Correlation Filter Based Visual Trackers for Person Pursuit Using a Low-Cost Quadrotor
Haag K, Deitsch S, Gallwitz F (2015)
Publication Language: English
Publication Type: Conference contribution, Conference Contribution
Publication year: 2015
Publisher: IEEE
Edited Volumes: 2015 15th International Conference on Innovations for Community Services, I4CS 2015
Pages Range: 1-8
Event location: Nuremberg, Germany
ISBN: 978-1-4673-7327-2
DOI: 10.1109/I4CS.2015.7294481
Abstract
We propose two model-free visual object trackers for following targets using the low-cost quadrotor Parrot AR.Drone 2.0 at low altitudes. Our trackers employ correlation filters for short-term tracking and a redetection strategy based on tracking-learning-detection (TLD). We performed an extensive quantitative evaluation of our trackers and a wide variety of existing trackers on person pursuit sequences. The results show that our trackers outperform the existing trackers. In addition, we demonstrate the applicability of our proposed trackers in a series of flight experiments in unconstrained environments using human targets and an existing visual servoing controller.
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How to cite
APA:
Haag, K., Deitsch, S., & Gallwitz, F. (2015). Correlation Filter Based Visual Trackers for Person Pursuit Using a Low-Cost Quadrotor. In Proceedings of the 15th International Conference on Innovations for Community Services (I4CS) (pp. 1-8). Nuremberg, Germany, DE: IEEE.
MLA:
Haag, Klaus, Sergiu Deitsch, and Florian Gallwitz. "Correlation Filter Based Visual Trackers for Person Pursuit Using a Low-Cost Quadrotor." Proceedings of the 15th International Conference on Innovations for Community Services (I4CS), Nuremberg, Germany IEEE, 2015. 1-8.
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