Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
535711 | Pattern Recognition Letters | 2006 | 8 Pages |
Abstract
In this paper, we propose a trajectory clustering algorithm suited for video surveillance systems. Trajectories are clustered on-line, as the data are collected, and clusters are organized in a tree-like structure that, augmented with probability information, can be used to perform behaviour analysis, since it allows the identification of anomalous events.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Vision and Pattern Recognition
Authors
C. Piciarelli, G.L. Foresti,