A multi-level visual tracking algorithm for autonomous vehicles

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

doi:10.26483/ijarcs.v8i7.4421

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 language	English
Pages (from-to)	1156-1162
Number of pages	7
Journal	International Journal of Advanced Research in Computer Science
Volume	8
Issue number	7
DOIs	https://doi.org/10.26483/ijarcs.v8i7.4421
Publication status	Published - Aug 2017
Externally published	Yes

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10.26483/ijarcs.v8i7.4421

publishers versionFinal published version, 733 KBLicence: CC BY-NC-SA

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title = "A multi-level visual tracking algorithm for autonomous vehicles",

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.",

author = "Narsimlu Kemsaram and {Rajini Kanth}, T.V. and Guntupalli, {Devendra Rao} and Anil Kuvvarapu",

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AB - 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.

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A multi-level visual tracking algorithm for autonomous vehicles

Abstract

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