Distinguishing suspicious actions in long-distance surveillance

Guy Hebe, Eli Chen, Yitzhak Yitzhaky

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


Human action classification distinguishes different human behaviors at a video signal. Suspicious behavior can be defined by the user, and in long distance imaging it may include bending the body during walking or crawling, in contrast to regular walking for instance. When imaging is performed through relatively long distance, some difficulties occur which affect the performances regular action recognition tasks. The degradation sources that include turbulence and aerosols in the atmosphere cause blur and spatiotemporal-varying distortions (image dancing). These effects become more significant as the imaging distance increases and as the sizes of the objects of interest in the image are smaller. The process of action recognition is usually a part of surveillance system that naturally includes a detection of the moving objects as a first step, followed by tracking them in the video sequence. In this study, we first detect and track moving objects in long-distance horizontal imaging, and then we examine dynamic spatio-temporal (motion and shape) characteristics of correctly detected moving objects. According to such characteristics. We construct features that characterize different actions for such imaging conditions, and distinguish suspicious from non-suspicious actions, based on these characteristics.

Original languageEnglish
Title of host publicationOptics and Photonics for Counterterrorism, Crime Fighting, and Defence X; and Optical Materials and Biomaterials in Security and Defence Systems Technology XI
EditorsDouglas Burgess, Harbinder Rana, Roberto Zamboni, Attila A. Szep, Gari Owen, Francois Kajzar
ISBN (Electronic)9781628413168
StatePublished - 2014
Externally publishedYes
EventOptics and Photonics for Counterterrorism, Crime Fighting, and Defence X - Amsterdam, Netherlands
Duration: 22 Sep 201423 Sep 2014

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X


ConferenceOptics and Photonics for Counterterrorism, Crime Fighting, and Defence X

Bibliographical note

Publisher Copyright:
© 2014 SPIE.


  • Action recognition
  • Automatic surveillance
  • Long-distance imaging
  • Moving object tracking


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