16.6.2.16.6 Target Tracking Techniques, Particle Filter Techniques

Arulampalam, S., Maskell, S., Gordon, N., and Clapp, T.,
A tutorial on particle filters for on-line non-linear/non-Gaussian Bayesian tracking,
TSP(50), No. 2, 2002, pp. 174-188.
WWW Link.
IEEE DOI Survey, Particle Filters. BibRef 0200

Noyer, J.C.[Jean-Charles], Boucher, C.[Christophe], Benjelloun, M.[Mohammed],
3D particle tracking using an active vision,
PRL(24), No. 9-10, June 2003, pp. 1227-1240.
Elsevier DOI 0304
BibRef

Noyer, J.C.[Jean-Charles], Boucher, C.[Christophe], Benjelloun, M.[Mohammed],
3D Structure And Motion Estimation From Range And Intensity Images Using Particle Filtering,
IJIG(5), No. 3, July 2005, pp. 639-661. 0507
BibRef

Noyer, J.C., Lanvin, P., Benjelloun, M.,
Non-linear matched filtering for object detection and tracking,
PRL(25), No. 6, 19 April 2004, pp. 655-668.
Elsevier DOI 0405
BibRef

Isaac, A., Zhang, X., Willett, P., Bar-Shalom, Y.,
A Particle Filter for Tracking Two Closely Spaced Objects Using Monopulse Radar Channel Signals,
SPLetters(13), No. 6, June 2006, pp. 357-360.
IEEE DOI 0606
BibRef

Xu, X.Y.[Xin-Yu], Li, B.X.[Bao-Xin],
Adaptive Rao-Blackwellized Particle Filter and Its Evaluation for Tracking in Surveillance,
IP(16), No. 3, March 2007, pp. 838-849.
IEEE DOI 0703
BibRef
Earlier:
Rao-Blackwellised particle filter for tracking with application in visual surveillance,
PETS05(17-24).
IEEE DOI 0602
BibRef

Xu, X.Y.[Xin-Yu], Li, B.X.[Bao-Xin],
Exploiting Motion Correlations in 3-D Articulated Human Motion Tracking,
IP(18), No. 6, June 2009, pp. 1292-1303.
IEEE DOI 0905
BibRef
Earlier:
Learning Motion Correlation for Tracking Articulated Human Body with a Rao-Blackwellised Particle Filter,
ICCV07(1-8).
IEEE DOI 0710
BibRef

Moreno-Noguer, F.[Francesc], Sanfeliu, A.[Alberto], Samaras, D.[Dimitris],
Dependent Multiple Cue Integration for Robust Tracking,
PAMI(30), No. 4, April 2008, pp. 670-685.
IEEE DOI 0803
BibRef
Earlier:
A Target Dependent Colorspace for Robust Tracking,
ICPR06(III: 43-46).
IEEE DOI 0609
BibRef
Earlier:
Fusion of a Multiple Hypotheses Color Model and Deformable Contours for Figure Ground Segmentation in Dynamic Environments,
Non-Rigid04(13).
IEEE DOI 0502
Discussion:
See also Cues in Dependent Multiple Cue Integration for Robust Tracking Are Independent, The.
See also Integration of Conditionally Dependent Object Features for Robust Figure/Background Segmentation.
See also Integration of deformable contours and a multiple hypotheses Fisher color model for robust tracking in varying illuminant environments. BibRef

Moreno-Noguer, F.[Francesc], Sanfeliu, A.[Alberto],
A Framework to Integrate Particle Filters for Robust Tracking in Non-stationary Environments,
IbPRIA05(I:93).
Springer DOI 0509
BibRef

Sankaranarayanan, A.C.[Aswin C.], Srivastava, A., Chellappa, R.,
Algorithmic and Architectural Optimizations for Computationally Efficient Particle Filtering,
IP(17), No. 5, May 2008, pp. 737-748.
IEEE DOI 0804
BibRef

Moon, H.K.[Han-Kyu], Chellappa, R.[Rama],
3D Shape-Encoded Particle Filter for Object Tracking and Its Application to Human Body Tracking,
JIVP(2008), No. 2008, pp. xx-yy.
DOI Link 0804
BibRef

Moon, H.K.[Han-Kyu], Chellappa, R.[Rama], Rosenfeld, A.[Azriel],
3D Object Tracking Using Shape-Encoded Particle Propagation,
ICCV01(II: 307-314).
IEEE DOI 0106
BibRef
And:
Tracking of Human Activities Using Shape-encoded Particle Propagation,
ICIP01(I: 357-360).
IEEE DOI 0108
BibRef

Li, Y.[Yuan], Ai, H.Z.[Hai-Zhou], Yamashita, T.[Takayoshi], Lao, S.H.[Shi-Hong], Kawade, M.[Masato],
Tracking in Low Frame Rate Video: A Cascade Particle Filter with Discriminative Observers of Different Life Spans,
PAMI(30), No. 10, October 2008, pp. 1728-1740.
IEEE DOI 0810
BibRef
Earlier: CVPR07(1-8).
IEEE DOI Award, CVPR, Student. 0706
BibRef

Nikitidis, S., Zafeiriou, S.P., Pitas, I.,
Camera Motion Estimation Using a Novel Online Vector Field Model in Particle Filters,
CirSysVideo(18), No. 8, August 2008, pp. 1028-1039.
IEEE DOI 0809
BibRef

Li, J.[Jiang], Chua, C.S.[Chin-Seng],
Transductive local exploration particle filter for object tracking,
IVC(25), No. 5, 1 May 2007, pp. 544-552.
Elsevier DOI 0703
BibRef
Earlier:
Transductive inference for color-based particle filter tracking,
ICIP03(III: 949-952).
IEEE DOI 0312
Object tracking; Particle filter; Transductive learning; Color model adaptation BibRef

Ren, Y.[Ying], Chua, C.S.[Chin Seng],
Bilateral learning for color-based tracking,
IVC(26), No. 11, 1 November 2008, pp. 1530-1539.
Elsevier DOI 0804
Color-based tracking; Color model adaptation; Bilateral Learning (BL) BibRef

Chen, C., Schonfeld, D.[Dan],
A Particle Filtering Framework for Joint Video Tracking and Pose Estimation,
IP(19), No. 6, June 2010, pp. 1625-1634.
IEEE DOI 1006
BibRef

Bouaynaya, N., Schonfeld, D.,
On the Optimality of Motion-Based Particle Filtering,
CirSysVideo(19), No. 7, July 2009, pp. 1068-1072.
IEEE DOI 0909
BibRef

