Real Time Motion Changes for New Event Detection and Recognition

  • Konstantinos Avgerinakis
  • Alexia Briassouli
  • Ioannis Kompatsiaris
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6468)


An original approach for real time detection of changes in motion is presented, for detecting and recognizing events. Current video change detection focuses on shot changes, based on appearance, not motion. Changes in motion are detected in pixels that are found to be active, and this motion is input to sequential change detection, which detects changes in real time. Statistical modeling of the motion data shows that the Laplace provides the most accurate fit. This leads to reliable detection of changes in motion for videos where shot change detection is shown to fail. Once a change is detected, the event is recognized based on motion statistics, size, density of active pixels. Experiments show that the proposed method finds meaningful changes, and reliable recognition.


False Alarm Activity Area Change Detection Laplace Distribution Illumination Variation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Konstantinos Avgerinakis
    • 1
  • Alexia Briassouli
    • 1
  • Ioannis Kompatsiaris
    • 1
  1. 1.Informatics and Telematics Institute, Centre for Research and TechnologyThessalonikiGreece

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