Incremental learning on trajectory clustering - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Book Sections Year : 2010

Incremental learning on trajectory clustering


Scene understanding corresponds to the real time process of perceiving, analysing and elaborating an interpretation of a 3D dynamic scene observed through a network of cameras. The whole challenge consists in managing this huge amount of information and in structuring all the knowledge. On-line Clustering is an efficient manner to process such huge amounts of data. On-line processing is indeed an important capability required to perform monitoring and behaviour analysis on a long-term basis. In this paper we show how a simple clustering algorithm can be tuned to perform on-line. The system works by finding the main trajectory patterns of people in the video. We present results obtained on real videos corresponding to the monitoring of the Toulouse airport in France.
Fichier principal
Vignette du fichier
SpringerBookChapter.pdf (1.76 Mo) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

inria-00503059 , version 1 (16-07-2010)


  • HAL Id : inria-00503059 , version 1


Jose Luis Patino Vilchis, François Bremond, Monique Thonnat. Incremental learning on trajectory clustering. Dr. Paolo Remagnino. Intelligent Paradigms in Safety and Security, Springer-Verlag, 2010. ⟨inria-00503059⟩


140 View
262 Download


Gmail Facebook X LinkedIn More