Real-time monocular people tracking by sequential Monte-Carlo filtering

Christian A.L. Waechter, Daniel Pustka, Gudrun J. Klinker

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

2 Scopus citations

Abstract

We present a solution to the people tracking problem using a monocular vision approach from a bird's eye view and Sequential Monte-Carlo Filtering. Each tracked human is represented by an individual Particle Filter using spheroids as a three-dimensional approximation to the shape of the upstanding human body. We use the bearings-only model as the state update function for the particles. Our measurement likelihood function to estimate the probability of each particle is imitating the image formation process. This involves also partial occlusion by dynamic movements from other humans within neighbored areas. Due to algorithmic optimization the system is real-time capable and therefore not only limited to surveillance or human motion analysis. It could rather be used for Human-Computer-Interaction (HCI) and indoor location. To demonstrate this capabilities we evaluated the accuracy of the system and show the robustness in different levels of difficulty.

Original languageEnglish
Title of host publicationMIRAGE 2013 - Proceedings of the 6th International Conference on Computer Vision / Computer Graphics Collaboration Techniques and Applications
DOIs
StatePublished - 2013
Externally publishedYes
Event6th International Conference on Computer Vision / Computer Graphics Collaboration Techniques and Applications, MIRAGE 2013 - Berlin, Germany
Duration: 6 Jun 20137 Jun 2013

Publication series

NameACM International Conference Proceeding Series

Conference

Conference6th International Conference on Computer Vision / Computer Graphics Collaboration Techniques and Applications, MIRAGE 2013
Country/TerritoryGermany
CityBerlin
Period6/06/137/06/13

Keywords

  • particle filter
  • people tracking
  • realtime
  • sensor fusion

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