Computer assisted prescreening of video streams for unusual activities

Project Details


The project investigated two novel computer-based image analysis processes to prescreen video sequences for abnormal or crime-oriented behaviour. The ultimate goal is to filter out image sequences where uninteresting normal activity is occurring, as well as the much easier sequences where nothing is occurring. The two applications to be investigated are:
1.Detecting, understanding and discriminating between similar types of interactions, such as two people fighting versus meeting and greeting.
2.Analysing crowd scenes, where tracking of individuals is only possible over short time periods. The goal is to discriminate between normal behaviour, such as people normally exiting from a football match, and abnormal behaviour, such as when people have to divert around an obstacle (fallen person, fight, etc).

Layman's description

The project showed it was possible to detect dangerous situations through the use of video data, such as dangerous overcrowding in crowds and fighting in street scenes.

Key findings

We successfully modeled crowd local disturbances and crowd blockages using a combination of optical flow and statistical modeling.
Fighting detection was also successful, based on a combination of person tracking and statistical modeling of properties of interactions.
Effective start/end date1/10/0431/03/08


  • EPSRC: £223,529.00


Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
  • Non Parametric Classification of Human Interaction

    Blunsden, S., Andrade, E. & Fisher, B., 2007, Pattern Recognition and Image Analysis: Third Iberian Conference, IbPRIA 2007, Girona, Spain, June 6-8, 2007, Proceedings, Part II. Springer-Verlag GmbH, p. 347-354 8 p. (Lecture Notes in Computer Science; vol. 4478).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Detection of Emergency Events in Crowded Scenes

    Andrade, E., Fisher, B. & Blunsden, S., 2006, Crime and Security, 2006. The Institution of Engineering and Technology Conference on . p. 528-533 6 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Hidden Markov Models for Optical Flow Analysis in Crowds

    Andrade, E., Blunsden, S. & Fisher, B., 2006, Pattern Recognition, 2006. ICPR 2006. 18th International Conference on. Institute of Electrical and Electronics Engineers (IEEE), p. 460-463 4 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution