TY  - CONF
SN  - 9781538637524
PB  - Institute of Electrical and Electronics Engineers Inc.
Y1  - 2018///
EP  - 112
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85051456680&doi=10.1109%2fAMS.2017.25&partnerID=40&md5=9ecad34aa505be9139803c968d377678
A1  - Yong, S.-P.
A1  - Chung, A.L.W.
A1  - Yeap, W.K.
A1  - Sallis, P.
AV  - none
KW  - Drones; Motion analysis; Object detection; Surveying
KW  -  Frame differencing; Land surveying; Motion detection; Moving objects; Public safety; Surveillance systems; Tracking moving objects
KW  -  Aircraft detection
TI  - Motion Detection Using Drone's Vision
ID  - scholars10097
SP  - 108
N2  - 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.
N1  - 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
ER  -