16.6.2.4.6 Particle Swarm Tracking, Particle Swarm Optimization

Chapter Contents (Back)
Target Tracking. Particle Swarm.

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], 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.[Jinyoung], Park, J.[Jongyoul], 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


Yu, Q.Z.[Qiu-Ze], Min, S.X.[Shun-Xin], Pang, B.[Bo], Zhang, Y.[Yan],
Simultaneously Multiple-object Pattern Matching based on Multi-swarms Particle Swarm Optimization,
ICIVC17(122-127)
IEEE DOI 1708
Correlation, Correlation coefficient, Matrix converters, Particle swarm optimization, Pattern matching, Transforms, Multi-swarms PSO (MPSO), individual intelligence, multi-object pattern matching, pattern, matching 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 .


Last update:Aug 20, 2019 at 20:38:45