车辆间遮挡粘连的检测和对象分离的方法.
Video detection has become a vehicle detection technology research focus in the field of intelligent transportation system.We build a video-based target detection and occlusion detection and segmentation in intelligent transportation system,proposed a modified background subtraction moving targets detection based on adaptive background updating,through the analysis to the video image sequence,segmented image to obtain foreground moving vehicles and the background image,and then adopt adaptive background update,dynamic threshold updating,automatic extraction background to realize the aim.Research the occlusion detection between vehicles and object separation method.
出处
《陕西科技大学学报（自然科学版）》
2011年第4期39-42,共4页
Journal of Shaanxi University of Science & Technology
基金
咸阳市2010年科技计划项目(编号:2010K08-07)
陕西科技大学自然科学基金项目(编号:ZX09-33)
关键词
视频
车辆检测
背景差分法
遮挡检测
video
vehicle detection
background difference method
occlusion detection
