@inproceedings{scholars10097,
           pages = {108--112},
       publisher = {Institute of Electrical and Electronics Engineers Inc.},
         journal = {AMS 2017 - Asia Modelling Symposium 2017 and 11th International Conference on Mathematical Modelling and Computer Simulation},
           title = {Motion Detection Using Drone's Vision},
            year = {2018},
             doi = {10.1109/AMS.2017.25},
            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. {\^A}{\copyright} 2017 IEEE.},
             url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85051456680&doi=10.1109\%2fAMS.2017.25&partnerID=40&md5=9ecad34aa505be9139803c968d377678},
        keywords = {Drones; Motion analysis; Object detection; Surveying, Frame differencing; Land surveying; Motion detection; Moving objects; Public safety; Surveillance systems; Tracking moving objects, Aircraft detection},
            isbn = {9781538637524},
          author = {Yong, S.-P. and Chung, A. L. W. and Yeap, W. K. and Sallis, P.}
}