Lei, Y.[Yun], Ding, X.Q.[Xiao-Qing], Wang, S.J.[Sheng-Jin],
Visual Tracker Using Sequential Bayesian Learning: Discriminative, Generative, and Hybrid,
SMC-B(38), No. 6, December 2008, pp. 1578-1591.
IEEE DOI 0812
BibRef
Earlier:
AdaBoost Tracker Embedded in Adaptive Particle Filtering,
ICPR06(IV: 939-943).
IEEE DOI 0609
BibRef
And:
Adaptive Sparse Vector Tracking Via Online Bayesian Learning,
IWICPAS06(35-45).
Springer DOI 0608
Construct object and track. BibRef

Lao, Y., Zhu, J., Zheng, Y.F.,
Sequential Particle Generation for Visual Tracking,
CirSysVideo(19), No. 9, September 2009, pp. 1365-1378.
IEEE DOI 0909
BibRef

Zhu, J., Lao, Y., Zheng, Y.F.,
Object Tracking in Structured Environments for Video Surveillance Applications,
CirSysVideo(20), No. 2, February 2010, pp. 223-235.
IEEE DOI 1003
Object motion is constrained by the environment. BibRef

Cabido, R.[Raúl], Montemayor, A.S.[Antonio S.], Pantrigo, J.J.[Juan José], Payne, B.R.[Bryson R.],
Multiscale and local search methods for real time region tracking with particle filters: local search driven by adaptive scale estimation on GPUs,
MVA(21), No. 1, November 2009, pp. xx-yy.
Springer DOI 0911
BibRef

Cabido, R.[Raúl], Montemayor, A.S.[Antonio S.], Pantrigo, J.J.[Juan José], Martínez-Zarzuela, M., Payne, B.R.[Bryson R.],
High-performance template tracking,
JVCIR(23), No. 2, February 2012, pp. 271-286.
Elsevier DOI 1201
Visual tracking; Template tracking; Multiview tracking; Face tracking; Real time; Particle filters; GPGPU; High-performance BibRef

Yao, A.B.[An-Bang], Wang, G.J.[Gui-Jin], Lin, X.G.[Xing-Gang], Chai, X.J.[Xiu-Juan],
An incremental Bhattacharyya dissimilarity measure for particle filtering,
PR(43), No. 4, April 2010, pp. 1244-1256.
Elsevier DOI 1002
Visual tracking; Particle filtering; Mixture of Gaussian; Bhattacharyya dissimilarity BibRef

Yao, A.B.[An-Bang], Lin, X.G.[Xing-Gang], Wang, G.J.[Gui-Jin], Yu, S.[Shan],
A compact association of particle filtering and kernel based object tracking,
PR(45), No. 7, July 2012, pp. 2584-2597.
Elsevier DOI 1203
Visual tracking; Particle filtering; Kernel based object tracking; Matrix condition number BibRef

Pistori, H.[Hemerson], Aguiar Odakura, V.V.V.[Valguima Victoria Viana], Oliveira Monteiro, J.B.[Joao Bosco], Goncalves, W.N.[Wesley Nunes], Roel, A.R.[Antonia Railda], de Andrade Silva, J.[Jonathan], Machado, B.B.[Bruno Brandoli],
Mice and larvae tracking using a particle filter with an auto-adjustable observation model,
PRL(31), No. 4, 1 March 2010, pp. 337-346.
Elsevier DOI 1002
Particle filters; Animal tracking; Dengue BibRef

Nigam, C.[Chhabi], Babu, R.V.[R. Venkatesh], Raja, S.K.[S. Kumar], Ramakrishnan, K.R.,
Fragmented Particles-based Robust Object Tracking With Feature Fusion,
IJIG(10), No. 1, January 2010, pp. 93-112.
DOI Link 1003
BibRef
Earlier:
Feature Fusion for Robust Object Tracking Using Fragmented Particles,
ICDSC07(283-290).
IEEE DOI 0709
BibRef

Lakaemper, R.[Rolf], Sobel, M.[Marc],
Using the Particle Filter Approach to Building Partial Correspondences Between Shapes,
IJCV(88), No. 1, May 2010, pp. xx-yy.
Springer DOI 1003
BibRef
Earlier:
Correspondences between parts of shapes with particle filters,
CVPR08(1-8).
IEEE DOI 0806
BibRef

Lakaemper, R.[Rolf], Li, S.S.[Shu-Sha], Sobel, M.[Marc],
Correspondences of point sets using Particle Filters,
ICPR08(1-5).
IEEE DOI 0812
BibRef

Banerjee, A., Burlina, P.,
Efficient Particle Filtering via Sparse Kernel Density Estimation,
IP(19), No. 9, September 2010, pp. 2480-2490.
IEEE DOI 1008
BibRef

Yoder, J., Medeiros, H.[Henry], Park, J.[Johnny], Kak, A.C.[Avinash C.],
Cluster-Based Distributed Face Tracking in Camera Networks,
IP(19), No. 10, October 2010, pp. 2551-2563.
IEEE DOI 1003
BibRef
Earlier: A2, A3, A4, Only:
Distributed Object Tracking Using a Cluster-Based Kalman Filter in Wireless Camera Networks,
SelectedSP(2), No. 4, August, 2008, pp. 448-463.
IEEE DOI BibRef
And: A2, A3, A4, Only:
A parallel color-based particle filter for object tracking,
EmbedCV08(1-8).
IEEE DOI
PDF File. 0806
BibRef

Medeiros, H.[Henry], Gao, X.T.[Xin-Ting], Kleihorst, R.P.[Richard P.], Park, J.[Johnny], Kak, A.C.[Avinash C.],
A Parallel Implementation of the Color-Based Particle Filter for Object Tracking,
SenSys08(xx-yy).
PDF File. BibRef 0800

Medeiros, H.[Henry], Holguin, G.[German], Shin, P.J.[Paul J.], Park, J.[Johnny],
A parallel histogram-based particle filter for object tracking on SIMD-based smart cameras,
CVIU(114), No. 11, November 2010, pp. 1264-1272.
Elsevier DOI 1011
Tracking; Particle filter; Smart cameras; SIMD processors BibRef

Saha, S.[Sankalita], Bambha, N.K.[Neal K.], Bhattacharyya, S.S.[Shuvra S.],
Design and implementation of embedded computer vision systems based on particle filters,
CVIU(114), No. 11, November 2010, pp. 1203-1214.
Elsevier DOI 1011
Design space exploration; Particle filters; Reconfigurable platforms BibRef

Prakash, R.S.[R. Senthil], Aravind, R.,
Object tracking using AM-FM image features,
IET-CV(4), No. 4, December 2010, pp. 295-305.
DOI Link 1011
BibRef
Earlier:
Modulation-domain particle filter for template tracking,
ICPR08(1-4).
IEEE DOI 0812
BibRef

Dunne, P.[Peter], Matuszewski, B.J.[Bogdan J.],
Choice of similarity measure, likelihood function and parameters for histogram based particle filter tracking in CCTV grey scale video,
IVC(29), No. 2-3, February 2011, pp. 178-189.
Elsevier DOI 1101
Particle filter; Similarity measure; Likelihood; Grey scale; Histogram intersection BibRef

Matov, A.[Alexandre], Edvall, M.M.[Marcus M.], Yang, G.[Ge], Danuser, G.[Gaudenz],
Optimal-flow minimum-cost correspondence assignment in particle flow tracking,
CVIU(115), No. 4, April 2011, pp. 531-540.
Elsevier DOI 1103
Particle tracking; Vector field; Multi-directional flows; Graph algorithms; Multi-objective optimization BibRef

Ortiz, A.[Alberto], Antich, J.[Javier], Oliver, G.[Gabriel],
A particle filter-based approach for tracking undersea narrow telecommunication cables,
MVA(22), No. 2, March 2011, pp. 283-302.
WWW Link. 1103
BibRef

del Bimbo, A.[Alberto], Dini, F.[Fabrizio],
Particle filter-based visual tracking with a first order dynamic model and uncertainty adaptation,
CVIU(115), No. 6, June 2011, pp. 771-786.
Elsevier DOI 1104
Adaptive Particle Filter; Visual tracking; Uncertainty adaptation; First order dynamic model BibRef

Bagdanov, A.D.[Andrew D.], del Bimbo, A.[Alberto], Dini, F.[Fabrizio], Nunziati, W.[Walter],
Improving the robustness of particle filter-based visual trackers using online parameter adaptation,
AVSBS07(218-223).
IEEE DOI 0709
BibRef
And:
Adaptive uncertainty estimation for particle filter-based trackers,
CIAP07(331-336).
IEEE DOI 0709
BibRef

Yin, S.M.[Shi-Min], Na, J.H.[Jin Hee], Choi, J.Y.[Jin Young], Oh, S.H.[Song-Hwai],
Hierarchical Kalman-particle filter with adaptation to motion changes for object tracking,
CVIU(115), No. 6, June 2011, pp. 885-900.
Elsevier DOI 1104
Hierarchical estimation; Coarse-to-fine; Particle filter; Kalman filter BibRef

Widynski, N.[Nicolas], Dubuisson, S.[Severine], Bloch, I.[Isabelle],
Integration of Fuzzy Spatial Information in Tracking Based on Particle Filtering,
SMC-B(41), No. 3, June 2011, pp. 635-649.
IEEE DOI 1106
BibRef
Earlier:
Particle filtering with fuzzy spatial relations for object tracking,
IPTA10(391-396).
IEEE DOI 1007
BibRef

Toivanen, M.[Miika], Lampinen, J.[Jouko],
Incremental object matching and detection with Bayesian methods and particle filters,
IET-CV(5), No. 4, 2011, pp. 201-210.
DOI Link 1107
BibRef
Earlier:
Incremental Object Matching with Bayesian Methods and Particle Filters,
DICTA09(111-118).
IEEE DOI 0912
BibRef

Kim, M.Y.[Min-Young],
Correlation-based incremental visual tracking,
PR(45), No. 3, March 2012, pp. 1050-1060.
Elsevier DOI 1111
Canonical correlation analysis; Incremental subspace learning; Visual tracking; Particle filtering BibRef

Husz, Z.L.[Zsolt L.], Wallace, A.M.[Andrew M.], Green, P.R.[Patrick R.],
Tracking With a Hierarchical Partitioned Particle Filter and Movement Modelling,
SMC-B(41), No. 6, December 2011, pp. 1571-1584.
IEEE DOI 1112

See also Behavioural Analysis with Movement Cluster Model for Concurrent Actions. BibRef

Erdem, E.[Erkut], Dubuisson, S.[Séverine], Bloch, I.[Isabelle],
Visual tracking by fusing multiple cues with context-sensitive reliabilities,
PR(45), No. 5, May 2012, pp. 1948-1959.
Elsevier DOI 1201
Visual tracking; Data fusion; Multiple cues; Particle filter BibRef

Erdem, E.[Erkut], Dubuisson, S.[Séverine], Bloch, I.[Isabelle],
Fragments based tracking with adaptive cue integration,
CVIU(116), No. 7, July 2012, pp. 827-841.
Elsevier DOI 1202
Video sequences; Object tracking; Particle filter; Fragment-based trackers; Adaptive cue integration BibRef

Akin, O.[Osman], Erdem, E.[Erkut], Erdem, A.[Aykut], Mikolajczyk, K.[Krystian],
Deformable part-based tracking by coupled global and local correlation filters,
JVCIR(38), No. 1, 2016, pp. 763-774.
Elsevier DOI 1605
Visual tracking BibRef

Kerim, A.[Abdulrahman], Ramos, W.L.S.[Washington L. S.], Marcolino, L.S.[Leandro Soriano], Nascimento, E.R.[Erickson R.], Jiang, R.[Richard],
Leveraging Synthetic Data to Learn Video Stabilization Under Adverse Conditions,
WACV24(6916-6925)
IEEE DOI Code:
WWW Link. 2404
Training, Training data, Benchmark testing, Feature extraction, Generators, Data mining, Algorithms, Video recognition and understanding BibRef

Kerim, A.[Abdulrahman], Celikcan, U.[Ufuk], Erdem, E.[Erkut], Erdem, A.[Aykut],
Using synthetic data for person tracking under adverse weather conditions,
IVC(111), 2021, pp. 104187.
Elsevier DOI 2106
Person tracking, Synthetic data, Rendering, Procedural generation BibRef

El Abed, A.[Abir], Dubuisson, S.[Séverine], Béréziat, D.[Dominique],
Spatio-temporal target-measure association using an adaptive geometrical approach,
PRL(33), No. 6, 15 April 2012, pp. 765-774.
Elsevier DOI 1203
Data association; Target tracking; State and measure spaces BibRef

Li, G.R.[Guo-Rong], Huang, Q.M.[Qing-Ming], Pang, J.B.[Jun-Biao], Jiang, S.Q.[Shu-Qiang], Qin, L.[Lei],
Online selection of the best k-feature subset for object tracking,
JVCIR(23), No. 2, February 2012, pp. 254-263.
Elsevier DOI 1201
Object tracking; Feature subset selection; Feature selection; Feature subset tree; Conditional entropy; Greedy search algorithm; Particle filter; Online selection BibRef

