Zhang, X.Q.[Xiao-Qin],
Hu, W.M.[Wei-Ming],
Qu, W.[Wei],
Maybank, S.J.[Steve J.],
Multiple Object Tracking Via Species-Based Particle Swarm Optimization,
CirSysVideo(20), No. 11, November 2010, pp. 1590-1602.
IEEE DOI
1011
See also Single and Multiple Object Tracking Using a Multi-Feature Joint Sparse Representation.
BibRef
Zhang, X.Q.[Xiao-Qin],
Li, W.[Wei],
Hu, W.M.[Wei-Ming],
Ling, H.B.[Hai-Bin],
Maybank, S.J.[Steve J.],
Block covariance based L1 tracker with a subtle template dictionary,
PR(46), No. 7, July 2013, pp. 1750-1761.
Elsevier DOI
1303
Visual tracking; Sparse representation; Block division; Covariance
feature; Template update
BibRef
Zhang, X.Q.[Xiao-Qin],
Hu, W.M.[Wei-Ming],
Li, W.[Wei],
Qu, W.[Wei],
Maybank, S.J.[Steve J.],
Multi-Object Tracking Via Species Based Particle Swarm Optimization,
VS09(1105-1112).
IEEE DOI
0910
BibRef
Zhang, X.Q.[Xiao-Qin],
Hu, W.M.[Wei-Ming],
Maybank, S.J.[Steve J.],
Li, X.[Xi],
Zhu, M.L.[Ming-Liang],
Sequential particle swarm optimization for visual tracking,
CVPR08(1-8).
IEEE DOI
0806
BibRef
Gao, J.[Jin],
Wang, Q.[Qiang],
Xing, J.L.[Jun-Liang],
Ling, H.B.[Hai-Bin],
Hu, W.M.[Wei-Ming],
Maybank, S.J.[Stephen J.],
Tracking-by-Fusion via Gaussian Process Regression Extended to
Transfer Learning,
PAMI(42), No. 4, April 2020, pp. 939-955.
IEEE DOI
2003
Task analysis, Correlation, Target tracking,
Probability distribution, Visualization, Collaboration,
tracking-by-fusion
BibRef
Gao, J.[Jin],
Ling, H.B.[Hai-Bin],
Hu, W.M.[Wei-Ming],
Xing, J.L.[Jun-Liang],
Transfer Learning Based Visual Tracking with Gaussian Processes
Regression,
ECCV14(III: 188-203).
Springer DOI
1408
See also Discriminant Tracking Using Tensor Representation with Semi-supervised Improvement.
BibRef
Hu, W.M.[Wei-Ming],
Gao, J.[Jin],
Xing, J.L.[Jun-Liang],
Zhang, C.,
Maybank, S.J.[Steve J.],
Semi-Supervised Tensor-Based Graph Embedding Learning and Its
Application to Visual Discriminant Tracking,
PAMI(39), No. 1, January 2017, pp. 172-188.
IEEE DOI
1612
Adaptation models
BibRef
Gao, M.L.[Ming-Liang],
He, X.H.[Xiao-Hai],
Luo, D.S.[Dai-Sheng],
Jiang, J.[Jun],
Teng, Q.Z.[Qi-Zhi],
Object tracking using firefly algorithm,
IET-CV(7), No. 4, 2013, pp. 227-237.
DOI Link
1307
Optimization that mimics social behavior of fireflies.
Compare to particle filter, meanshift and particle swarm optimisation.
BibRef
Baik, Y.K.[Young Ki],
Kwon, J.H.[Jung-Hyun],
Lee, H.S.[Hee Seok],
Lee, K.M.[Kyoung Mu],
Geometric particle swarm optimization for robust visual ego-motion
estimation via particle filtering,
IVC(31), No. 8, August 2013, pp. 565-579.
Elsevier DOI
1306
Visual ego-motion estimation; Visual odometry; Visual SLAM;
Particle filtering; Particle swarm optimization; Special Euclidean
group
BibRef
Ahmadi, K.[Kaveh],
Salari, E.[Ezzatollah],
Small dim object tracking using a multi objective particle swarm
optimisation technique,
IET-IPR(9), No. 9, 2015, pp. 820-826.
DOI Link
1509
clutter
See also Single-image super resolution using evolutionary sparse coding technique.
BibRef
Ahmadi, K.[Kaveh],
Salari, E.[Ezzatollah],
Small dim object tracking using frequency and spatial domain
information,
PR(58), No. 1, 2016, pp. 227-234.
Elsevier DOI
1606
Dim object tracking
BibRef
Jalloul, M.K.[Manal K.],
Al-Alaoui, M.A.[Mohamad Adnan],
A novel Cooperative Motion Estimation Algorithm based on Particle
Swarm Optimization and its multicore implementation,
SP:IC(39, Part A), No. 1, 2015, pp. 121-140.
Elsevier DOI
1512
Motion estimation
BibRef
Kang, K.[Kyuchang],
Bae, C.[Changseok],
Moon, J.Y.[Jin-Young],
Park, J.Y.[Jong-Youl],
Chung, Y.Y.[Yuk Ying],
Sha, F.[Feng],
Zhao, X.M.[Xi-Meng],
Invariant-Feature Based Object Tracking Using Discrete Dynamic Swarm
Optimization,
ETRI(39), No. 2, April 2017, pp. 151-162.
DOI Link
1704
BibRef
Hong, Y.K.[You-Kyung],
Choi, B.[Byunghun],
Oh, G.[Gyeongtaek],
Lee, K.[Keumjin],
Kim, Y.[Youdan],
Nonlinear Conflict Resolution and Flow Management Using Particle
Swarm Optimization,
ITS(18), No. 12, December 2017, pp. 3378-3387.
IEEE DOI
1712
Aircraft, Aircraft manufacture, Atmospheric modeling, Optimization,
Particle swarm optimization, Performance analysis, Safety,
particle swarm optimization
BibRef
Mollaret, C.[Christophe],
Lerasle, F.[Frederic],
Ferrane, I.[Isabelle],
Pinquier, J.[Julien],
A particle swarm optimization inspired tracker applied to visual
tracking,
ICIP14(426-430)
IEEE DOI
1502
Heuristic algorithms
BibRef
Aydin, I.[Ilhan],
Karakose, M.[Mehmet],
Akin, E.[Erhan],
Monitoring of pantograph-catenary interaction by using particle swarm
based contact wire tracking,
WSSIP14(23-26)
1406
Continuous wavelet transforms
BibRef
Lee, H.S.[Hee Seok],
Lee, K.M.[Kyoung Mu],
Mutiswarm particle filter for robust tracking under observation
ambiguity,
FCV11(1-6).
IEEE DOI
1102
BibRef
Liu, J.[Jun],
Ma, H.B.[Hong-Bin],
Ren, X.M.[Xue-Mei],
Tracking Multiple Targets with Adaptive Swarm Optimization,
EvoIASP11(194-203).
Springer DOI
1104
BibRef
Yang, S.Y.[Shu-Ying],
Ma, Q.[Qin],
Huang, W.J.[Wen-Juan],
Particle Swarm Optimized Unscented Particle Filter for Target Tracking,
CISP09(1-5).
IEEE DOI
0910
BibRef
Zou, D.P.[Dan-Ping],
Zhao, Q.[Qi],
Wu, H.S.[Hai Shan],
Chen, Y.Q.[Yan Qiu],
Reconstructing 3D Motion Trajectories of Particle Swarms by Global
Correspondence Selection,
ICCV09(1578-1585).
IEEE DOI
WWW Link.
0909
BibRef
Chapter on Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in
Target Tracking Techniques, Tests .