-
Blackman SS, Popoli R. Design and Analysis of Modern Tracking Systems. Artech House; 1999;.
pubmed_reference_list
-
Demos GC, Ribas RA, Broida TJ, Blackman SS. Applications of MHT to dim moving targets. Proceedings of SPIE—The International Society for Optical Engineering. 1990;1305:297–309.
pubmed_reference_list
-
Bar-Shalom Y, Blackman SS, Fitzgerald RJ. Dimensionless score function for multiple hypothesis tracking. IEEE Transactions on Aerospace and Electronic Systems. 2007;43(1):392–400. 10.1109/TAES.2007.357141
DOI: 10.1109/TAES.2007.357141
pubmed_reference_list
-
Blackman SS. Multiple hypothesis tracking for multiple target tracking. IEEE Aerospace and Electronic Systems Magazine. 2004;19(1):5–18. 10.1109/MAES.2004.1263228
DOI: 10.1109/MAES.2004.1263228
pubmed_reference_list
-
Deb S, Yeddanapudi M, Pattipati K, Bar-Shalom Y. A generalized S-D assignment algorithm for multisensor-multitarget state estimation. IEEE Transactions on Aerospace and Electronic Systems. 1997;33(2):523–538. 10.1109/7.575891
DOI: 10.1109/7.575891
pubmed_reference_list
-
Caponi A. Polynomial time algorithm for data association problem in multitarget tracking. IEEE Transactions on Aerospace and Electronic Systems. 2004;40(4):1398–1410. 10.1109/TAES.2004.1386892
DOI: 10.1109/TAES.2004.1386892
pubmed_reference_list
-
Perea F, Waard HWD. Greedy and K -Greedy Algorithms for Multidimensional Data Association. IEEE Transactions on Aerospace and Electronic Systems. 2011;47(3):1915–1925. 10.1109/TAES.2011.5937273
DOI: 10.1109/TAES.2011.5937273
pubmed_reference_list
-
Reid D. An algorithm for tracking multiple targets. IEEE Transactions on Automatic Control. 1979;24(6):843–854. 10.1109/TAC.1979.1102177
DOI: 10.1109/TAC.1979.1102177
pubmed_reference_list
-
Cox IJ, Hingorani SL. An efficient implementation of Reid’s multiple hypothesis tracking algorithm and its evaluation for the purpose of visual tracking. IEEE Transactions on Pattern Analysis and Machine Intelligence. 1996;18(2):138–150. 10.1109/34.481539
DOI: 10.1109/34.481539
pubmed_reference_list
-
Ren X, Huang Z, Sun S, Liu D, Wu J. An Efficient MHT Implementation Using GRASP. IEEE Transactions on Aerospace and Electronic Systems. 2014;50(1):86–101. 10.1109/TAES.2013.120041
DOI: 10.1109/TAES.2013.120041
pubmed_reference_list
-
Kirubarajan T, Bar-shalom Y. Probabilistic data association techniques for target tracking in clutter. Proceedings of the IEEE. 2004;92(3):536–557. 10.1109/JPROC.2003.823149
DOI: 10.1109/JPROC.2003.823149
pubmed_reference_list
-
Koch W. Experimental results on Bayesian MHT for maneuvering closely-spaced objects in a densely cluttered environment. In: Radar 97 (Conf. Publ. No. 449); 1997. p. 729–733.
pubmed_reference_list
-
Leung H, Hu Z, Blanchette M. Evaluation of multiple radar target trackers in stressful environments. IEEE Transactions on Aerospace and Electronic Systems. 1999;35(2):663–674. 10.1109/7.766946
DOI: 10.1109/7.766946
pubmed_reference_list
-
Koch W, Keuk GV. Multiple hypothesis track maintenance with possibly unresolved measurements. IEEE Transactions on Aerospace and Electronic Systems. 1997;33(3):883–892. 10.1109/7.599263
DOI: 10.1109/7.599263
pubmed_reference_list
-
Jeong S, Tugnait JK. Tracking of two targets in clutter with possibly unresolved measurements. IEEE Transactions on Aerospace and Electronic Systems. 2008;44(2):748–765. 10.1109/TAES.2008.4560218
DOI: 10.1109/TAES.2008.4560218
pubmed_reference_list
-
Khan Z, Balch T, Dellaert F. Multitarget tracking with split and merged measurements. In: 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR’05). vol. 1; 2005. p. 605–610 vol. 1.
pubmed_reference_list
-
Henriques JF, Caseiro R, Batista J. Globally optimal solution to multi-object tracking with merged measurements. In: 2011 International Conference on Computer Vision; 2011. p. 2470–2477.