Ho, M.C.[Ming-Che], Chiang, C.C.[Cheng-Chin], Su, Y.Y.[Ying-Yu],
Object tracking by exploiting adaptive region-wise linear subspace representations and adaptive templates in an iterative particle filter,
PRL(33), No. 5, 1 April 2012, pp. 500-512.
Elsevier DOI 1202
Object tracking; Region-wise linear subspace (RWLS); Iterative particle filter; Incremental PCA BibRef

Zhao, X.Y.[Xin-Yue], Satoh, Y.[Yutaka], Takauji, H.[Hidenori], Kaneko, S.[Shun'ichi],
Robust Tracking Using Particle Filter with a Hybrid Feature,
IEICE(E95-D), No. 2, February 2012, pp. 646-657.
WWW Link. 1202
BibRef

Li, M.[Min], Tan, T.N.[Tie-Niu], Chen, W.[Wei], Huang, K.Q.[Kai-Qi],
Efficient Object Tracking by Incremental Self-Tuning Particle Filtering on the Affine Group,
IP(21), No. 3, March 2012, pp. 1298-1313.
IEEE DOI 1203
BibRef
Earlier: A1, A3, A4, A2:
Visual tracking via incremental self-tuning particle filtering on the affine group,
CVPR10(1315-1322).
IEEE DOI 1006
BibRef

Ding, J.W.[Jian-Wei], Huang, K.Q.[Kai-Qi], Tan, T.N.[Tie-Niu],
Tracking Blurred Object with Data-Driven Tracker,
AVSS12(331-336).
IEEE DOI 1211
BibRef

Ding, J.W.[Jian-Wei], Huang, Y., Liu, W., Huang, K.Q.[Kai-Qi],
Severely Blurred Object Tracking by Learning Deep Image Representations,
CirSysVideo(26), No. 2, February 2016, pp. 319-331.
IEEE DOI 1602
Algorithm design and analysis BibRef

Liu, Z.[Zhou], Huang, K.Q.[Kai-Qi], Tan, T.N.[Tie-Niu],
Foreground Object Detection Using Top-Down Information Based on EM Framework,
IP(21), No. 9, September 2012, pp. 4204-4217.
IEEE DOI 1208
BibRef

Liu, Z.[Zhou], Chen, W.[Wei], Huang, K.Q.[Kai-Qi], Tan, T.N.[Tie-Niu],
A Probabilistic Framework Based on KDE-GMM hybrid model(KGHM) for Moving Object Segmentation in Dynamic Scenes,
VS08(xx-yy). 0810
BibRef

Wang, Y.[Yuru], Tang, X.L.[Xiang-Long], Cui, Q.[Qing],
Dynamic appearance model for particle filter based visual tracking,
PR(45), No. 12, December 2012, pp. 4510-4523.
Elsevier DOI 1208
Visual tracking; Dynamic appearance model; Multi-cue BibRef

Closas, P., Bugallo, M.F.,
Improving Accuracy by Iterated Multiple Particle Filtering,
SPLetters(19), No. 8, August 2012, pp. 531-534.
IEEE DOI 1208
BibRef

Hassan, W.[Waqas], Bangalore, N.[Nagachetan], Birch, P.[Philip], Young, R.C.D.[Rupert C.D.], Chatwin, C.R.[Chris R.],
An adaptive sample count particle filter,
CVIU(116), No. 12, December 2012, pp. 1208-1222.
Elsevier DOI 1210
Object tracking; Variable sampling; Particle filter; Active contour BibRef

Hassan, W., Birch, P., Mitra, B., Bangalore, N., Young, R.C.D., Chatwin, C.R.,
Illumination invariant stationary object detection,
IET-CV(7), No. 1, 2013, pp. 1-8.
DOI Link 1307
BibRef

Kim, D.Y.[Du Yong], Jeon, M.[Moongu],
Spatio-Temporal Auxiliary Particle Filtering With L_1-Norm-Based Appearance Model Learning for Robust Visual Tracking,
IP(22), No. 2, February 2013, pp. 511-522.
IEEE DOI 1302
BibRef

Kim, D.Y.[Du Yong],
Visual multiple-object tracking for unknown clutter rate,
IET-CV(12), No. 5, August 2018, pp. 728-734.
DOI Link 1807
BibRef

Kim, D.Y.[Du Yong], Yang, E.[Ehwa], Jeon, M.[Moongu], Shin, V.[Vladimir],
Robust Auxiliary Particle Filter with an Adaptive Appearance Model for Visual Tracking,
ACCV10(III: 718-731).
Springer DOI 1011
BibRef
Earlier:
Receding Horizon Estimation for Hybrid Particle Filters and Application for Robust Visual Tracking,
ICPR10(3508-3512).
IEEE DOI 1008
BibRef

Lu, X.Q.[Xiao-Qiang], Yuan, Y.[Yuan], Yan, P.K.[Ping-Kun],
Robust visual tracking with discriminative sparse learning,
PR(46), No. 7, July 2013, pp. 1762-1771.
Elsevier DOI 1303
Visual tracking; Sparse representation; Particle filter; Non-local self-similarity BibRef

Fang, J., Wang, Q., Yuan, Y.,
Part-Based Online Tracking With Geometry Constraint and Attention Selection,
CirSysVideo(24), No. 5, May 2014, pp. 854-864.
IEEE DOI 1405
Boosting BibRef

Chien, S.Y., Chan, W.K., Tseng, Y.H., Chen, H.Y.,
Video Object Segmentation and Tracking Framework with Improved Threshold Decision and Diffusion Distance,
CirSysVideo(23), No. 6, 2013, pp. 921-934.
IEEE DOI 1307
Lighting; Object segmentation; particle filter BibRef

Kwon, J.H.[Jung-Hyun], Lee, H.S.[Hee Seok], Park, F.C., Lee, K.M.[Kyoung Mu],
A Geometric Particle Filter for Template-Based Visual Tracking,
PAMI(36), No. 4, April 2014, pp. 625-643.
IEEE DOI 1404
Algebra BibRef

Chen, S.[Shu], Zou, B.J.[Bei-Ji], Li, L.Z.[Ling-Zhi],
A novel particle filter with implicit dynamic model for irregular motion tracking,
MVA(24), No. 7, October 2013, pp. 1487-1499.
WWW Link. 1309
BibRef

Dinh, T.B.[Thang Ba], Yu, Q.[Qian], Medioni, G.[Gérard],
Co-trained generative and discriminative trackers with cascade particle filter,
CVIU(119), No. 1, 2014, pp. 41-56.
Elsevier DOI 1402
Visual tracking BibRef

