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《China Sciencepaper》 2017-14
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Fire detection based on two-stream ordinal regression deep network consumed

KONG Yaqi;LANG Congyan;FENG Songhe;WANG Tao;YIN Mengxia;School of Computer Science and Information Technology,Beijing Jiaotong University;  
First of all,we build a large-scale fire video data set in various of situations.Not only marked the fire region,at the same time marked the flame rank according to the area.Combined with the representation ability of the deep network,we formalize the fire detection to an ordinal regression problem with multiple level and propose a fire detection model based on two-stream ordinal regression deep network,which fuse the motion information and visual information of key frames effectively.For evaluation,we conduct experiments on our data set and three publicly available benchmarks,the results in all cases reveal the advantage of our proposed approach.
【Fund】: 北京交通大学多媒体大数据分析与安全研究所项目(K16L00240)
【CateGory Index】: TP183;TP391.41
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