@INPROCEEDINGS{Xu:SKIMA2017,
author={S. {Xu} and E. S. L. {Ho} and N. {Aslam} and H. P. H. {Shum}},
booktitle={2017 11th International Conference on Software, Knowledge, Information Management and Applications (SKIMA)},
title={Unsupervised abnormal behaviour detection with overhead crowd video},
year={2017},
volume={},
number={},
pages={1-6},
keywords={behavioural sciences computing;closed circuit television;image colour analysis;image motion analysis;learning (artificial intelligence);object detection;pattern clustering;security;video surveillance;unsupervised abnormal behaviour detection;overhead crowd video;public areas;pedestrians;abnormal movement trajectories;data-driven approach;overhead video;semiautomatic manner;abnormal trajectories detection algorithm;RGB video;closed-circuit television systems;CCTV;training data annotations;automatic security monitoring;Trajectory;Security;Databases;Feature extraction;Monitoring;Clustering algorithms;Mathematical model},
doi={10.1109/SKIMA.2017.8294092},
ISSN={2573-3214},
month={Dec},}