Conference paper

 
Pešek, M.: Methods for Trajectory Outlier Detection in Surveillance Video, In: Proceedings of the 18th Conference STUDENT EEICT 2012, Brno, CZ, VUT v Brně, 2012, p. 474-478, ISBN 978-80-214-4462-1
Publication language:english
Original title:Methods for Trajectory Outlier Detection in Surveillance Video
Title (cs):Metody pro detekci odlehlých trajektorií v dohledovém videu
Pages:474-478
Proceedings:Proceedings of the 18th Conference STUDENT EEICT 2012
Conference:Student EEICT 2012
Series:Volume 3
Place:Brno, CZ
Year:2012
URL:http://www.feec.vutbr.cz/EEICT/2012/sbornik/03doktorskeprojekty/11inteligentnisystemy/03-xpesek07.pdf
ISBN:978-80-214-4462-1
Publisher:Brno University of Technology
URL:http://www.feec.vutbr.cz/EEICT/2012/sbornik/03doktorskeprojekty/11inteligentnisystemy/03-xpesek07.pdf [PDF]
Keywords
data mining, outlier detection, moving objects data, trajectory, surveillance video, TOP-EYE, GMM
Annotation
Outlier detection in trajectory data extracted from surveillance video is a useful data analysis task, which can reveal anomalous or suspicious behaviour of moving objects. This paper deals with the description, evaluation and comparision of two methods for the trajectory outlier detection. Firstly, TOP-EYE algorithm, which gradually computes and accumulates outlying score of a trajectory. Secondly, a model-based method which uses the Gaussian mixture model (GMM) and identifies trajectories not following the learned model as outliers.
BibTeX:
@INPROCEEDINGS{
   author = {Martin Pešek},
   title = {Methods for Trajectory Outlier Detection in Surveillance
	Video},
   pages = {474--478},
   booktitle = {Proceedings of the 18th Conference STUDENT EEICT 2012},
   series = {Volume 3},
   year = {2012},
   location = {Brno, CZ},
   publisher = {Brno University of Technology},
   ISBN = {978-80-214-4462-1},
   language = {english},
   url = {http://www.fit.vutbr.cz/research/view_pub.php?id=9930}
}