As a variety of video surveillance devices such as CCTV, drones, and car dashboard cameras have become popular, numerous studies have been conducted regarding the effective enforcement of security and surveillance based on video analysis. In particular, in car-related surveillance, car tracking is the most challenging task. One early approach to accomplish such a task was to analyze frames from different video sources separately. Considering the shooting range of the bulk of video devices, the outcome from the analysis of single video source is highly limited. To obtain more comprehensive information for car tacking, a set of video sources should be considered together and the relevant information should be integrated according to spatial and temporal constraints. Therefore, in this study, we propose a real-time car tracking system based on surveillance videos from diverse devices including CCTV, dashboard cameras, and drones. For scalability and fault tolerance, our system is built on a distributed processing framework and comprises a Frame Distributor, a Feature Extractor, and an Information Manager. The Frame Distributor is responsible for distributing the video frames from various devices to the processing nodes. The Feature Extractor extracts principal vehicle features such as plate number, location, and time from each frame. The Information Manager stores all the features into a database and handles user requests by collecting relevant information from the feature database. To illustrate the effectiveness of our proposed system, we implemented a prototype system and performed a number of experiments. We report some of the results.

中文翻译：

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基于监控视频的实时汽车跟踪系统

随着诸如CCTV，无人机和汽车仪表盘摄像机之类的各种视频监视设备的普及，基于视频分析对安全和监视的有效实施进行了大量研究。特别是在与汽车相关的监视中，汽车跟踪是最具挑战性的任务。一种完成此任务的早期方法是分别分析来自不同视频源的帧。考虑到大多数视频设备的拍摄范围，单个视频源的分析结果非常有限。为了获得更全面的信息，应将一组视频源一起考虑，并应根据空间和时间限制整合相关信息。因此，在这项研究中 我们提出了一种实时汽车跟踪系统，该系统基于来自CCTV，仪表板摄像头和无人机等各种设备的监控视频。为了实现可伸缩性和容错能力，我们的系统建立在分布式处理框架上，并包括一个框架分配器，一个功能提取器和一个信息管理器。帧分配器负责将视频帧从各种设备分配到处理节点。特征提取器从每个帧中提取车辆的主要特征，例如车牌号，位置和时间。信息管理器将所有功能部件存储到数据库中，并通过从功能部件数据库中收集相关信息来处理用户请求。为了说明我们提出的系统的有效性，我们实施了原型系统并进行了许多实验。