A performance evaluation of detectors and descriptors for UAV visual tracking

Bruce Cowan; Nursultan Imanberdiyev; Changhong Fu; Yiqun Dong; Erdal Kayacan

doi:10.1109/ICARCV.2016.7838649

A performance evaluation of detectors and descriptors for UAV visual tracking

Bruce Cowan, Nursultan Imanberdiyev, Changhong Fu, Yiqun Dong, Erdal Kayacan

Electronic And Electrical Engineering

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

8 Citations (Scopus)

Abstract

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 UAV guidance system.

Original language	English
Title of host publication	2016 14th International Conference on Control, Automation, Robotics and Vision (ICARCV)
Place of Publication	Piscataway, N.J.
Publisher	IEEE
Number of pages	6
ISBN (Print)	978-1-5090-3549-6
DOIs	https://doi.org/10.1109/ICARCV.2016.7838649
Publication status	Published - 2 Feb 2017

Keywords

detectors
streaming media
performance evaluation
target tracking
autonomous aerial vehicles
robot vision
object tracking

Access to Document

10.1109/ICARCV.2016.7838649

Data for: "A performance evaluation of detectors and descriptors for UAV visual tracking"
Cowan, B. (Creator), University of Strathclyde, 5 Jun 2019
DOI: 10.15129/49a1861e-706d-474b-b46b-90e6bea49cf3, https://github.com/SuborbitalPigeon/fyp
Dataset

Nanyang Technological University
Cowan, B. (Visiting researcher)
Aug 2015 → May 2016
Activity: Visiting an external institution types › Visiting an external academic institution

Cite this

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title = "A performance evaluation of detectors and descriptors for UAV visual tracking",

abstract = "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 UAV guidance system.",

keywords = "detectors, streaming media, performance evaluation, target tracking, autonomous aerial vehicles, robot vision, object tracking",

author = "Bruce Cowan and Nursultan Imanberdiyev and Changhong Fu and Yiqun Dong and Erdal Kayacan",

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day = "2",

doi = "10.1109/ICARCV.2016.7838649",

language = "English",

isbn = "978-1-5090-3549-6",

booktitle = "2016 14th International Conference on Control, Automation, Robotics and Vision (ICARCV)",

publisher = "IEEE",

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T1 - A performance evaluation of detectors and descriptors for UAV visual tracking

AU - Cowan, Bruce

AU - Imanberdiyev, Nursultan

AU - Fu, Changhong

AU - Dong, Yiqun

AU - Kayacan, Erdal

PY - 2017/2/2

Y1 - 2017/2/2

N2 - 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 UAV guidance system.

AB - 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 UAV guidance system.

KW - detectors

KW - streaming media

KW - performance evaluation

KW - target tracking

KW - autonomous aerial vehicles

KW - robot vision

KW - object tracking

U2 - 10.1109/ICARCV.2016.7838649

DO - 10.1109/ICARCV.2016.7838649

M3 - Conference contribution book

SN - 978-1-5090-3549-6

BT - 2016 14th International Conference on Control, Automation, Robotics and Vision (ICARCV)

PB - IEEE

CY - Piscataway, N.J.

ER -

A performance evaluation of detectors and descriptors for UAV visual tracking

Abstract

Keywords

Access to Document

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Datasets

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

Activities

Nanyang Technological University

Cite this