Su, Y.Y.[Ying-Ya], Zhao, Q.J.[Qing-Jie], Zhao, L.J.[Liu-Jun], Gu, D.B.[Dong-Bing],
Abrupt motion tracking using a visual saliency embedded particle filter,
PR(47), No. 5, 2014, pp. 1826-1834.
Elsevier DOI 1402
Object tracking BibRef

Xu, D.J.[Ding-Jie], Shen, C.[Chen], Shen, F.[Feng],
A Robust Particle Filtering Algorithm With Non-Gaussian Measurement Noise Using Student-t Distribution,
SPLetters(21), No. 1, January 2014, pp. 30-34.
IEEE DOI 1402
Bayes methods BibRef

Kim, J.[Jungho], Lin, Z.[Zhe], Kweon, I.S.[In So],
Rao-Blackwellized particle filtering with Gaussian mixture models for robust visual tracking,
CVIU(125), No. 1, 2014, pp. 128-137.
Elsevier DOI 1406
Visual tracking BibRef

Jiang, H.[Hong], Xu, L.[Long], Zhan, K.[Kun],
Joint tracking and classification based on aerodynamic model and radar cross section,
PR(47), No. 9, 2014, pp. 3096-3105.
Elsevier DOI 1406
Interacting multiple model regularized particle filter BibRef

Zhou, H.Y.[Hui-Yu], Fei, M.R.[Min-Rui], Sadka, A.[Abdul], Zhang, Y.[Yi], Li, X.L.[Xue-Long],
Adaptive fusion of particle filtering and spatio-temporal motion energy for human tracking,
PR(47), No. 11, 2014, pp. 3552-3567.
Elsevier DOI 1407
Computer vision BibRef

Wang, X.Y.[Xiang-Yang], Wang, Y.[Ying], Wan, W.G.[Wang-Gen], Hwang, J.N.[Jenq-Neng],
Object tracking with sparse representation and annealed particle filter,
SIViP(8), No. 6, September 2014, pp. 1059-1068.
Springer DOI 1408
BibRef

Eskil, M.T.[M. Taner],
Factored particle filtering with dependent and constrained partition dynamics for tracking deformable objects,
MVA(25), No. 7, October 2014, pp. 1825-1840.
WWW Link. 1410
BibRef

Bazzani, L.[Loris], Zanotto, M., Cristani, M.[Marco], Murino, V.[Vittorio],
Joint Individual-Group Modeling for Tracking,
PAMI(37), No. 4, April 2015, pp. 746-759.
IEEE DOI 1503
Analytical models BibRef
Earlier: A1, A3, A4, Only:
Decentralized particle filter for joint individual-group tracking,
CVPR12(1886-1893).
IEEE DOI 1208
BibRef
Earlier: A1, A3, A4, Only:
Collaborative particle filters for group tracking,
ICIP10(837-840).
IEEE DOI 1009
BibRef

Seifzadeh, S., Khaleghi, B., Karray, F.,
Distributed Soft-Data-Constrained Multi-Model Particle Filter,
Cyber(45), No. 3, March 2015, pp. 384-394.
IEEE DOI 1502
Atmospheric measurements BibRef

Fan, B.J.[Bao-Jie], Gao, H.[Hao], Cong, Y.[Yang], Du, Y.K.[Ying-Kui], Tang, Y.D.[Yang-Dong],
Online Learning a High-Quality Dictionary and Classifier Jointly for Multitask Object Tracking,
MultMedMag(21), No. 4, October 2014, pp. 56-66.
IEEE DOI 1502
object tracking in a particle filter framework as a binary classification problem BibRef

Fan, B.J.[Bao-Jie], Li, X., Cong, Y.[Yang],
Layered Multitask Tracker via Spatial-Temporal Laplacian Graph,
SPLetters(24), No. 12, December 2017, pp. 1768-1772.
IEEE DOI 1712
graph theory, image sequences, learning (artificial intelligence), object tracking, weighted similarity map BibRef

Fan, B.J.[Bao-Jie], Li, X.M.[Xiao-Mao], Cong, Y.[Yang], Tang, Y.D.[Yan-Dong],
Structured and weighted multi-task low rank tracker,
PR(81), 2018, pp. 528-544.
Elsevier DOI 1806
Robust multi-subtask learning, Structured and weighted low rank, Normalized collaboration metric BibRef

Fan, H.J.[Hui-Jie], Yu, Z.C.[Zhen-Cheng], Wang, Q.[Qiang], Fan, B.J.[Bao-Jie], Tang, Y.D.[Yan-Dong],
QueryTrack: Joint-Modality Query Fusion Network for RGBT Tracking,
IP(33), 2024, pp. 3187-3199.
IEEE DOI 2405
Target tracking, Feature extraction, Transformers, Head, Task analysis, Correlation, Robot kinematics, Multi-modal fusion, vision transformer BibRef

Li, T., Bolic, M., Djuric, P.M.,
Resampling Methods for Particle Filtering: Classification, implementation, and strategies,
SPMag(32), No. 3, May 2015, pp. 70-86.
IEEE DOI 1504
Approximation algorithms BibRef

Choe, G.M.[Gwang-Min], Wang, T.J.[Tian-Jiang], Liu, F.[Fang], Hyon, S.[Suchol], Ha, J.W.[Jong-Won],
Particle filter with spline resampling and global transition model,
IET-CV(9), No. 2, 2015, pp. 184-197.
DOI Link 1506
object tracking BibRef

Ploumpis, S.[Stylianos], Amanatiadis, A.[Angelos], Gasteratos, A.[Antonios],
A stereo matching approach based on particle filters and scattered control landmarks,
IVC(38), No. 1, 2015, pp. 13-23.
Elsevier DOI 1506
Stereo matching BibRef

Shabat, G., Shmueli, Y., Bermanis, A., Averbuch, A.,
Accelerating Particle Filter Using Randomized Multiscale and Fast Multipole Type Methods,
PAMI(37), No. 7, July 2015, pp. 1396-1407.
IEEE DOI 1506
Acceleration BibRef

Syamsuddin, M.R.[Muhammad Rusdi], Kim, J.[Jimwook], Lee, S.H.[Sung-Hee],
Force Field-Based Control of Dynamic Particles with User-Specified Paths,
IJIG(15), No. 03, 2015, pp. 1550009.
DOI Link 1506
BibRef

Fan, Z.H.[Zhen-Hua], Ji, H.B.[Hong-Bing], Zhang, Y.Q.[Yong-Quan],
Iterative particle filter for visual tracking,
SP:IC(36), No. 1, 2015, pp. 140-153.
Elsevier DOI 1509
Visual tracking BibRef

