Temporal templates for detecting the trajectories of moving vehicles

Hugo Jiménez, Joaquín Salas

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

8 Scopus citations

Abstract

In this study, we deal with the problem of detecting the trajectories of moving vehicles. We introduce a method, based on the spatio-temporal connectivity analysis, to extract the vehicles trajectories from temporal templates, spanned over a short period of time. Temporal templates are conformed with the successive images differences. The trajectories are computed using the centers of the blobs in the temporal template. A Kalman filter for a constant value with emphasis in the measurement uncertainty is used to smooth the result. The algorithm is tested extensively using a sequence took from tower overlooking a vehicular intersection. Our approach allow us to detect the vehicles trajectories without the need to construct a background model or using a sophisticated tracking strategy for the moving objects. Our experiments show that the scheme we propose is reliable, and fast.

Original languageEnglish
Title of host publicationAdvanced Concepts for Intelligent Vision Systems - 11th International Conference, ACIVS 2009, Proceedings
Pages485-493
Number of pages9
DOIs
StatePublished - 2009
Event11th International Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2009 - Bordeaux, France
Duration: 28 Sep 20092 Oct 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5807 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference11th International Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2009
Country/TerritoryFrance
CityBordeaux
Period28/09/092/10/09

Keywords

  • Temporal Templates
  • Tracking Flow
  • Traffic Surveillance
  • Vehicles Trajectories

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