[1] Yang K W, Duan W W, Yang X Z. Infra-visible video fusion object tracking under rainy night condition[J]. Chinese Journal of Scientific Instrument, 2016, 17(5): 1131–1139.
[2] Akshay S. Single moving object detection and tracking using Horn-Schunck optical flow method[J]. International Journal of Applied Engineering Research, 2015, 10(11): 30135–30152.
[3] Liu H B, Chang F L. Moving object detection by optical flow method based on adaptive weight coefficient[J]. Optics and Precision Engineering, 2016, 24(2): 460–468.
[4] Yu H F, Liu W, Yuan H, et al. Moving object detection based on sub-block motion compensation[J]. Acta Electronica Sinica, 2017, 45(1): 173–180.
[5] Ge H Y, Sun J H, Lin N, et al. A moving target detection approach to remove jitter by fusing wavelet transform and SIFT algorithm[J]. Research and Exploration in Laboratory, 2016, 35(2): 119–123, 174.
[6] Tang J L, Zheng J F, Li X Y, et al. Research on detecting algorithm of moving target in aerial video[J]. Computer Science, 2017, 44(S2): 175–177, 183.
[7] Liu W, Zhao W J, Li C, et al. Detecting small moving target based on the improved ORB feature matching[J]. Opto- Electronic Engineering, 2015, 42(10): 13–20.
[8] Leutenegger S, Chli M, Siegwart R Y. BRISK: binary robust invariant scalable keypoints[C]// Proceedings of 2011 IEEE International Conference on Computer Vision, 2011: 2548–2555.
[9] He L Y, Liu J H, Li G, et al. Fast image registration approach based on improved BRISK[J]. Infrared and Laser Engineering, 2014, 43(8): 2722–2727.
[10] Kriminger E, Cobb J T, Príncipe J C. Online active learning for automatic target recognition[J]. IEEE Journal of Oceanic Engineering, 2015, 40(3): 583–591.
[11] Zhang W Y, Li Z, Wang Y J. UAV scene matching algorithm based on CenSurE-star feature[J]. Chinese Journal of Scientific Instrument, 2017, 38(2): 462–470.
[12] Cui S H, Xie Z, Wang G, et al. Feature matching electronic image stabilization based on binary robust invariant scalable keypionts[J]. Optics and Precision Engineering, 2015, 23(9): 2715–2723.