Cheng, X.[Xuan], Ji, H.B.[Hong-Bing], Zhang, Y.Q.[Yong-Quan],
Multiple Extended Target Joint Tracking and Classification Based on GPs and LMB Filter,
SPLetters(31), 2024, pp. 1139-1143.
IEEE DOI 2405
Classification algorithms, Target tracking, Signal processing algorithms, Filtering algorithms, Shape, labeled multi-Bernoulli (LMB) filter BibRef

Lin, S.D., Lin, J., Chuang, C.,
Particle filter with occlusion handling for visual tracking,
IET-IPR(9), No. 11, 2015, pp. 959-968.
DOI Link 1511
computer vision BibRef

Muthuswamy, K., Rajan, D.,
Particle filter framework for salient object detection in videos,
IET-CV(9), No. 3, 2015, pp. 428-438.
DOI Link 1507
BibRef
And:
Salient object detection in tracking shots,
ICPR16(1780-1785)
IEEE DOI 1705
image colour analysis. Automobiles, Cameras, Image reconstruction, Laplace equations, Object recognition, Tracking, Visualization BibRef

Abdelali, H.A.[Hamd Ait], Essannouni, F.[Fedwa], Essannouni, L.[Leila], Aboutajdine, D.[Driss],
Fast and robust object tracking via Accept-Reject color histogram-based method,
JVCIR(34), No. 1, 2016, pp. 219-229.
Elsevier DOI 1601
BibRef
Earlier:
A new moving object tracking method using particle filter and probability product kernel,
ISCV15(1-6)
IEEE DOI 1506
computer vision BibRef

Zhao, H.Q.[Hou-Qiang], Xiang, K.[Ke], Cao, S.X.[Song-Xiao], Wang, X.Y.[Xuan-Yin],
Robust visual tracking via CAMShift and structural local sparse appearance model,
JVCIR(34), No. 1, 2016, pp. 176-186.
Elsevier DOI 1601
Visual tracking BibRef

Yu, J.Y., Coates, M.J., Rabbat, M.G., Blouin, S.,
A Distributed Particle Filter for Bearings-Only Tracking on Spherical Surfaces,
SPLetters(23), No. 3, March 2016, pp. 326-330.
IEEE DOI 1603
linearisation techniques BibRef

Li, W.[Wanyi], Wang, P.[Peng], Qiao, H.[Hong],
Top-down visual attention integrated particle filter for robust object tracking,
SP:IC(43), No. 1, 2016, pp. 28-41.
Elsevier DOI 1604
Object tracking BibRef

Shan, D.J.[Dong-Jing], Chao, Z.[Zhang],
Improved L1-tracker using robust PCA and random projection,
MVA(27), No. 4, May 2016, pp. 577-583.
Springer DOI 1605
BibRef

Hsia, C.H.[Chih-Hsien], Liou, Y.J.[Yun-Jung], Chiang, J.S.[Jen-Shiun],
Directional Prediction CamShift algorithm based on Adaptive Search Pattern for moving object tracking,
RealTimeIP(12), No. 1, June 2016, pp. 183-195.
WWW Link. 1606
BibRef

Fan, B.J.[Bao-Jie], Cong, Y.[Yang],
Consistent multi-layer subtask tracker via hyper-graph regularization,
PR(67), No. 1, 2017, pp. 299-312.
Elsevier DOI 1704
Multi-layer subtask learning BibRef

Fan, B.J.[Bao-Jie], Cong, Y.[Yang], Li, X.M.[Xiao-Mao], Tang, Y.D.[Yan-Dong],
Structured low rank tracker with smoothed regularization,
VCIP16(1-4)
IEEE DOI 1701
low rank learning algorithm with smoothed regularization for tracking. BibRef

Fan, B.J.[Bao-Jie], Cong, Y.[Yang], Tang, Y.D.[Yan-Dong], Tian, J.D.[Jian-Dong], Xu, C.L.[Chen-Liang],
Structured and Consistent Multi-Layer Multi-Kernel Subtask Correction Filter Tracker,
CirSysVideo(31), No. 6, June 2021, pp. 2328-2342.
IEEE DOI 2106
Target tracking, Correlation, Kernel, Feature extraction, Robustness, Layered multi-subtask multi-kernel learning, object tracking BibRef

Ahmadi, K.[Kaveh], Salari, E.[Ezzatollah],
Social-spider optimised particle filtering for tracking of targets with discontinuous measurement data,
IET-CV(11), No. 3, April 2017, pp. 246-254.
DOI Link 1704
BibRef

Rohilla, R.[Rajesh], Sikri, V.[Vanshaj], Kapoor, R.[Rajiv],
Spider monkey optimisation assisted particle filter for robust object tracking,
IET-CV(11), No. 3, April 2017, pp. 207-219.
DOI Link 1704
BibRef

Amor, N., Bouaynaya, N.C., Shterenberg, R., Chebbi, S.,
On the Convergence of Constrained Particle Filters,
SPLetters(24), No. 6, June 2017, pp. 858-862.
IEEE DOI 1705
Convergence, Estimation error, Filtering, Kernel, Probability density function, State-space methods, Constrained particle filter, convergence BibRef

Morales, N., Toledo, J., Acosta, L., Sánchez-Medina, J.,
A Combined Voxel and Particle Filter-Based Approach for Fast Obstacle Detection and Tracking in Automotive Applications,
ITS(18), No. 7, July 2017, pp. 1824-1834.
IEEE DOI 1706
Cameras, Laser radar, Motion estimation, Radar tracking, Tracking, Vehicles, Motion estimation, artificial intelligence, autonomous vehicles, object tracking, sensor, fusion BibRef

Jenkins, M.D., Barrie, P., Buggy, T., Morison, G.,
Selective Sampling Importance Resampling Particle Filter Tracking With Multibag Subspace Restoration,
Cyber(48), No. 1, January 2018, pp. 264-276.
IEEE DOI 1801
Adaptation models, Heuristic algorithms, Image restoration, Motion estimation, Object tracking, Particle filters, selective sampling importance resampling (SSIR) BibRef

Lamberti, R., Petetin, Y., Desbouvries, F., Septier, F.,
Semi-Independent Resampling for Particle Filtering,
SPLetters(25), No. 1, January 2018, pp. 130-134.
IEEE DOI 1801
importance sampling, particle filtering (numerical methods), signal sampling, statistical analysis, high-dimensional models, sequential Monte Carlo algorithms BibRef

Ding, M.[Meng], Wei, L.[Li], Cao, Y.F.[Yun-Feng], Wang, J.[Jie], Cao, L.[Li],
Visual tracking using locality-constrained linear coding under a particle filtering framework,
IET-CV(12), No. 2, March 2018, pp. 196-207.
DOI Link 1804
BibRef

