Multi-robot Multiple Hypothesis Tracking for pedestrian tracking with detection uncertainty

Nicolas A. Tsokas, Kostas J. Kyriakopoulos

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

Abstract

The problem of tracking walking people with a team of moving robots is tackled in this paper. We extend the Multiple Hypothesis Tracking method so as to handle measurements coming from multiple sensors and to allow for one-to-many associations between targets and measurements. Derivation of hypotheses probabilities accounts for the overlapping fields of view of the robots sensors and for uncertainty in detection. In the context of two experiments involving people walking among moving robots, the successful integration of our tracking algorithm to a real-world scenario is assessed.

Original languageEnglish (US)
Title of host publication2011 19th Mediterranean Conference on Control and Automation, MED 2011
Pages315-320
Number of pages6
DOIs
StatePublished - 2011
Event2011 19th Mediterranean Conference on Control and Automation, MED 2011 - Corfu, Greece
Duration: Jun 20 2011Jun 23 2011

Publication series

Name2011 19th Mediterranean Conference on Control and Automation, MED 2011

Other

Other2011 19th Mediterranean Conference on Control and Automation, MED 2011
Country/TerritoryGreece
CityCorfu
Period6/20/116/23/11

Keywords

  • Multi-robot
  • multi-target tracking
  • multiple hypothesis tracking
  • people tracking

ASJC Scopus subject areas

  • Control and Systems Engineering

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