Calibration of asynchronous smart phone cameras from moving objects

Oksana Hagen, Klemen Istenič, Vibhav Bharti, Maruf Ahmed Dhali, Daniel Barmaimon*, Jeremie Houssineau, Daniel Clark

*Corresponding author for this work

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


Calibrating multiple cameras is a fundamental prerequisite for many Computer Vision applications. Typically this involves using a pair of identical synchronized industrial or high-end consumer cameras. This paper considers an application on a pair of low-cost portable cameras with different parameters that are found in smart phones. This paper addresses the issues of acquisition, detection of moving objects, dynamic camera registration and tracking of arbitrary number of targets. The acquisition of data is performed using two standard smart phone cameras and later processed using detections of moving objects in the scene. The registration of cameras onto the same world reference frame is performed using a recently developed method for camera calibration using a disparity space parameterisation and the single-cluster PHD filter.

Original languageEnglish
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
ISBN (Print)9781628416992
Publication statusPublished - 30 Apr 2015
Event12th International Conference on Quality Control by Artificial Vision - Le Creusot, France
Duration: 3 Jun 20155 Jun 2015


Conference12th International Conference on Quality Control by Artificial Vision
CityLe Creusot


  • Camera calibration
  • PHD filter
  • Target tracking
  • Triangulation

ASJC Scopus subject areas

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


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