Real-time scheme for 3-dimensional localizing and tracking of people in multiple camera settings

Moonsub Byeon, Sangdoo Yun, Youngmin Ro, Daeung Jo, Kikyung Kim, Jin Young Choi

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

1 Scopus citations

Abstract

This paper proposes a real-time multi-camera system that solves three-dimensional localizing and tracking of people. Unlike the existing multi-camera system, the proposed system is designed to achieve real-time performance and operate in an online manner. The proposed system adopts computationally efficient features to detect people and performs data association of the detections for real-time tracking. The online multi-camera data association problem is formulated as multi-dimensional assignment problem and solved by the proposed approximated algorithm using random splitting and re-merging operations for real-time operation. Through evaluation of the challenging multi-camera datasets, the proposed multi-camera system achieves a competitive performance with five times faster speed than the state-of-the-art methods.

Original languageEnglish
Title of host publicationICCAS 2017 - 2017 17th International Conference on Control, Automation and Systems - Proceedings
PublisherIEEE Computer Society
Pages239-244
Number of pages6
ISBN (Electronic)9788993215137
DOIs
StatePublished - 13 Dec 2017
Event17th International Conference on Control, Automation and Systems, ICCAS 2017 - Jeju, Korea, Republic of
Duration: 18 Oct 201721 Oct 2017

Publication series

NameInternational Conference on Control, Automation and Systems
Volume2017-October
ISSN (Print)1598-7833

Conference

Conference17th International Conference on Control, Automation and Systems, ICCAS 2017
Country/TerritoryKorea, Republic of
CityJeju
Period18/10/1721/10/17

Keywords

  • 3D localizing and tracking
  • Multi-camera
  • Multi-target tracking
  • Real-time

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