[1] Wang Y X, Shi D L, Yang N. Fusion algorithm of frame difference and mean shift for high-speed UAVs’ tracking[J]. Journal of Naval Aeronautical and Astronautical University, 31, 437-441(2016).
[2] Chu J. Detection of moving target in dynamic background based on optical flow[J]. Journal of Nanchang University of Aeronautics and Astronautics, 25, 1-6(2011).
[3] Li S S, Zhao G P, Wang J Y. Distractor-aware object tracking based on multi-feature[J]. Acta Optica Sinica, 37, 0515005(2017).
[4] Tan Y, Wang Y J. On a combination of background difference improved CamShift target tracking method[J]. Journal of Southwest China Normal University (Natural Science Edition), 41, 120-125(2016).
[5] Yin L, Gao K, Bai T Z. Research on oilcan target segmentation in remote sensing image based on improved Otsu algorithm[J]. Optical Technique, 38, 197-201(2012).
[6] Yu K, Jia L, Chen Y Q et al. Deep learning: yesterday, today,and tomorrow[J]. Journal of Computer Research and Development, 50, 1799-1804(2013).
[8] Lecun Y, Bengio Y, Hinton G. Deep learning[J]. Nature, 521, 436-444(2015).
[9] Ren S Q, He K M, Girshick R et al. Faster R-CNN: towards real-time object detection with region proposal networks. [C]∥Proceedings of Advances in Neural Information Processing Systems, 91-99(2015).
[10] Liu W, Anguelov D, Erhan D et al. Ssd: single shot multibox detector[C]. European Conference on Computer Vision, 21-37(2016).
[11] Redmon J, Farhadi A. YOLO9000: better, faster, stronger. [C]∥IEEE Conference on Computer Vision and Pattern Recognition, 6517-6525(2017).
[12] Hare S, Golodetz S, Saffari A et al. Struck: structured output tracking with kernels[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 38, 2096-2109(2016).
[13] Girshick R, Donahue J, Darrell T et al. Rich feature hierarchies for accurate object detection and semantic segmentation. [C]∥Proceedings of 2014 IEEE International Conference on Computer Vision and Pattern Recognition, 580-587(2014).
[14] He K M, Zhang X Y, Ren S Q et al. Spatial pyramid pooling in deep convolutional networks for visual recognition[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 37, 1904-1916(2015).
[15] Girshick R. Fast R-CNN. [C]∥Proceedings of 2015 IEEE International Conference on Computer Vision, 1440-1448(2015).
[16] Qu S R, Yang H H. Multi-target detection and tracking of video sequence based on Kalman_BP neural network[J]. Infrared and Laser Engineering, 42, 2553-2560(2013).
[17] Li S J, Zhu Z F. Track-before-detect algorithm via particle filtering[J]. Infrared and Laser Engineering, 38, 352-357(2009).
[18] Jia Y, Shelhamer E, Donahue J et al. Caffe: convolutional architecture for fast feature embedding. [C]∥Proceedings of the 22nd ACM International Conference on Multimedia, 675-678(2014).
[19] Wang D F, Wang Y D, Wang J W. Moving target detection algorithm based on improved Gaussian mixture model[J]. Laser Technology, 38, 776-779(2014).
[20] Yang C C, Gu G H, Qian W X et al. Hardware implementation of infrared image registration based on the Harris corner of KLT tracking[J]. Infrared Technology, 35, 632-637(2013).
[21] Jiang Q Y, Li P, Sun L. Application of Otsu method in motion detection system[J]. Journal of Computer Applications, 31, 260-262(2011).
[22] Cui Z, Xiao S, Feng J et al. Recurrently target-attending tracking. [C]∥Proceedings of 2016 IEEE International Conference on Computer Vision, 1449-1458(2016).
[23] Cai Y Z, Yang D D, Mao N et al. Visual tracking algorithm based on adaptive convolutional features[J]. Acta Optica Sinica, 37, 0315002(2017).
