[1] |
Luo Haibo, Xu Lingyun, Hui Bin, et al. Status and prospect of target tracking based on deep learning[J]. Infrared and Laser Engineering, 2017, 46(5):0502002. (in Chinese) |
[2] |
Erhan D, Szegedy C, Toshev A, et al. Scalable object detection using deep neural networks[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2014:2147-2154. |
[3] |
Wei P, Ball J E, Anderson D T. Fusion of an ensemble of augmented image detectors for robust object detection[J]. Sensors, 2018, 18(3):894. |
[4] |
Jeong Y N, Son S R, Jeong E H, et al. An integrated self-diagnosis system for an autonomous vehicle based on an IoT gateway and deep learning[J]. Applied Sciences, 2018, 7:1164. |
[5] |
Tian Y, Luo P, Wang X, et al. Deep learning strong parts for pedestrian detection[C]//IEEE International Conference on Computer Vision, 2015:1904-1912. |
[6] |
Hall D L, Llinas J. An introduction to multisensor data fusion[C]//Proceedings of the IEEE, 1997, 85(1):6-23. |
[7] |
Petrovic V S, Xydeas C S. Gradient-based multiresolution image fusion[J]. IEEE Transactions on Image Processing, 2004, 13(2):228-237. |
[8] |
Davis J W, Sharma V. Background-subtraction using contour-based fusion of thermal and visible imagery[J]. Computer Vision and Image Understanding, 2007, 106(2):162-182,. |
[9] |
Zeng D, Xu J, Xu G. Data fusion for traffic incident detection using DS evidence theory with probabilistic SVMs[J]. Journal of Computers, 2008, 3(10):36-43. |
[10] |
Fendri E, Boukhriss R R, Hammami M. Fusion of thermal infrared and visible spectra for robust moving object detection[J]. Pattern Analysis Applications, 2017, 20(10):1-20. |
[11] |
Guo Y, Liu Y, Oerlemans A, et al. Deep learning for visual understanding:A review[J]. Neurocomputing, 2016, 187(C):27-48. |
[12] |
Erhan D, Bengio Y, Courville A, et al. Why does unsupervised pre-training help deep learning?[J]. Journal of Machine Learning Research, 2010, 11(3):625-660. |
[13] |
He K, Sun J. Convolutional neural networks at constrained time cost[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015:5353-5360. |
[14] |
Shotton J, Blake A, Cipolla R. Contour-based learning for object detection[C]//Proceedings of the IEEE Conference on Computer Vision, 2005, 1:503-510. |
[15] |
Shen W, Wang X, Wang Y, et al. Deepcontour:A deep convolutional feature learned by positive-sharing loss for contour detection[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015:3982-3991. |
[16] |
Russakovsky O, Deng J, Su H, et al. Image net large scale visual recognition challenge[J]. International Journal of Computer Vision, 2014, 115(3):211-252. |
[17] |
Vicente S, Carreira J, Agapito L, et al. Reconstructing PASCAL VOC[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2014:41-48. |
[18] |
Liu W, Anguelov D, Erhan D, et al. SSD:Single shot multibox detector[C]//Proceedings of European Conference on Computer Vision, 2016:21-37. |
[19] |
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, 39(6):1137-1149. |
[20] |
Tang Cong, Ling Yongshun, Zheng Kedong, et al. Object detection method of multi-view SSD based on deep learning[J]. Infrared and Laser Engineering, 2018, 47(1):0126003. (in Chinese) |
[21] |
Zitov B, Flusser J. Image registration methods:a survey[J]. Image Vision Computing, 2003, 21(11):977-1000. |
[22] |
Heather J P, Smith M I. Multimodal image registration with applications to image fusion[C]//Proceedings of the IEEE International Conference on Information Fusion, 2005:372-379. |