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Unusual Activity Analysis in Video Sequences

  • Ayesha Choudhary
  • Santanu Chaudhury
  • Subhashis Banerjee
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4482)

Abstract

We present a unique representation scheme for events in an area under surveillance, which provides a mechanism to analyze videos from multiple perspectives for unusual activity analysis. We propose clustering in event component spaces and define algebraic operations on these clusters to find co-occurrences of event components. A usualness measure for clusters is proposed that not only gives a measure on how usual or unusual an activity is, but also a basis for analyzing and predicting the possibly usual or unusual activities that can occur in the surveillance region.

Keywords

Clustering Unsupervised Learning Unusual Activity Analysis Event Recognition 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Ayesha Choudhary
    • 1
  • Santanu Chaudhury
    • 2
  • Subhashis Banerjee
    • 1
  1. 1.Department of Computer Science and Engineering, Indian Institute of Technology Delhi, New DelhiIndia
  2. 2.Department of Electrical Engineering, Indian Institute of Technology Delhi, New DelhiIndia

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