Calibration of asynchronous smart phone cameras from moving objects

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

doi:10.1117/12.2182946

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 proceeding › Conference contribution

Abstract

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 language	English
Title of host publication	Proceedings of SPIE - The International Society for Optical Engineering
Publisher	SPIE
Volume	9534
ISBN (Print)	9781628416992
DOIs	https://doi.org/10.1117/12.2182946
Publication status	Published - 30 Apr 2015
Event	12th International Conference on Quality Control by Artificial Vision - Le Creusot, France Duration: 3 Jun 2015 → 5 Jun 2015

Conference

Conference	12th International Conference on Quality Control by Artificial Vision
Country/Territory	France
City	Le Creusot
Period	3/06/15 → 5/06/15

Keywords

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

Access to Document

10.1117/12.2182946

Cite this

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title = "Calibration of asynchronous smart phone cameras from moving objects",

abstract = "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.",

keywords = "Camera calibration, PHD filter, Target tracking, Triangulation",

author = "Oksana Hagen and Klemen Isteni{\v c} and Vibhav Bharti and Dhali, {Maruf Ahmed} and Daniel Barmaimon and Jeremie Houssineau and Daniel Clark",

year = "2015",

month = apr,

day = "30",

doi = "10.1117/12.2182946",

language = "English",

isbn = "9781628416992",

volume = "9534",

booktitle = "Proceedings of SPIE - The International Society for Optical Engineering",

publisher = "SPIE",

address = "United States",

note = "12th International Conference on Quality Control by Artificial Vision ; Conference date: 03-06-2015 Through 05-06-2015",

}

Hagen, O, Istenič, K, Bharti, V, Dhali, MA, Barmaimon, D, Houssineau, J & Clark, D 2015, Calibration of asynchronous smart phone cameras from moving objects. in Proceedings of SPIE - The International Society for Optical Engineering. vol. 9534, 953419, SPIE, 12th International Conference on Quality Control by Artificial Vision, Le Creusot, France, 3/06/15. https://doi.org/10.1117/12.2182946

TY - GEN

T1 - Calibration of asynchronous smart phone cameras from moving objects

AU - Hagen, Oksana

AU - Istenič, Klemen

AU - Bharti, Vibhav

AU - Dhali, Maruf Ahmed

AU - Barmaimon, Daniel

AU - Houssineau, Jeremie

AU - Clark, Daniel

PY - 2015/4/30

Y1 - 2015/4/30

N2 - 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.

AB - 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.

KW - Camera calibration

KW - PHD filter

KW - Target tracking

KW - Triangulation

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DO - 10.1117/12.2182946

M3 - Conference contribution

AN - SCOPUS:84931451999

SN - 9781628416992

VL - 9534

BT - Proceedings of SPIE - The International Society for Optical Engineering

PB - SPIE

T2 - 12th International Conference on Quality Control by Artificial Vision

Y2 - 3 June 2015 through 5 June 2015

ER -

Calibration of asynchronous smart phone cameras from moving objects

Abstract

Conference

Keywords

ASJC Scopus subject areas

Access to Document

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