A multi-level visual tracking algorithm for autonomous vehicles

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

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Abstract

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.
Original languageEnglish
Pages (from-to)1156-1162
Number of pages7
JournalInternational Journal of Advanced Research in Computer Science
Volume8
Issue number7
DOIs
Publication statusPublished - Aug 2017
Externally publishedYes

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