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Spatiotemporal retrieval of dynamic video object trajectories in geographical scenes
Transactions in GIS ( IF 2.568 ) Pub Date : 2020-10-20 , DOI: 10.1111/tgis.12696
Yujia Xie 1 , Meizhen Wang 2, 3, 4 , Xuejun Liu 2, 3, 4 , Ziran Wang 2, 3, 4, 5 , Bo Mao 1, 6 , Feiyue Wang 1 , Xiaozhi Wang 1
Affiliation  

Current studies on video trajectory retrieval focus on the retrieval and analysis of image content, neglecting the gap between the spatiotemporal continuity of retrieval conditions and the spatiotemporal discontinuity of multi‐camera video trajectories. In this study, we propose a method for the spatiotemporal retrieval of dynamic video object trajectories in geographic scenes. Based on the camera calibration, the proposed method organizes the scene, cameras, and trajectories, constructs the spatiotemporal constraints, and queries the trajectories using two measures: camera‐by‐camera retrieval and global trajectory retrieval. The proposed method was verified through experiments, and the results demonstrate that both measures can query trajectories effectively and reduce the spatiotemporal video review range under different spatiotemporal constraints. Furthermore, compared with camera‐by‐camera retrieval, global trajectory retrieval can reduce the spatiotemporal video review range further and return more accurate results. The proposed method may provide support for the spatial analysis and understanding of surveillance video data.

中文翻译:

地理场景中动态视频对象轨迹的时空检索

当前的视频轨迹检索研究集中在图像内容的检索和分析上,而忽略了检索条件的时空连续性与多摄像机视频轨迹的时空不连续之间的差距。在这项研究中,我们提出了一种在地理场景中动态视频对象轨迹的时空检索方法。基于摄像机标定,该方法对场景,摄像机和轨迹进行组织,构造时空约束,并使用以下两种方法查询轨迹:逐个摄像机检索和全局轨迹检索。通过实验验证了该方法的有效性,结果表明,在不同时空约束条件下,两种方法都可以有效地查询轨迹,减小时空视频的浏览范围。此外,与逐个摄像机检索相比,全局轨迹检索可以进一步减小时空视频查看范围,并返回更准确的结果。所提出的方法可以为监视视频数据的空间分析和理解提供支持。
更新日期:2020-10-20
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