• Infrared and Laser Engineering
  • Vol. 47, Issue 2, 203006 (2018)
Zhang Xiuling1、2、*, Hou Daibiao1, Zhang Chengcheng1, Zhou Kaixuan1, and Wei Qijun1
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    DOI: 10.3788/irla201847.0203006 Cite this Article
    Zhang Xiuling, Hou Daibiao, Zhang Chengcheng, Zhou Kaixuan, Wei Qijun. Design of MPCANet fire image recognition model for deep learning[J]. Infrared and Laser Engineering, 2018, 47(2): 203006 Copy Citation Text show less
    References

    [1] Fan Yizhou, Ma Hongbing. Video based forest-fire smoke detection[J]. J Tsinghua Univ(Sci& Technol), 2015(2): 243-250. (in Chinese)

    [2] Xie Di, Tong Ruofeng, Tang Min, et al. Distinguishable method for video fire detection[J]. Journal of Zhejiang University (Engineering Science), 2012, 46(4): 698-704. (in Chinese)

    [3] Han Yuchong, Qin Jun, Ma Xingming, et al. Identification of fire flame based on variation rate of time-of-flight-depth-map method[J]. Infrared and Laser Engineering,2014, 43(1): 338-344. (in Chinese)

    [4] Minchul Shin, Munsang Kim, Dong-Soo Kwon. Baseline CNN structure analysis for facial expression recognition[C]//IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN), 2016: 724-729.

    [5] Wang Guangyao. Research on fire detection methods based on machine learning[D]. Dalian: Dalian University of Technology, 2015. (in Chinese)

    [6] Fu Tianju, Zheng Change, Tian Ye, et al. Forest fire recognition based on deep convoulutional neural network onder complex background [J]. Computer and Modernization, 2016(3): 52-57. (in Chinese)

    [7] Chen Huiying, Wang Weibing, Wang Tingfeng, et al.Relationship between performance of stochastic parallel gradient descent algorithm and distribution rule of deformable mirror[J]. Chinese Optics, 2016, 9(4): 432-438.(in Chinese)

    [8] Chan T H, Jia K, Gao S, et al. PCANet: A simple deep learning baseline for image classification[J]. IEEE Transactions on Image Processing, 2015, 24(12): 5017-5032.

    [9] Lathauwer L D, Moor B D, Vandewalle J. On the best rank-l and rank-(Rl, R2,…,Rn) approximation of higher order tensors[J]. Siam Journal on Matrix Analysis and Applications, 2000, 21(4): 1324-1342.

    [10] Song X, Meng L, Shi Q, et al. Learning tensor-based features for whole-brain fMRI classification[C]//International Conference on Medical Image Computing and Computer-Assisted Intervention-Miccai, 2015: 613-620.

    [11] Hou J, Chau L P, Magnenat Thalmann N, et al. Scalable and compact representation for motion capture data using tensor decomposition[J]. IEEE Signal Processing Letters, 2014, 21(3): 255-259.

    [12] Pei Liran, Jiang Pingping, Yan Guozheng. Research on fall detection system based on support vector machine[J]. Optics and Precision Engineering, 2017, 25(1): 182-187. (in Chinese)

    [13] Lu H, Plataniotis K N, Venetsanopoulos A N. MPCA: Multilinear principal component analysis of tensor objects.[J]. IEEE Transactions on Neural Networks, 2008, 19(1): 18-39.

    Zhang Xiuling, Hou Daibiao, Zhang Chengcheng, Zhou Kaixuan, Wei Qijun. Design of MPCANet fire image recognition model for deep learning[J]. Infrared and Laser Engineering, 2018, 47(2): 203006
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