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Erschienen in:
Minimizing the Image Resolution in Order to Increase the Computing Speed Without Losing the Separation of the Recognised Patterns Kapitel lesen Erstes Kapitel lesen

2016 | OriginalPaper | Buchkapitel

An Evaluation of SETh—The Method for Long-Term Feature Tracking

verfasst von : Karol Jędrasiak, Aleksander Nawrat

Erschienen in: Innovative Simulation Systems

Verlag: Springer International Publishing

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Abstract

The chapter presents a novel long-term object tracking method called SETh. It is an adaptive tracking by detection method which allows near real-time tracking within challenging sequences. The algorithm consists of three stages: detection, verification and learning. In order to measure the performance of the method a video data set consisting of more than a hundred videos was created and manually labelled by a human. Quality of the tracking by SETh was compared against five state-of-the-art methods. The presented method achieved results comparable and mostly exceeding the existing methods, which proves its capability for real life applications like e.g. vision-based control of UAVs.

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Vorheriges Kapitel GPU-Based Parameters Estimation for Anisotropic Diffusion
Nächstes Kapitel The System for Augmented Reality Motion Measurements Visualization
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Metadaten
Titel
An Evaluation of SETh—The Method for Long-Term Feature Tracking
verfasst von
Karol Jędrasiak
Aleksander Nawrat
Copyright-Jahr
2016
Buch
Innovative Simulation Systems

Print ISBN: 978-3-319-21117-6

Electronic ISBN: 978-3-319-21118-3

Copyright-Jahr: 2016

DOI
https://doi.org/10.1007/978-3-319-21118-3_9

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