Infrared Technology, Volume. 42, Issue 7, 651(2020)
Detection and Recognition of Persons and Vehicles in Low-Resolution Nighttime Thermal Images Based on Optimized Convolutional Neural Network
[1] [1] Holstein T, Dodig-Crnkovic G, Pelliccione P. Ethical and Social Aspects of Self-Driving Cars[EB/OL]. Arxiv preprint, 2018, arXiv:1802.04103.
[2] [2] Gaussorgues G, Chomet S. Infrared Thermography[M]. Springer Science& Business Media,2012, 5:379-395
[3] [3] Beard J. Introduction to infrared thermography[J]. Lecture Presented at IT, 2007, 570: 7-14.
[4] [4] Meis U, Ritter W, Neumann H. Detection and classification of obstacles in night vision traffic scenes based on infrared imagery[C]//Proceedings of the 2003 IEEE International Conference on Intelligent Transportation Systems, 2003, 2: 1140-1144.
[5] [5] Cao Y, Pranata S, Nishimura H. Local binary pattern features for pedestrian detection at night/dark environment[C]//2011 18th IEEE International Conference on Image Processing. IEEE, 2011: 2053-2056.
[6] [6] Chen T H, Chen J L, Chen C H, et al. Vehicle detection and counting by using headlight information in the dark environment[C]//Third International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2007). IEEE, 2007, 2: 519-522.
[7] [7] Karpathy A, Toderici G, Shetty S, et al. Large-scale video classification with convolutional neural networks[C]//Proceedings of the IEEE conference on Computer Vision and Pattern Recognition, 2014:1725-1732.
[8] [8] Lenc K, Vedaldi A. R-cnn minus r[EB/OL]. ArXiv preprint, 2015,arXiv:1506.06981.
[9] [9] Girshick R. Fast r-cnn[C]//Proceedings of the IEEE international conference on computer vision, 2015: 1440-1448.
[10] [10] Ren S, He K, Girshick R, et al. Faster R-CNN: towards real-time object detection with region proposal networks[J]. IEEE Transactions on Pattern Analysis & Machine Intelligence, 2017(6): 1137-1149.
[12] [12] Krizhevsky A, Sutskever I, Hinton G E. Imagenet classification with deep convolutional neural networks[C]//Advances in Neural Information Processing Systems, 2012: 1097-1105.
[13] [13] Cire?an D, Meier U, Schmidhuber J. Multi-column deep neural networks for image classification[EB/OL]. Arxiv Preprint, 2012, arXiv:1202.2745.
[14] [14] Szegedy C, Liu W, Jia Y, et al. Going deeper with convolutions[C]//Proceedings of the IEEE Conference On Computer Vision And Pattern Recognition, 2015: 1-9.
[15] [15] Szegedy C, Vanhoucke V, Ioffe S, et al. Rethinking the inception architecture for computer vision[C]//Proceedings of the IEEE Conference On Computer Vision And Pattern Recognition, 2016: 2818-2826.
[16] [16] Simonyan K, Zisserman A. Very deep convolutional networks for large-scale image recognition[EB/OL]. Arxiv Preprint, 2014,arXiv:1409.1556.
[17] [17] Long J, Shelhamer E, Darrell T. Fully convolutional networks for semantic segmentation[C]//Proceedings of the IEEE conference on computer vision and pattern recognition, 2015: 3431-3440.
[18] [18] LIN M, CHEN Q, YAN S. Network in network[EB/OL]. ArXiv preprint,2013, arXiv: 1312.4400.
[19] [19] Ioffe S, Szegedy C. Batch normalization: Accelerating deep network training by reducing internal covariate shift[EB/OL]. ArXiv preprint,2015, arXiv: 1502.03167.
[20] [20] Everingham M, Van Gool L, Williams C K I, et al. The pascal visual object classes (voc) challenge[J]. International Journal of Computer Vision, 2010, 88(2): 303-338.
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YU Longjiao, YU Bo, LI Chungeng, AN Jubai. Detection and Recognition of Persons and Vehicles in Low-Resolution Nighttime Thermal Images Based on Optimized Convolutional Neural Network[J]. Infrared Technology, 2020, 42(7): 651
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Received: Nov. 19, 2019
Accepted: --
Published Online: Aug. 18, 2020
The Author Email: Longjiao YU (yulongjiao@dlmu.edu.cn)
CSTR:32186.14.