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Detection of Abrupt Changes in Spatial Relationships in Video Sequences

  • Abdalbassir Abou-ElailahEmail author
  • Valerie Gouet-Brunet
  • Isabelle Bloch
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9493)

Abstract

Detecting unusual events in video sequences is very challenging due to cluttered background, the difficulties of accurate extraction and tracking of moving objects, illumination change, etc. In this work, we focus on detecting strong changes in spatial relationships between moving objects in video sequences, with a limited knowledge of the objects. In this approach, the spatial relationships between two objects of interest are modeled using angle and distance histograms as examples. To evaluate the evolution of the spatial relationships during time, the distances between two angle or distance histograms at two different instants in time are estimated. In addition, a combination approach is proposed to combine the evolution of directional (angle) and metric (distance) relationships. Studying the evolution of the spatial relationships during time allows us to detect the ruptures in such spatial relationships. This study can constitute a promising step toward event detection in video sequences, with few a priori models on the objects.

Keywords

Spatial relationships Angle histogram Distances Fuzzy object representation Detection of ruptures Fusion 

Notes

Acknowledgements

This research is part of French ANR project DESCRIBE “Online event detection in video sequences using structural and Bayesian approaches”.

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Abdalbassir Abou-Elailah
    • 1
    • 2
    Email author
  • Valerie Gouet-Brunet
    • 2
  • Isabelle Bloch
    • 1
  1. 1.LTCI, CNRS, Télécom ParisTech, Université Paris-SaclayParisFrance
  2. 2.Université Paris-Est, IGN, SRIG, MATISSaint MandéFrance

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