Ding, M.[Meng], Yao, Y.H.[Yu-Heng], Wei, L.[Li], Cao, Y.F.[Yun-Feng],
Visual tracking using Locality-constrained Linear Coding and saliency map for visible light and infrared image sequences,
SP:IC(68), 2018, pp. 13-25.
Elsevier DOI 1810
Visual tracking, Visible light image, Infrared image, Locality-constrained Linear Coding, Particle filtering BibRef

Zhang, T.Z.[Tian-Zhu], Liu, S., Xu, C.S.[Chang-Sheng], Liu, B., Yang, M.H.[Ming-Hsuan],
Correlation Particle Filter for Visual Tracking,
IP(27), No. 6, June 2018, pp. 2676-2687.
IEEE DOI 1804
object tracking, particle filtering (numerical methods), target tracking, conventional particle filters, particle filter
See also Robust Structural Sparse Tracking. BibRef

Zhang, T.Z.[Tian-Zhu], Xu, C.S.[Chang-Sheng], Yang, M.H.[Ming-Hsuan],
Learning Multi-Task Correlation Particle Filters for Visual Tracking,
PAMI(41), No. 2, February 2019, pp. 365-378.
IEEE DOI 1901
BibRef
Earlier:
Multi-task Correlation Particle Filter for Robust Object Tracking,
CVPR17(4819-4827)
IEEE DOI 1711
Target tracking, Correlation, Visualization, Robustness, Computational modeling, Task analysis, Visual tracking, particle filter. Benchmark testing, Computational efficiency, Correlation, Robustness.
See also Robust Visual Tracking via Structured Multi-Task Sparse Learning. BibRef

Zuo, W.M.[Wang-Meng], Wu, X.H.[Xiao-He], Lin, L.[Liang], Zhang, L.[Lei], Yang, M.H.[Ming-Hsuan],
Learning Support Correlation Filters for Visual Tracking,
PAMI(41), No. 5, May 2019, pp. 1158-1172.
IEEE DOI 1904
Correlation, Support vector machines, Visualization, Target tracking, Kernel, Discrete Fourier transforms, Training, max-margin learning BibRef

Zhao, B.[Bo], Ma, S.[Sugang], Zhao, Z.X.[Zhi-Xian], Zhang, L.[Lei], Hou, Z.Q.[Zhi-Qiang],
Joint Learning Spatial-Temporal Attention Correlation Filters for Aerial Tracking,
SPLetters(31), 2024, pp. 686-690.
IEEE DOI 2403
Target tracking, Filtering algorithms, Information filters, Training, Signal processing algorithms, Correlation, dual regularization BibRef

Li, F.[Feng], Tian, C.[Cheng], Zuo, W.M.[Wang-Meng], Zhang, L.[Lei], Yang, M.H.[Ming-Hsuan],
Learning Spatial-Temporal Regularized Correlation Filters for Visual Tracking,
CVPR18(4904-4913)
IEEE DOI 1812
Training, Correlation, Visualization, Approximation algorithms, Estimation, Convolution, Real-time systems BibRef

Abdechiri, M.[Marjan], Faez, K.[Karim], Amindavar, H.[Hamidreza], Bilotta, E.[Eleonora],
Chaotic target representation for robust object tracking,
SP:IC(54), No. 1, 2017, pp. 23-35.
Elsevier DOI 1704
Chaos theory BibRef

Firouznia, M.[Marjan], Faez, K.[Karim], Amindavar, H.[Hamidreza], Koupaei, J.A.[Javad Alikhani],
Chaotic particle filter for visual object tracking,
JVCIR(53), 2018, pp. 1-12.
Elsevier DOI 1805
Object tracking, Chaos theory, Particle filter, Global motion estimation, Occlusion, Fast motion BibRef

Firouznia, M.[Marjan], Faez, K.[Karim], Amindavar, H.[Hamidreza], Koupaei, J.A.[Javad Alikhani],
Three-step-ahead prediction for object tracking,
IVC(75), 2018, pp. 11-20.
Elsevier DOI 1807
Multi-step ahead prediction, Fractal theory, Grey theory, Pseudo-orbit, Object tracking BibRef

de Micheaux, H.L.[Hugo Lafaye], Ducottet, C.[Christophe], Frey, P.[Philippe],
Multi-model particle filter-based tracking with switching dynamical state to study bedload transport,
MVA(29), No. 5, July 2018, pp. 735-747.
Springer DOI
WWW Link. 1808
BibRef
Earlier:
Online multi-model particle filter-based tracking to study bedload transport,
ICIP16(3489-3493)
IEEE DOI 1610
Adaptation models BibRef

Concha, D.[David], Cabido, R.[Raúl], Pantrigo, J.J.[Juan José], Montemayor, A.S.[Antonio S.],
Performance evaluation of a 3D multi-view-based particle filter for visual object tracking using GPUs and multicore CPUs,
RealTimeIP(15), No. 2, August 2018, pp. 309-327.
Springer DOI 1808
BibRef

Huan, R.H.[Ruo-Hong], Bao, S.L.[Sheng-Lin], Wang, C.[Chu], Pan, Y.[Yun],
Anti-Occlusion Particle Filter Object-Tracking Method Based on Feature Fusion,
IET-IPR(12), No. 9, September 2018, pp. 1529-1540.
DOI Link 1809
BibRef

Boukhers, Z., Shirahama, K., Grzegorzek, M.,
Example-Based 3D Trajectory Extraction of Objects From 2D Videos,
CirSysVideo(28), No. 9, September 2018, pp. 2246-2260.
IEEE DOI 1809
Cameras, Videos, Trajectory, Feature extraction, Training, Sensors, Trajectory extraction, RJ-MCMC particle filtering BibRef

Al Delail, B.[Buti], Bhaskar, H.[Harish], Zemerly, M.J.[M. Jamal], Al-Mualla, M.[Mohammed],
Robust Likelihood Model for Illumination Invariance in Particle Filtering,
CirSysVideo(28), No. 10, October 2018, pp. 2836-2848.
IEEE DOI 1811
BibRef
Earlier:
Illumination Invariant Robust Likelihood Estimator for Particle Filtering Based Target Tracking,
ISVC15(II: 618-627).
Springer DOI 1601
Target tracking, Lighting, Visualization, Robustness, Image color analysis, Computational modeling, gesture recognition BibRef

Liu, L.[Long], Yan, Z.J.[Zi-Jing], Liu, Q.[Qing],
Panoramic visual tracking based on adaptive mechanism,
JVCIR(57), 2018, pp. 99-106.
Elsevier DOI 1812
Panoramic vision, Target tracking, Particle filtering, Feature fusion, Adaption BibRef

