%0 Journal Article %T Real time trajectory anomaly detection method and its application
实时异常轨迹检测方法及其应用 %A 夏英 %A 刘申艺 %J 重庆邮电大学学报(自然科学版) %D 2011 %I %X Trajectory of moving object can be acquired by using GPS-embedded mobile terminal which can be used for analysing moving patterns. In many fields such as public transportation, medical treatment and logistics service, the trajectories of moving objects are constrained by road network and mostly pre-defined. Considering that deviating from the normal trajectory might imply some problems, it is necessary to detect it in real time. From the view of temporal sequence analysis, this paper proposes a real time trajectory anomaly detection algorithm. During the valid detection period, partial sequence of the real trajectory is dynamic selected and the scope of normal trajectory is adjusted correspondingly, and the improved modified Hausdorff distance is used to reflect the degree of deviation. Experiments show that the proposed algorithm compared with the conventional map matching method is more efficient in accuracy and realtime. %K moving object %K trajectory %K anomaly detection %K Hausdorff distance
移动对象 %K 轨迹 %K 异常检测 %K Hausdorff距离 %U http://www.alljournals.cn/get_abstract_url.aspx?pcid=01BA20E8BA813E1908F3698710BBFEFEE816345F465FEBA5&cid=96E6E851B5104576C2DD9FC1FBCB69EF&jid=5C2694A2E5629ECD6B59D7B28C6937AD&aid=8A9892E12714AC7FC4412D76A6658913&yid=9377ED8094509821&vid=EA389574707BDED3&iid=E158A972A605785F&sid=C4490A71BEB872FA&eid=A03A15CF5604A8B0&journal_id=1673-825X&journal_name=重庆邮电大学学报(自然科学版)&referenced_num=0&reference_num=6