A multi-level visual tracking algorithm for autonomous vehicles

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

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A multi-level visual tracking algorithm is proposed for autonomous vehicles based on mean-shift algorithm, cam-shift algorithm and extended kalman filter estimator. The proposed multi-level visual tracking algorithm is implemented and included in simulation to check its performance. Simulation results are captured after applying existing algorithms, proposed multi-level visual tracking algorithm and observed their performance. The simulated results show that the proposed multi-level visual tracking algorithm identifies and tracks the ground moving target efficiently.
Originele taal-2Engels
Pagina's (van-tot)1156-1162
Aantal pagina's7
TijdschriftInternational Journal of Advanced Research in Computer Science
Volume8
Nummer van het tijdschrift7
DOI's
StatusGepubliceerd - aug 2017
Extern gepubliceerdJa

Vingerafdruk

Cams
Extended Kalman filters

Citeer dit

Kemsaram, Narsimlu ; Rajini Kanth, T.V. ; Guntupalli, Devendra Rao ; Kuvvarapu, Anil. / A multi-level visual tracking algorithm for autonomous vehicles. In: International Journal of Advanced Research in Computer Science. 2017 ; Vol. 8, Nr. 7. blz. 1156-1162.
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A multi-level visual tracking algorithm for autonomous vehicles. / Kemsaram, Narsimlu; Rajini Kanth, T.V.; Guntupalli, Devendra Rao; Kuvvarapu, Anil.

In: International Journal of Advanced Research in Computer Science, Vol. 8, Nr. 7, 08.2017, blz. 1156-1162.

Onderzoeksoutput: Bijdrage aan tijdschriftTijdschriftartikelAcademicpeer review

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