A New Dissimilarity Measure for Trajectories with Applications in Anomaly Detection

  • Dustin L. Espinosa-Isidrón
  • Edel B. García-Reyes
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6419)

Abstract

Trajectory clustering has been used to very effectively in the detection of anomalous behavior in video sequences. A key point in trajectory clustering is how to measure the (dis)similarity between two trajectories. This paper deals with a new dissimilarity measure for trajectory clustering, giving the same importance to differences and similarities between the trajectories. Experimental results in the task of anomalous detection via hierarchical clustering shows the validity of the proposed approach.

Keywords

Trajectory Clustering Dissimilarity Anomaly Detection 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Dustin L. Espinosa-Isidrón
    • 1
  • Edel B. García-Reyes
    • 1
  1. 1.Advanced Technologies Application Center (CENATAV)PlayaCuba

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