A hybrid autonomous visual tracking algorithm for micro aerial vehicles

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

Research output: Contribution to journalArticleAcademicpeer-review

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Abstract

An efficient image tracking algorithm plays a major role in an autonomous surveillance and monitoring the environment from micro aerial vehicle. A hybrid autonomous visual tracking algorithm is proposed based on cam-shift and extended kalman filter estimator for micro aerial vehicle. The proposed algorithm identifies and tracks the ground moving target continuously, even ground moving target moves quickly, and the color of the other ground moving target or background similar to that of the ground moving target. A MATLAB based simulation tool is developed for determining the proposed algorithm performance. The results exhibit that the proposed algorithm tracks the ground moving target very accurately

Original languageEnglish
Pages (from-to)524-535
Number of pages12
JournalInternational Journal of Engineering Sciences & Research Technology
Volume5
Issue number8
DOIs
Publication statusPublished - Aug 2016
Externally publishedYes

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Antennas
Cams
Extended Kalman filters
MATLAB
Color
Monitoring

Cite this

Kemsaram, Narsimlu ; Rajini Kanth, T.V. ; Guntupalli, Devendra Rao ; Kuvvarapu, Anil. / A hybrid autonomous visual tracking algorithm for micro aerial vehicles. In: International Journal of Engineering Sciences & Research Technology. 2016 ; Vol. 5, No. 8. pp. 524-535.
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A hybrid autonomous visual tracking algorithm for micro aerial vehicles. / Kemsaram, Narsimlu; Rajini Kanth, T.V.; Guntupalli, Devendra Rao; Kuvvarapu, Anil.

In: International Journal of Engineering Sciences & Research Technology, Vol. 5, No. 8, 08.2016, p. 524-535.

Research output: Contribution to journalArticleAcademicpeer-review

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