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首页> 外文期刊>International journal of remote sensing >A novel vehicle tracking and speed estimation with varying UAV altitude and video resolution
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A novel vehicle tracking and speed estimation with varying UAV altitude and video resolution

机译：具有不同UAV高度和视频分辨率的新型车辆跟踪和速度估计

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摘要

In this paper, a novel vehicle tracking and speed estimation method based on aerial videos is developed. The main objective of this research is to investigate how depth features of a vehicle extracted from aerial videos by a wide residual network could be used to realize accurate tracking for estimating the speed of the vehicle. The salient characteristics of the proposed method are: (1) Traffic analysis and robust vehicle detection are possible by virtue of the use of deep neural networks. (2) Employing the state-of-the-art object detector, namely the You Only Look Once (YOLO) network, a tracking-by-detection method is then designed to detect and track vehicles. (3) The error rate of data association is reduced by associating the tracking process with a vehicle re-identification algorithm whereby the motion features are combined with depth features of the vehicle. (4) Considering the varying Unmanned Aerial Vehicle (UAV) altitude and video resolution, a novel exponential mapping model of the vehicle speed from the pixel space to the real world is presented. The accuracy of speed estimation is effectively improved by employing the least squares algorithm to fit the measurement data. Simulation results and comparative studies with the state-of-the-art methods demonstrate superior performance of the proposed approach for vehicle tracking and speed estimation.
机译：在本文中，开发了一种基于航程视频的新型车辆跟踪和速度估计方法。本研究的主要目的是研究通过宽残余网络从航空视频中提取的车辆的深度特征可用于实现用于估计车辆速度的准确跟踪。所提出的方法的突出特性是：（1）由于使用深神经网络，可以使用流量分析和鲁棒车辆检测。 （2）采用最先进的对象检测器，即您只看一次（YOLO）网络，逐个检测方法被设计为检测和跟踪车辆。 （3）通过将跟踪过程与车辆重新识别算法相关联，可以将数据关联的误差率降低，其中运动特征与车辆的深度特征组合。 （4）考虑到不同的无人驾驶飞行器（UAV）高度和视频分辨率，提出了一种从像素空间到现实世界的车速的新型指数映射模型。通过采用最小二乘算法来符合测量数据，有效地改善了速度估计的准确性。仿真结果与最先进的方法的比较研究表明了车辆跟踪和速度估计方法的卓越性能。

著录项

  • 来源
    《International journal of remote sensing》 |2021年第12期|4437-4462|共26页
  • 作者

    Chen Yuqing; Zhao Dongyang; Er Meng Joo; Zhuang Yan; Hu Huosheng;

  • 作者单位

    Dalian Maritime Univ Sch Marine Elect Engn Inst Artificial Intelligence & Marine Robot Dalian Peoples R China;

    Dalian Maritime Univ Sch Marine Elect Engn Inst Artificial Intelligence & Marine Robot Dalian Peoples R China;

    Dalian Maritime Univ Sch Marine Elect Engn Inst Artificial Intelligence & Marine Robot Dalian Peoples R China;

    Dalian Univ Technol Sch Control Sci & Engn Dalian Peoples R China;

    Univ Essex Sch Comp Sci & Elect Engn Colchester Essex England;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    aerial video; vehicle detection; vehicle tracking; speed estimation;

    机译：空中视频;车辆检测;车辆跟踪;速度估计;

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