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Automatic Vacant Parking Places Management System Using Multicamera Vehicle Detection

机译:基于多摄像机车辆检测的自动空车位管理系统

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This paper presents a multicamera system for vehicles detection and their corresponding mapping into the parking spots of a parking lot. Approaches from the state-of-theart system, which work properly in controlled scenarios, have been validated using small amount of sequences and without more challenging realistic conditions (illumination changes and different weather conditions). On the other hand, most of them are not complete systems, but provide only parts of them, usually detectors. The proposed system has been designed for realistic scenarios considering different cases of occlusion, illumination changes, and different climatic conditions; a real scenario (the International Pittsburgh Airport parking lot) has been targeted with the condition that existing parking security cameras can be used, avoiding the deployment of new cameras or other sensors infrastructures. For design and validation, a new multicamera data set has been recorded. The system is based on existing object detectors (the results of two of them are shown) and different proposed postprocessing stages. The results clearly show that the proposed system works correctly in challenging scenarios including almost total occlusions, illumination changes, and different weather conditions.
机译:本文提出了一种用于车辆检测的多摄像机系统,并将其对应映射到停车场的停车位。最新技术的方法可以在受控的情况下正常工作,已经使用少量序列进行了验证,并且没有更具挑战性的现实条件(光照变化和不同的天气条件)。另一方面,它们中的大多数不是完整的系统,而仅提供其中的一部分,通常是探测器。拟议的系统是针对现实情况设计的,考虑了不同的遮挡情况,光照变化和不同的气候条件;实际场景(国际匹兹堡机场停车场)的目标是可以使用现有的停车监控摄像头,避免部署新的摄像头或其他传感器基础设施。为了进行设计和验证,已记录了一个新的多相机数据集。该系统基于现有的对象检测器(显示了其中两个的结果)和建议的不同后处理阶段。结果清楚地表明,所提出的系统可在具有挑战性的场景中正常工作,包括几乎完全遮挡,照明变化以及不同的天气情况。

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