高分辨率多相机车辆追踪数据集，还原真实立交场景挑战。
RoundaboutHD: High-Resolution Real-World Urban Environment Benchmark for Multi-Camera Vehicle Tracking
- 四台4K摄像头捕捉真实立交车流，跨视角关联丰富。
- 覆盖512个车辆身份，含严重遮挡与非线性运动等复杂情况。
- 适合做多相机追踪、车辆重识别和智慧城市应用研究。
多相机车辆追踪（MCVT）在智慧城市建设中具有重要潜力，如异常检测、交通密度估计和可疑车辆追踪。然而现有公开数据集存在场景过于简单、画质低、条件单一等问题，导致学术研究与真实场景之间存在显著差距。为此，我们提出RoundaboutHD，一个专为真实立交场景设计的高分辨率多相机车辆追踪基准数据集。该数据集包含4台非重叠、4K分辨率（15帧/秒）摄像头拍摄的40分钟标注视频，共标注512个独立车辆身份，提供丰富的跨视角关联信息。数据具备时间一致性，并引入更复杂的遮挡和非线性运动挑战。除完整MCVT数据外，还提供用于目标检测、单相机追踪及图像级车辆重识别（ReID）的子集。数据集包含车辆型号、相机建模与几何信息，支持深入分析。我们提供了车辆检测、单相机追踪、图像级车辆重识别及多相机追踪的基线结果。数据集与评估代码已开源：https://github.com/siri-rouser/RoundaboutHD.git
原文摘要 · Abstract (English)
The multi-camera vehicle tracking (MCVT) framework holds significant potential for smart city applications, including anomaly detection, traffic density estimation, and suspect vehicle tracking. However, current publicly available datasets exhibit limitations, such as overly simplistic scenarios, low-resolution footage, and insufficiently diverse conditions, creating a considerable gap between academic research and real-world scenario. To fill this gap, we introduce RoundaboutHD, a comprehensive, high-resolution multi-camera vehicle tracking benchmark dataset specifically designed to represent real-world roundabout scenarios. RoundaboutHD provides a total of 40 minutes of labelled video footage captured by four non-overlapping, high-resolution (4K resolution, 15 fps) cameras. In total, 512 unique vehicle identities are annotated across different camera views, offering rich cross-camera association data. RoundaboutHD offers temporal consistency video footage and enhanced challenges, including increased occlusions and nonlinear movement inside the roundabout. In addition to the full MCVT dataset, several subsets are also available for object detection, single camera tracking, and image-based vehicle re-identification (ReID) tasks. Vehicle model information and camera modelling/ geometry information are also included to support further analysis. We provide baseline results for vehicle detection, single-camera tracking, image-based vehicle re-identification, and multi-camera tracking. The dataset and the evaluation code are publicly available at: https://github.com/siri-rouser/RoundaboutHD.git
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