[1] Sivanantham S, Paul N N, Iyer R S. Object tracking algorithm implementation for security applications[J]. Far East Journal of Electronics and Communications, 16, 1-13(2016).
[2] Tang C, Ling Y S, Zheng K D et al. Object detection method of multi-view SSD based on deep learning[J]. Infrared and Laser Engineering, 47, 0126003(2018).
[3] Luo H B, Xu L Y, Hui B et al. Status and prospect of target tracking based on deep learning[J]. Infrared and Laser Engineering, 46, 0502002(2017).
[4] Hall D L, Llinas J. An introduction to multisensor data fusion[J]. Proceedings of the IEEE, 85, 6-23(1997). http://doi.ieeecomputersociety.org/resolve?ref_id=doi:10.1109/5.554205&rfr_id=trans/tk/2006/12/ttk2006121696.htm
[5] Liu H P, Sun F C. Fusion tracking in color and infrared images using joint sparse representation[J]. Science China Information Sciences, 55, 590-599(2012). http://link.springer.com/article/10.1007/s11432-011-4536-9
[6] Zhao G P, Bo Y M, Chen Y. A method for tracking object in infrared and visible image based on multiple features[J]. Acta Armamentarii, 32, 445-451(2011).
[7] Yun X, Jing Z L, Xiao G et al. A compressive tracking based on time-space Kalman fusion model[J]. Science China Information Sciences, 59, 012106(2016). http://www.cnki.com.cn/Article/CJFDTotal-JFXG201601011.htm
[8] Wang N Y, Yeung D Y. Learning a deep compact image representation for visual tracking. [C]∥International Conference on Neural Information Processing Systems, 809-817(2013).
[9] Ma C, Huang J B, Yang X K et al. Hierarchical convolutional features for visual tracking. [C]∥IEEE International Conference on Computer Vision, 3074-3082(2015).
[10] Nam H, Han B. Learning multi-domain convolutional neural networks for visual tracking. [C]∥IEEE Conference on Computer Vision and Pattern Recognition, 4293-4302(2016).
[11] Tang C, Ling Y S, Yang H et al. A visual tracking method via object detection based on deep learning[J]. Infrared and Laser Engineering, 47, 0526001(2018).
[12] Fendri E, Boukhriss R R, Hammami M. Fusion of thermal infrared and visible spectra for robust moving object detection[J]. Pattern Analysis and Applications, 20, 907-926(2017). http://link.springer.com/10.1007/s10044-017-0621-z
[13] Guo Y M, Liu Y, Oerlemans A et al. Deep learning for visual understanding: a review[J]. Neurocomputing, 187, 27-48(2016). http://www.sciencedirect.com/science/article/pii/S0925231215017634
[14] Wang L, Liu T, Wang G et al. Video tracking using learned hierarchical features[J]. IEEE Transactions on Image Processing, 24, 1424-1435(2015). http://www.ncbi.nlm.nih.gov/pubmed/25700445
[15] WangN, LiS, GuptaA, et al. Transferring rich feature hierarchies for robust visual tracking[J]. CarX iv preprint arX iv:1501.04587, , 2015.
[16] Wang X, Hou Z Q, Yu W S et al. Robust visual tracking via multiscale deep sparse networks[J]. Optical Engineering, 56, 043107(2017). http://adsabs.harvard.edu/abs/2017OptEn..56d3107W
[17] Russakovsky O, Deng J, Su H et al. ImageNet large scale visual recognition challenge[J]. International Journal of Computer Vision, 115, 211-252(2015). http://dl.acm.org/citation.cfm?id=2846559"
[18] Vicente S, Carreira J, Agapito L et al. Reconstructing PASCAL VOC. [C]∥IEEE Conference on Computer Vision and Pattern Recognition, 41-48(2014).
[19] Liu W, Anguelov D, Erhan D et al. SSD: single shot multibox detector. [C]∥European Conference on Computer Vision, 21-37(2016).
[20] Davis J, Goadrich M. The relationship between precision-recall and ROC curves. [C]∥International Conference on Machine Learning, 233-240(2006).
[21] Wu Y, Lim J, Yang M H. Object tracking benchmark[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 37, 1834-1848(2015).