Real-time 3D target tracking and localization for arbitrary camera geometries

Ashutosh P. Kulkarni, Glen P. Abousleman, Jennie Si

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

1 Scopus citations

Abstract

In this paper, we present a real-time 3-D tracking system which using two cameras with substantially arbitrary geometries. The primary goal of the proposed system is to capture incoming stereo vision feeds, examine and compare targets across the cameras, and using a derived camera calibration matrix, project them in real-world 3-D coordinates, in real time. The system is divided into two main components: Camera calibration, and tracking and cross-camera object matching. In the proposed system, algorithms such as 8-point feature matching form the basis for the camera calibration/pose estimation mechanism, while color histogram forms a robust feature for tracking across-camera The proposed system is robust and applicable to heterogeneous moving objects such as people, vehicles, and boats.

Original languageEnglish (US)
Title of host publicationSignal Processing, Sensor Fusion, and Target Recognition XVI
DOIs
StatePublished - Nov 15 2007
EventSignal Processing, Sensor Fusion, and Target Recognition XVI - Orlando, FL, United States
Duration: Apr 9 2007Apr 11 2007

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume6567
ISSN (Print)0277-786X

Other

OtherSignal Processing, Sensor Fusion, and Target Recognition XVI
Country/TerritoryUnited States
CityOrlando, FL
Period4/9/074/11/07

Keywords

  • 3-D target localization
  • Camera calibration
  • Tracking

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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