Citation: | LI Bin, LI Xiuhong, Askar Hamdulla. Infrared Small Target Tracking Based on Super-resolution and Online Detection DSST[J]. Infrared Technology , 2022, 44(7): 659-666. |
[1] |
武文成, 艾斯卡尔·艾木都拉. 基于在线集成学习的红外点目标跟踪研究[J]. 山西大学学报: 自然科学版, 2019, 42(4): 755-761. https://www.cnki.com.cn/Article/CJFDTOTAL-SXDR201904006.htm
WU Wencheng, ASKAR Hamdulla. Infrared small target tracking algorithm based on online ensemble learning[J]. Journal of Shanxi University: Natural Science Edition, 2019, 42(4): 755-761. https://www.cnki.com.cn/Article/CJFDTOTAL-SXDR201904006.htm
|
[2] |
Fortmann T, Bar-Shalom Y, Scheffe M. Sonar tracking of multiple targets using joint probabilistic data association[J]. IEEE Journal of Oceanic Engineering, 1983, 8(3): 173-184. DOI: 10.1109/JOE.1983.1145560
|
[3] |
Gordon N J, Salmond D J, Smith A F. Novel approach to nonlinear/non-Gaussian Bayesian state estimation[C]//IEEE Proceedings F, 1993, 140(2): 107-113.
|
[4] |
Reid D. An algorithm for tracking multiple targets[J]. IEEE Transactions on Automatic Control, 1979, 24(6): 843-854. DOI: 10.1109/TAC.1979.1102177
|
[5] |
Barniv Y, Kella O. Dynamic programming solution for detecting dim moving targets part II: analysis[J]. IEEE Transactions on Aerospace and Electronic Systems, 1987(6): 776-788.
|
[6] |
WEI L I, HUI L I. Infrared target tracking based on multiple features fusion and weight selected particle filter[J]. Laser and Infrared, 2014, 44(1): 35-40.
|
[7] |
YE Y S, LIU S F, SUN Q, et al. Application of improved particle filter algorithm in deep space infrared small target tracking[J]. Acta Electronica Sinica, 2015, 43(8): 1506-1512.
|
[8] |
Peleg T, Elad M. A statistical prediction model based on sparse representations for single image super-resolution[J]. IEEE Transactions on Image Processing, 2014, 23(6): 2569-2582. DOI: 10.1109/TIP.2014.2305844
|
[9] |
Glasner D, Bagon S, Irani M. Super-resolution from a single image[C]// IEEE 12th International Conference on Computer Vision, 2009: 349-356.
|
[10] |
Alvarez L, Weickert J, Sánchez J. Reliable estimation of dense optical flow fields with large displacements[J]. International Journal of Computer Vision, 2000, 39(1): 41-56. DOI: 10.1023/A:1008170101536
|
[11] |
Walker J, Gupta A, Hebert M. Dense optical flow prediction from a static image[C]//Proceedings of the IEEE International Conference on Computer Vision, 2015: 2443-2451.
|
[12] |
KE Y, Sukthankar R. PCA-SIFT: A more distinctive representation for local image descriptors[C]//Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004, 2: 506-513.
|
[13] |
Bolme D S, Beveridge J R, Draper B A, et al. Visual object tracking using adaptive correlation filters[C]// IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2010: 2544-2550.
|
[14] |
Kalal Z, Mikolajczyk K, Matas J. Tracking-learning-detection[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2012, 34(7): 1409-1422. DOI: 10.1109/TPAMI.2011.239
|
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