Data for: "A performance evaluation of detectors and descriptors for UAV visual tracking"

Dataset

Description

This paper is made up of a series of performance evaluations of computer vision algorithms, namely detectors and descriptors. The OpenCV 3.1 implementations of these algorithms were used for these evaluations. The main purpose behind these evaluations was to determine the best algorithms to use for a unmanned aerial vehicle (UAV) guidance system.

This dataset has the images and source code which were used to create the results from the paper. Be aware relative performance will have changed in different versions of OpenCV.

Paper published for 2016 14th International Conference on Control, Automation, Robotics and Vision (ICARCV).
Date made available5 Jun 2019
PublisherUniversity of Strathclyde
Date of data production24 Sept 2015 - 13 Apr 2016

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Access Dataset

  • fyp_v1.0.zip

    File: multipart/x-zip, 52.8 MB

    Type: Software

    Licence: CC BY 4.0

  • 1 Conference contribution book

  • A performance evaluation of detectors and descriptors for UAV visual tracking

    Cowan, B., Imanberdiyev, N., Fu, C., Dong, Y. & Kayacan, E., 2 Feb 2017, 2016 14th International Conference on Control, Automation, Robotics and Vision (ICARCV). Piscataway, N.J.: IEEE, 6 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

    9 Citations (Scopus)
  • 1 Visiting an external academic institution

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