自适应背景更新的视频车辆检测

Video Vehicle Detection Based on Self-Adaptive Background Update

针对视频车辆检测技术会因气象等环境变化,尤其在动态检测大范围、多目标的情况下,检测移动车辆图像的分割和检测的效果存在问题,采用一种用于数字图像处理和计算机视觉的函数库openCV,设计出一种基于背景更新的自适应车辆对象检测法,用于视频检测和统计车流量,比较准确地测量出车辆对象.

Problems associated with the effects of image segmentation and detection of vehicle movement result from environmental changes, such as climate change, particularly under the condition of large-scale, multi-object dynamic detection. To address the problems, a vehicle object detection method based on self-adaptive background update is designed by using openCV DB for digital image processing and computer vision. This method can be used to detect videos and process the data of vehicle flow, aimed at precisely detecting vehicle objects.