Applying multi layer homography for multi camera person tracking

Dejan Arsić, Encho Hristov, Nicolas Lehment, Benedikt Hörnler, Björn Schuller, Gerhard Rigoll

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

34 Scopus citations

Abstract

CCTV systems have been introduced in most public spaces in order to increase security. Video outputs are observed by human operators if possible but mostly used as a forensic tool. Therefore it seems desirable to automate video surveillance systems, in order to be able to detect potentially dangerous situations as soon as possible. Multi camera systems have seem to be the prerequisite for huge spaces where frequently occlusions appear. In this paper we will present a system which robustly detects and tracks objects in a multi camera environment and performs a subsequent behavioral analysis based on luggage related events.

Original languageEnglish
Title of host publication2008 2nd ACM/IEEE International Conference on Distributed Smart Cameras, ICDSC 2008
DOIs
StatePublished - 2008
Event2008 2nd ACM/IEEE International Conference on Distributed Smart Cameras, ICDSC 2008 - Palo Alto, CA, United States
Duration: 7 Sep 200811 Sep 2008

Publication series

Name2008 2nd ACM/IEEE International Conference on Distributed Smart Cameras, ICDSC 2008

Conference

Conference2008 2nd ACM/IEEE International Conference on Distributed Smart Cameras, ICDSC 2008
Country/TerritoryUnited States
CityPalo Alto, CA
Period7/09/0811/09/08

Keywords

  • Multi camera tracking
  • Multi layer homography

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