Title: Outlier detection from vehicle trajectories to discover roaming events
Authors: Shen, Minxin
Liu, Duen-Ren
Shann, Shi-Han
資訊管理與財務金融系 註:原資管所+財金所
Department of Information Management and Finance
Keywords: Trajectory mining;Outlier detection;Crime investigation;Plate analysis
Issue Date: 10-Feb-2015
Abstract: Roaming, referring to the behavior of repeated observation of intended crime scenes before committing crimes, is a suspicious pattern often mentioned by experienced police investigators, but still remains a vague concept which needs to be well realized in video surveillance systems. This work first describes the scenario of roaming behaviors related to planned crimes, and then derives formal specifications for detecting suspicious roaming events from vehicle trajectories. Consequently, algorithms are designed for rapidly sorting out potential outliers and thoroughly examining their suspicious intention through circling activities, relative driving speed and time dispersion. Roaming trajectories and relevant trajectories are finally grouped into events and appropriately ranked. Furthermore, preliminary experiments and illustrative examples on synthetic data demonstrate the feasibility of our methods. The proposed approach enhances conventional vehicle plate analysis so that it becomes capable of discovering complex criminal behaviors and hence increasing investigation performance and decision quality. (C) 2014 Elsevier Inc. All rights reserved.
URI: http://dx.doi.org/10.1016/j.ins.2014.09.037
ISSN: 0020-0255
DOI: 10.1016/j.ins.2014.09.037
Volume: 294
Begin Page: 242
End Page: 254
Appears in Collections:Articles