eprintid: 10097
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/01/00/97
datestamp: 2023-11-09 16:36:44
lastmod: 2023-11-09 16:36:44
status_changed: 2023-11-09 16:30:34
type: conference_item
metadata_visibility: show
creators_name: Yong, S.-P.
creators_name: Chung, A.L.W.
creators_name: Yeap, W.K.
creators_name: Sallis, P.
title: Motion Detection Using Drone's Vision
ispublished: pub
keywords: Drones; Motion analysis; Object detection; Surveying, Frame differencing; Land surveying; Motion detection; Moving objects; Public safety; Surveillance systems; Tracking moving objects, Aircraft detection
note: cited By 4; Conference of 2017 Asia Modelling Symposium, AMS 2017 and 11th International Conference on Mathematical Modelling and Computer Simulation ; Conference Date: 4 December 2017 Through 6 December 2017; Conference Code:138382
abstract: This paper presents a preliminary investigation ofusing motion detection algorithms in a commercial drone aspart of a surveillance system. Frame differencing is used in thealgorithm as it is an effective and an efficient way for detectingand tracking moving objects. We explore ways in which thedrone can make decisions autonomously, based on informationextracted from moving objects in views and for applicationssuch as agriculture, hunting, public safety and land surveying. © 2017 IEEE.
date: 2018
publisher: Institute of Electrical and Electronics Engineers Inc.
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85051456680&doi=10.1109%2fAMS.2017.25&partnerID=40&md5=9ecad34aa505be9139803c968d377678
id_number: 10.1109/AMS.2017.25
full_text_status: none
publication: AMS 2017 - Asia Modelling Symposium 2017 and 11th International Conference on Mathematical Modelling and Computer Simulation
pagerange: 108-112
refereed: TRUE
isbn: 9781538637524
citation:   Yong, S.-P. and Chung, A.L.W. and Yeap, W.K. and Sallis, P.  (2018) Motion Detection Using Drone's Vision.  In: UNSPECIFIED.