摘要
提出一种基于视频的车流量统计算法,首先采用高斯混合模型建立背景模型,然后采用背景差分法提取前景,通过形态学处理得到运动车辆,接着利用多示例学习的方法对目标进行跟踪。在Visual Studio 2008上结合Open CV 2.4.4编程实现并验证该算法,取得较好的效果。
Presents a traffic flow statistics algorithm based on video, firstly, the background model is established by Gaussian mixture model, and then the background subtraction method is used to extract the foreground. After the morphological processing, the moving vehicles are detected. And multiple instance learning is adopted for object tracking. The algorithm is implemented in Visual Studio 2008 combined with OpenCV 2.4.4, and provides good performance.
作者
戚秀真
李娜
Qi Xiu-zhen LI Na(School of Information Engineering, Chang＇an University, Xi＇an 710064 School of Telecommunications and Information Engineering, Xi＇an University of Posts and Telecommunications, Xi＇an 710121)
基金
陕西省西安市碑林区科技项目(No.GX1502)
关键词
计算机视觉
车流量统计
目标检测
Computer Vision
Traffic Flow Statistics
Object Detection
