Time scales in video surveillance

Nathan Jacobs, Robert Pless

Research output: Contribution to journalArticlepeer-review

16 Scopus citations


Events in surveillance video occur over many time scales, but common approaches to background subtraction and video representation are implicitly based on a single temporal scale. In this work, we derive a set of causal filters which define a temporal scale-space representation for the activity at each pixel. This scale-space can be maintained and continuously updated in real time and, for static cameras viewing dynamic scenes, has several interesting properties. In particular, it directly characterizes interesting temporal features and supports approximate reconstruction of the video history under challenging noise conditions. The temporal scale-space grounds novel approaches to several applications, including a natural visualization tool to summarize recent video behavior in a single image, and a tool to directly report how long the object has been present in a scene without reexamining any video data.

Original languageEnglish
Article number4559593
Pages (from-to)1106-1113
Number of pages8
JournalIEEE Transactions on Circuits and Systems for Video Technology
Issue number8
StatePublished - Aug 2008


  • Background modeling
  • Change detection
  • Video analysis
  • Video surveillance

ASJC Scopus subject areas

  • Media Technology
  • Electrical and Electronic Engineering


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