Infrared Small Target Tracking Based on Super-resolution and Online Detection DSST

Bin LI; Xiuhong LI; Hamdulla Askar

[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.

[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.

[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.

[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, Sanchez J. Reliable estimation of dense optical flow fieldS with large diSplacementS[J]. International Journal of Computer Vision, 2000, 39(1): 41-56.

[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.