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A Method of Intersection Traffic Volume Statistics Using Aerial Video

机译:一种基于航拍视频的交叉口交通流量统计方法

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This paper proposes a new method of detecting traffic volume of intersections from aerial video processing by software, and made a simple example. First, we use aeromodelling to get traffic flow video of target area. Then, we process the video with software we developed independently, to access data we need. The software developed on the platform of MFC and OPECV based on the C++ program. We used the mixed Gauss background difference method to identify vehicles in a single frame, and the L-K algorithm and corner detection algorithm to track vehicles in the continuous video. By this way, we extract trajectories of vehicles, and then get the speed and acceleration according to the relationship between time and displacement. On this basis, we propose a method of intersection traffic volume statistics. Proved by the experiment, the data gathered from the aerial video by our software is very accurate, and the error of intersection traffic volume is within 2%. It meets the requirements of the traffic survey well. The foreground of the software is considerable.
机译:提出了一种通过软件对航拍视频进行路口交通量检测的新方法,并给出了一个简单的例子。首先,我们使用航空模型获取目标区域的交通流视频。然后,我们使用独立开发的软件处理视频,以访问所需的数据。该软件基于C ++程序在MFC和OPECV平台上开发。我们使用混合高斯背景差分法在单帧中识别车辆,并使用L-K算法和拐角检测算法在连续视频中跟踪车辆。通过这种方式,我们提取车辆的轨迹,然后根据时间与位移之间的关系获得速度和加速度。在此基础上,提出了一种路口交通量统计方法。实验证明,我们的软件从航拍视频中收集的数据非常准确,路口交通量的误差在2%以内。它很好地满足了交通调查的要求。该软件的前景十分可观。

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