Narsimlu, K;
(2017)
A multi-level visual tracking algorithm for autonomous vehicles.
International Journal of Advanced Research in Computer Science
, 8
(7)
pp. 1156-1162.
10.26483/ijarcs.v8i7.4421.
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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.
| Type: | Article |
|---|---|
| Title: | A multi-level visual tracking algorithm for autonomous vehicles |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.26483/ijarcs.v8i7.4421 |
| Publisher version: | http://dx.doi.org/10.26483/ijarcs.v8i7.4421 |
| Language: | English |
| Additional information: | Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work The journal allows the author(s) to retain publishing rights without restrictions. The journal allows the author(s) to hold the copyright without restrictions. |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10187033 |
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