A vision tracking system via color detection

Ruibing Jin; Jianliang Wang

doi:10.1109/ICCA.2016.7505387

A vision tracking system via color detection

Ruibing Jin, Jianliang Wang

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

3 Citations (Scopus)

Abstract

In this paper, a vision tracking system via color detection is presented. In this system, a monocular camera is used as a sensor to track and measure the relative pose of the target based on specified color detection with the help of four LED markers. Kalman filter is used in this system to predict the position of LED markers in the next frame of the camera image so as to decrease the area in which to search for the markers, it decreases the possibility of wrong detection. An (unmanned aerial vehicle) UAV is used as a platform to test the effectiveness of this system. Experimental results show that the proposed system can track the target (UAV) in a constant speed very well.

Original language	English
Title of host publication	12th IEEE International Conference on Control and Automation, ICCA 2016
Publisher	IEEE Computer Society
Pages	865-870
Number of pages	6
ISBN (Electronic)	9781509017386
DOIs	https://doi.org/10.1109/ICCA.2016.7505387
Publication status	Published - 7 Jul 2016
Externally published	Yes
Event	12th IEEE International Conference on Control and Automation, ICCA 2016 - Kathmandu, Nepal Duration: 1 Jun 2016 → 3 Jun 2016

Publication series

Name	IEEE International Conference on Control and Automation, ICCA
Volume	2016-July
ISSN (Print)	1948-3449
ISSN (Electronic)	1948-3457

Conference

Conference	12th IEEE International Conference on Control and Automation, ICCA 2016
Country/Territory	Nepal
City	Kathmandu
Period	1/06/16 → 3/06/16

ASJC Scopus subject areas

Artificial Intelligence
Computer Science Applications
Control and Systems Engineering
Electrical and Electronic Engineering
Industrial and Manufacturing Engineering

Access to Document

10.1109/ICCA.2016.7505387

Cite this

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title = "A vision tracking system via color detection",

abstract = "In this paper, a vision tracking system via color detection is presented. In this system, a monocular camera is used as a sensor to track and measure the relative pose of the target based on specified color detection with the help of four LED markers. Kalman filter is used in this system to predict the position of LED markers in the next frame of the camera image so as to decrease the area in which to search for the markers, it decreases the possibility of wrong detection. An (unmanned aerial vehicle) UAV is used as a platform to test the effectiveness of this system. Experimental results show that the proposed system can track the target (UAV) in a constant speed very well.",

author = "Ruibing Jin and Jianliang Wang",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 12th IEEE International Conference on Control and Automation, ICCA 2016 ; Conference date: 01-06-2016 Through 03-06-2016",

year = "2016",

month = jul,

day = "7",

doi = "10.1109/ICCA.2016.7505387",

language = "English",

series = "IEEE International Conference on Control and Automation, ICCA",

publisher = "IEEE Computer Society",

pages = "865--870",

booktitle = "12th IEEE International Conference on Control and Automation, ICCA 2016",

address = "United States",

}

Jin, R & Wang, J 2016, A vision tracking system via color detection. in 12th IEEE International Conference on Control and Automation, ICCA 2016., 7505387, IEEE International Conference on Control and Automation, ICCA, vol. 2016-July, IEEE Computer Society, pp. 865-870, 12th IEEE International Conference on Control and Automation, ICCA 2016, Kathmandu, Nepal, 1/06/16. https://doi.org/10.1109/ICCA.2016.7505387

A vision tracking system via color detection. / Jin, Ruibing; Wang, Jianliang.
12th IEEE International Conference on Control and Automation, ICCA 2016. IEEE Computer Society, 2016. p. 865-870 7505387 (IEEE International Conference on Control and Automation, ICCA; Vol. 2016-July).

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

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PY - 2016/7/7

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N2 - In this paper, a vision tracking system via color detection is presented. In this system, a monocular camera is used as a sensor to track and measure the relative pose of the target based on specified color detection with the help of four LED markers. Kalman filter is used in this system to predict the position of LED markers in the next frame of the camera image so as to decrease the area in which to search for the markers, it decreases the possibility of wrong detection. An (unmanned aerial vehicle) UAV is used as a platform to test the effectiveness of this system. Experimental results show that the proposed system can track the target (UAV) in a constant speed very well.

AB - In this paper, a vision tracking system via color detection is presented. In this system, a monocular camera is used as a sensor to track and measure the relative pose of the target based on specified color detection with the help of four LED markers. Kalman filter is used in this system to predict the position of LED markers in the next frame of the camera image so as to decrease the area in which to search for the markers, it decreases the possibility of wrong detection. An (unmanned aerial vehicle) UAV is used as a platform to test the effectiveness of this system. Experimental results show that the proposed system can track the target (UAV) in a constant speed very well.

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M3 - Conference contribution

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BT - 12th IEEE International Conference on Control and Automation, ICCA 2016

PB - IEEE Computer Society

T2 - 12th IEEE International Conference on Control and Automation, ICCA 2016

Y2 - 1 June 2016 through 3 June 2016

ER -

A vision tracking system via color detection

Abstract

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ASJC Scopus subject areas

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