A Real-Time Fire Detection Method from Video with Multifeature Fusion
المؤلفون المشاركون
Gong, Faming
Li, Chuantao
Gong, Wenjuan
Li, Xin
Yuan, Xiangbing
Ma, Yuhui
Song, Tao
المصدر
Computational Intelligence and Neuroscience
العدد
المجلد 2019، العدد 2019 (31 ديسمبر/كانون الأول 2019)، ص ص. 1-17، 17ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2019-07-14
دولة النشر
مصر
عدد الصفحات
17
التخصصات الرئيسية
الملخص EN
The threat to people’s lives and property posed by fires has become increasingly serious.
To address the problem of a high false alarm rate in traditional fire detection, an innovative detection method based on multifeature fusion of flame is proposed.
First, we combined the motion detection and color detection of the flame as the fire preprocessing stage.
This method saves a lot of computation time in screening the fire candidate pixels.
Second, although the flame is irregular, it has a certain similarity in the sequence of the image.
According to this feature, a novel algorithm of flame centroid stabilization based on spatiotemporal relation is proposed, and we calculated the centroid of the flame region of each frame of the image and added the temporal information to obtain the spatiotemporal information of the flame centroid.
Then, we extracted features including spatial variability, shape variability, and area variability of the flame to improve the accuracy of recognition.
Finally, we used support vector machine for training, completed the analysis of candidate fire images, and achieved automatic fire monitoring.
Experimental results showed that the proposed method could improve the accuracy and reduce the false alarm rate compared with a state-of-the-art technique.
The method can be applied to real-time camera monitoring systems, such as home security, forest fire alarms, and commercial monitoring.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Gong, Faming& Li, Chuantao& Gong, Wenjuan& Li, Xin& Yuan, Xiangbing& Ma, Yuhui…[et al.]. 2019. A Real-Time Fire Detection Method from Video with Multifeature Fusion. Computational Intelligence and Neuroscience،Vol. 2019, no. 2019, pp.1-17.
https://search.emarefa.net/detail/BIM-1129358
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Gong, Faming…[et al.]. A Real-Time Fire Detection Method from Video with Multifeature Fusion. Computational Intelligence and Neuroscience No. 2019 (2019), pp.1-17.
https://search.emarefa.net/detail/BIM-1129358
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Gong, Faming& Li, Chuantao& Gong, Wenjuan& Li, Xin& Yuan, Xiangbing& Ma, Yuhui…[et al.]. A Real-Time Fire Detection Method from Video with Multifeature Fusion. Computational Intelligence and Neuroscience. 2019. Vol. 2019, no. 2019, pp.1-17.
https://search.emarefa.net/detail/BIM-1129358
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1129358
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر