A mean-shift algorithm based autonomous visual tracking for micro aerial vehicles

Narsimlu Kemsaram, T.V. Rajini Kanth, Devendra Rao Guntupalli

Research output: Contribution to journalArticleAcademicpeer-review

12 Downloads (Pure)

Abstract

The main objective is to track the Ground Moving Target continuously with Mean-Shift Visual Tracking Algorithm from On-board Autonomous Visual Tracking System. On-board Autonomous Visual Tracking System contains Gimbaled Camera, Inertial Navigation System / Global Positioning System, Image Tracking Software, Micro Aerial Vehicle Guidance Law, Camera Control Law and Autopilot. A Mean-Shift Algorithm is incorporated in the Image Tracking Software. This Algorithm identifies and tracks the Ground Moving Target based on its 2D colour space histogram. A Graphical User Interface based tool was developed for simulation and test the Autonomous Visual Tracking with Mean-Shift Algorithm performance using MATLAB. The experimental results exhibits that the Mean-Shift Algorithm identifies and tracks the GMT very accurately
Original languageEnglish
Pages (from-to)362-369
Number of pages12
JournalInternational Journal of Recent Trends in Engineering & Research
Volume2
Issue number4
Publication statusPublished - Apr 2016
Externally publishedYes

Fingerprint

Antennas
Cameras
Inertial navigation systems
Electronic guidance systems
Graphical user interfaces
MATLAB
Global positioning system
Color

Cite this

@article{b6f26b32820a464fb97cd29698994ca5,
title = "A mean-shift algorithm based autonomous visual tracking for micro aerial vehicles",
abstract = "The main objective is to track the Ground Moving Target continuously with Mean-Shift Visual Tracking Algorithm from On-board Autonomous Visual Tracking System. On-board Autonomous Visual Tracking System contains Gimbaled Camera, Inertial Navigation System / Global Positioning System, Image Tracking Software, Micro Aerial Vehicle Guidance Law, Camera Control Law and Autopilot. A Mean-Shift Algorithm is incorporated in the Image Tracking Software. This Algorithm identifies and tracks the Ground Moving Target based on its 2D colour space histogram. A Graphical User Interface based tool was developed for simulation and test the Autonomous Visual Tracking with Mean-Shift Algorithm performance using MATLAB. The experimental results exhibits that the Mean-Shift Algorithm identifies and tracks the GMT very accurately",
author = "Narsimlu Kemsaram and {Rajini Kanth}, T.V. and Guntupalli, {Devendra Rao}",
year = "2016",
month = "4",
language = "English",
volume = "2",
pages = "362--369",
journal = "International Journal of Recent Trends in Engineering & Research",
issn = "2455-1457",
number = "4",

}

A mean-shift algorithm based autonomous visual tracking for micro aerial vehicles. / Kemsaram, Narsimlu; Rajini Kanth, T.V.; Guntupalli, Devendra Rao.

In: International Journal of Recent Trends in Engineering & Research, Vol. 2, No. 4, 04.2016, p. 362-369.

Research output: Contribution to journalArticleAcademicpeer-review

TY - JOUR

T1 - A mean-shift algorithm based autonomous visual tracking for micro aerial vehicles

AU - Kemsaram, Narsimlu

AU - Rajini Kanth, T.V.

AU - Guntupalli, Devendra Rao

PY - 2016/4

Y1 - 2016/4

N2 - The main objective is to track the Ground Moving Target continuously with Mean-Shift Visual Tracking Algorithm from On-board Autonomous Visual Tracking System. On-board Autonomous Visual Tracking System contains Gimbaled Camera, Inertial Navigation System / Global Positioning System, Image Tracking Software, Micro Aerial Vehicle Guidance Law, Camera Control Law and Autopilot. A Mean-Shift Algorithm is incorporated in the Image Tracking Software. This Algorithm identifies and tracks the Ground Moving Target based on its 2D colour space histogram. A Graphical User Interface based tool was developed for simulation and test the Autonomous Visual Tracking with Mean-Shift Algorithm performance using MATLAB. The experimental results exhibits that the Mean-Shift Algorithm identifies and tracks the GMT very accurately

AB - The main objective is to track the Ground Moving Target continuously with Mean-Shift Visual Tracking Algorithm from On-board Autonomous Visual Tracking System. On-board Autonomous Visual Tracking System contains Gimbaled Camera, Inertial Navigation System / Global Positioning System, Image Tracking Software, Micro Aerial Vehicle Guidance Law, Camera Control Law and Autopilot. A Mean-Shift Algorithm is incorporated in the Image Tracking Software. This Algorithm identifies and tracks the Ground Moving Target based on its 2D colour space histogram. A Graphical User Interface based tool was developed for simulation and test the Autonomous Visual Tracking with Mean-Shift Algorithm performance using MATLAB. The experimental results exhibits that the Mean-Shift Algorithm identifies and tracks the GMT very accurately

M3 - Article

VL - 2

SP - 362

EP - 369

JO - International Journal of Recent Trends in Engineering & Research

JF - International Journal of Recent Trends in Engineering & Research

SN - 2455-1457

IS - 4

ER -