A Survey on Fire Detection in Surveillance Video based on CNN |
Author(s): |
| Jinsha C J , IES College of Engineering,Chittilappilly,Thrissur,Kerala; Shejina N M, IES College of Engineering,Chittilappilly,Thrissur,keral |
Keywords: |
| Convalutional Neural Network, Fire Detection, Image Classification, Real-World Applications, Deep Learning, CCTV Video Analysis |
Abstract |
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The embedded processing have enabled the vision based systems to detect fire during surveillance based on convolutional neural networks (CNNs).The proposed method for a cost-effective fire detection CNN architecture for surveillance videos. The model is inspired for GoogleNet architecture. Its computational complexity and suitability for the intended problem compared to other computationally networks. To balance the efficiency and accuracy. The nature of the problems and fire data.The Experimental results helpful for fire datasets reveal the effectiveness of the proposed framework and its suitability for fire detection in CCTV surveillance systems compared to other fire detection methods. |
Other Details |
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Paper ID: IJSRDV7I10033 Published in: Volume : 7, Issue : 1 Publication Date: 01/04/2019 Page(s): 124-127 |
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