Real-time visual tracking using geometric active contours for the navigation and control of UAVs

Jincheol Ha; Eric N. Johnson; Allen Tannenbaum

doi:10.1109/ACC.2007.4282962

Real-time visual tracking using geometric active contours for the navigation and control of UAVs

Jincheol Ha, Eric N. Johnson, Allen Tannenbaum

Aerospace Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

9 Scopus citations

Abstract

Visual tracking is an important component in the navigation and control of unmanned aerial vehicles (UAVs). This paper is concerned with the visual tracking problem for the navigation and control of UAVs and focuses on real-time image processing methods. We review previous research based on geometric active contours which are automatic processes to track object boundaries in an image. Test results and some limitations of the previous tracking system are discussed. Then, a fast and robust implementation of the Chan-Vese active contour model is proposed to overcome these limitations.

Original language	English (US)
Title of host publication	Proceedings of the 2007 American Control Conference, ACC
Pages	365-370
Number of pages	6
DOIs	https://doi.org/10.1109/ACC.2007.4282962
State	Published - 2007
Event	2007 American Control Conference, ACC - New York, NY, United States Duration: Jul 9 2007 → Jul 13 2007

Publication series

Name	Proceedings of the American Control Conference
ISSN (Print)	0743-1619

Other

Other	2007 American Control Conference, ACC
Country/Territory	United States
City	New York, NY
Period	7/9/07 → 7/13/07

All Science Journal Classification (ASJC) codes

Electrical and Electronic Engineering

Access to Document

10.1109/ACC.2007.4282962

Cite this

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title = "Real-time visual tracking using geometric active contours for the navigation and control of UAVs",

abstract = "Visual tracking is an important component in the navigation and control of unmanned aerial vehicles (UAVs). This paper is concerned with the visual tracking problem for the navigation and control of UAVs and focuses on real-time image processing methods. We review previous research based on geometric active contours which are automatic processes to track object boundaries in an image. Test results and some limitations of the previous tracking system are discussed. Then, a fast and robust implementation of the Chan-Vese active contour model is proposed to overcome these limitations.",

author = "Jincheol Ha and Johnson, {Eric N.} and Allen Tannenbaum",

year = "2007",

doi = "10.1109/ACC.2007.4282962",

language = "English (US)",

isbn = "1424409888",

series = "Proceedings of the American Control Conference",

pages = "365--370",

booktitle = "Proceedings of the 2007 American Control Conference, ACC",

note = "2007 American Control Conference, ACC ; Conference date: 09-07-2007 Through 13-07-2007",

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Ha, J, Johnson, EN & Tannenbaum, A 2007, Real-time visual tracking using geometric active contours for the navigation and control of UAVs. in Proceedings of the 2007 American Control Conference, ACC., 4282962, Proceedings of the American Control Conference, pp. 365-370, 2007 American Control Conference, ACC, New York, NY, United States, 7/9/07. https://doi.org/10.1109/ACC.2007.4282962

Real-time visual tracking using geometric active contours for the navigation and control of UAVs. / Ha, Jincheol; Johnson, Eric N.; Tannenbaum, Allen.
Proceedings of the 2007 American Control Conference, ACC. 2007. p. 365-370 4282962 (Proceedings of the American Control Conference).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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N2 - Visual tracking is an important component in the navigation and control of unmanned aerial vehicles (UAVs). This paper is concerned with the visual tracking problem for the navigation and control of UAVs and focuses on real-time image processing methods. We review previous research based on geometric active contours which are automatic processes to track object boundaries in an image. Test results and some limitations of the previous tracking system are discussed. Then, a fast and robust implementation of the Chan-Vese active contour model is proposed to overcome these limitations.

AB - Visual tracking is an important component in the navigation and control of unmanned aerial vehicles (UAVs). This paper is concerned with the visual tracking problem for the navigation and control of UAVs and focuses on real-time image processing methods. We review previous research based on geometric active contours which are automatic processes to track object boundaries in an image. Test results and some limitations of the previous tracking system are discussed. Then, a fast and robust implementation of the Chan-Vese active contour model is proposed to overcome these limitations.

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Real-time visual tracking using geometric active contours for the navigation and control of UAVs

Abstract

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