pubmed_reference_list
-
Berclaz J, Fleuret F, Turetken E, Fua P. Multiple Object Tracking Using K-Shortest Paths Optimization. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2011;33(9):1806–1819. 10.1109/TPAMI.2011.21
DOI: 10.1109/TPAMI.2011.21
pubmed_reference_list
-
Jiang H, Fels S, Little JJ. A Linear Programming Approach for Multiple Object Tracking. In: 2007 IEEE Conference on Computer Vision and Pattern Recognition; 2007. p. 1–8.
pubmed_reference_list
-
Wu Z, Kunz TH, Betke M. Efficient track linking methods for track graphs using network-flow and set-cover techniques. In: CVPR; 2011; 2011. p. 1185–1192.
pubmed_reference_list
-
Pirsiavash H, Ramanan D, Fowlkes CC. Globally-optimal greedy algorithms for tracking a variable number of objects. In: Computer Vision and Pattern Recognition (CVPR), 2011 IEEE Conference on; 2011. p. 1201–1208.
pubmed_reference_list
-
Zhang L, Li Y, Nevatia R. Global data association for multi-object tracking using network flows. In: Computer Vision and Pattern Recognition, 2008. CVPR 2008. IEEE Conference on; 2008. p. 1–8.
pubmed_reference_list
-
Li Y, Huang C, Nevatia R. Learning to associate: HybridBoosted multi-target tracker for crowded scene. In: 2009 IEEE Conference on Computer Vision and Pattern Recognition; 2009. p. 2953–2960.
pubmed_reference_list
-
Chen CLP, Li H, Wei Y, Xia T, Tang YY. A Local Contrast Method for Small Infrared Target Detection. IEEE Transactions on Geoscience and Remote Sensing. 2014;52(1):574–581. 10.1109/TGRS.2013.2242477
DOI: 10.1109/TGRS.2013.2242477
pubmed_reference_list
-
Morefield C. Application of 0-1 integer programming to multitarget tracking problems. IEEE Transactions on Automatic Control. 1977;22(3):302–312. 10.1109/TAC.1977.1101500
DOI: 10.1109/TAC.1977.1101500
pubmed_reference_list
-
Wei Y, You X, Li H. Multiscale patch-based contrast measure for small infrared target detection. Pattern Recognition. 2016;58:216–226. 10.1016/j.patcog.2016.04.002
DOI: 10.1016/j.patcog.2016.04.002
pubmed_reference_list
-
Murphey RA, Pardalos PM, Pitsoulis L. A greedy randomized adaptive search procedure for the MultiTarget MultiSensor Tracking problem. In: Network design: Connectivity and facilities location, volume 40 of DIMACS Series on Discrete Mathematics and Theoretical Computer Science; 2010. p. 277–301.
pubmed_reference_list
-
Robertson AJ. A Set of Greedy Randomized Adaptive Local Search Procedure (GRASP) Implementations for the Multidimensional Assignment Problem. Computational Optimization & Applications. 2001;19(19):145–164. 10.1023/A:1011285402433
DOI: 10.1023/A:1011285402433
pubmed_reference_list
-
Ristic B, Vo BN, Clark D, Vo BT. A Metric for Performance Evaluation of Multi-Target Tracking Algorithms. IEEE Transactions on Signal Processing. 2011;59(7):3452–3457. 10.1109/TSP.2011.2140111
DOI: 10.1109/TSP.2011.2140111
pubmed_reference_list
-
Leal-Taixé L, Milan A, Reid I, Roth S, Schindler K. MOTChallenge 2015: Towards a Benchmark for Multi-Target Tracking. arXiv:150401942 [cs]. 2015;.
pubmed_reference_list
-
Kim S, Lee J. Scale invariant small target detection by optimizing signal-to-clutter ratio in heterogeneous background for infrared search and track. Pattern Recognition. 2012;45(1):393–406. 10.1016/j.patcog.2011.06.009
DOI: 10.1016/j.patcog.2011.06.009
pubmed_reference_list
-
Stiefelhagen R, Bernardin K, Bowers R, Garofolo J, Mostefa D, Soundararajan P. The CLEAR 2006 Evaluation. In: International Evaluation Conference on Classification of Events, Activities and Relationships; 2006. p. 1–44.
pubmed_reference_list
-
Kim C, Li F, Ciptadi A, Rehg JM. Multiple Hypothesis Tracking Revisited. In: 2015 IEEE International Conference on Computer Vision (ICCV); 2015. p. 4696–4704.
pubmed_reference_list