@inproceedings{scholars983,
           pages = {187--191},
           title = {Vision-based flame detection: Motion detection \& fire analysis},
         address = {Kuala Lumpur},
         journal = {Proceeding, 2010 IEEE Student Conference on Research and Development - Engineering: Innovation and Beyond, SCOReD 2010},
             doi = {10.1109/SCORED.2010.5703999},
            year = {2010},
            note = {cited By 11; Conference of 2010 8th IEEE Student Conference on Research and Development - Engineering: Innovation and Beyond, SCOReD 2010 ; Conference Date: 13 December 2010 Through 14 December 2010; Conference Code:83885},
        abstract = {Fire can lead to major financial loses to industries. It is very crucial to develop a reliable method to detect an occurrence of fire. In this paper, vision-based flame detection using motion detection algorithm is discussed. This paper stresses on analysis of fire; including fire classification and fire color pixel. The preliminary results show that vision-based flame detection can be achieved via motion detection method. {\^A}{\copyright}2010 IEEE.},
             url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-79951969369&doi=10.1109\%2fSCORED.2010.5703999&partnerID=40&md5=93203d91ea7ff4069c1d35a12c8fcbf8},
        keywords = {Color pixels; Component; Fire analysis; Fire classification; Flame detection; Identification; Image edge analysis; Image motion analysis; Motion detection; Vision based, Engineering research; Image processing; Imaging systems; Innovation; Pixels, Fires},
            isbn = {9781424486489},
          author = {Razmi, S. M. and Saad, N. and Asirvadam, V. S.}
}