Mahmoud, A.[Ahmed], Sherif, S.S.[Sherif S.],
Robust tracking of multiple objects in video by adaptive fusion of subband particle filters,
IET-CV(12), No. 8, December 2018, pp. 1207-1218.
DOI Link 1812
BibRef

Liu, L.[Long], Xi, Z.H.[Zhao-Hui], Sun, Q.A.[Qi-Ang],
Multi-vision tracking and collaboration based on spatial particle filter,
JVCIR(59), 2019, pp. 316-326.
Elsevier DOI 1903
Visual tracking, Particle filter, Collaboration, Epipolar line, Homography BibRef

Boers, Y., Mandal, P.K.,
Optimal Particle-Filter-Based Detector,
SPLetters(26), No. 3, March 2019, pp. 435-439.
IEEE DOI 1903
particle filtering (numerical methods), probability, signal detection, detection mechanism, likelihood ratio, Neyman Pearson optimality BibRef

Elafi, I.[Issam], Jedra, M.[Mohamed], Zahid, N.[Noureddine],
Unsupervised detection and tracking of moving objects for video surveillance applications,
PRL(84), No. 1, 2016, pp. 70-77.
Elsevier DOI 1612
Particle filter BibRef

Elafi, I.[Issam], Jedra, M.[Mohamed], Zahid, N.[Noureddine],
Tracking objects with co-occurrence matrix and particle filter in infrared video sequences,
IET-CV(12), No. 5, August 2018, pp. 634-639.
DOI Link 1807
BibRef

Elafi, I.[Issam], Jedra, M.[Mohamed], Zahid, N.[Noureddine],
Tracking occluded objects using chromatic co-occurrence matrices and particle filter,
SIViP(12), No. 7, October 2018, pp. 1227-1235.
WWW Link. 1809
BibRef
Earlier:
A novel particle swarm tracking system based on chromatic co-occurrence matrices,
ISCV18(1-8)
IEEE DOI 1807
image motion analysis, image sequences, matrix algebra, object tracking, particle swarm optimisation, tracking object BibRef

Fedele, G., d'Alfonso, L.,
A Kinematic Model for Swarm Finite-Time Trajectory Tracking,
Cyber(49), No. 10, October 2019, pp. 3806-3815.
IEEE DOI 1907
Trajectory, Multi-agent systems, Kinematics, Trajectory tracking, Analytical models, Robot kinematics, Finite-time control, trajectory tracking BibRef

Zhang, C.L.[Can-Long], Tang, Y.P.[Yan-Ping], Li, Z.X.[Zhi-Xin], Wang, Z.W.[Zhi-Wen],
Joint spatiograms for multi-modality tracking with online update,
PRL(127), 2019, pp. 128-137.
Elsevier DOI 1911
Spatiogram, Fuzzy logic, Particle filter, Mean shift BibRef

He, K.J.[Kai-Jie], Zhang, C.L.[Can-Long], Xie, S.[Sheng], Li, Z.X.[Zhi-Xin], Wang, Z.W.[Zhi-Wen], Qin, R.G.[Rui-Guo],
Target-Aware Tracking With Spatial-Temporal Context Attention,
CirSysVideo(34), No. 8, August 2024, pp. 7176-7189.
IEEE DOI Code:
WWW Link. 2408
Target tracking, Feature extraction, Training, Task analysis, Tracking, Transformers, Correlation, Visual tracking, online update, background clutters BibRef

Lim, J., Kim, H., Park, H.,
Interactive-Multiple-Model Algorithm Based on Minimax Particle Filtering,
SPLetters(27), 2020, pp. 36-40.
IEEE DOI 2001
IMM-EKF, minimax, particle filtering, maneuvering, multiple-constant-turns (MCT) model, Markovian switching structure BibRef

Fang, Y.K.[Yong-Kun], Wang, C.[Chao], Yao, W.[Wen], Zhao, X.J.[Xi-Jun], Zhao, H.J.[Hui-Jing], Zha, H.B.[Hong-Bin],
On-Road Vehicle Tracking Using Part-Based Particle Filter,
ITS(20), No. 12, December 2019, pp. 4538-4552.
IEEE DOI 2001
Cameras, Target tracking, Estimation, Visualization, Solid modeling, Intelligent vehicle, varying viewpoint handling BibRef

Li, S., Zhao, S., Cheng, B., Zhao, E., Chen, J.,
Robust Visual Tracking via Hierarchical Particle Filter and Ensemble Deep Features,
CirSysVideo(30), No. 1, January 2020, pp. 179-191.
IEEE DOI 2002
convolutional neural nets, feature extraction, object tracking, particle filtering (numerical methods), state estimation, convolutional neural networks BibRef

Hostettler, R., Tronarp, F., García-Fernández, Á.F., Särkkä, S.,
Importance Densities for Particle Filtering Using Iterated Conditional Expectations,
SPLetters(27), 2020, pp. 211-215.
IEEE DOI 2002
State estimation, particle filters, Monte Carlo methods, nonlinear systems, posterior linearization BibRef

Li, S., Zhao, S., Cheng, B., Chen, J.,
Efficient Particle Scale Space for Robust Tracking,
SPLetters(27), 2020, pp. 371-375.
IEEE DOI 2004
Object tracking, siamese network, scale estimation, correlation filter, particle filter BibRef

Wang, F.S.[Fa-Sheng], Wang, Y.B.[Yan-Bo], He, J.J.[Jian-Jun], Sun, F.M.[Fu-Ming], Li, X.C.[Xu-Cheng], Zhang, J.X.[Jun-Xing],
Visual object tracking via iterative ant particle filtering,
IET-IPR(14), No. 8, 19 June 2020, pp. 1636-1644.
DOI Link 2005
BibRef

Babai, M.[Mohammad], Kalantar-Nayestanaki, N.[Nasser], Messchendorp, J.G.[Johan G.], Wilkinson, M.H.F.[Michael H. F.],
An efficient attribute-space connected filter on graphs to reconstruct paths in point-clouds,
PR(106), 2020, pp. 107467.
Elsevier DOI 2006
BibRef
Earlier:
Tracking Sub-atomic Particles Through the Attribute Space,
ISMM15(86-97).
Springer DOI 1506
Graph-based image analysis, Attribute-space connectivity, Orientation-based segmentation, Irregular graph morphology, Straw tube tracker (STT) BibRef

Ito, N., Godsill, S.,
A Multi-Target Track-Before-Detect Particle Filter Using Superpositional Data in Non-Gaussian Noise,
SPLetters(27), 2020, pp. 1075-1079.
IEEE DOI 2007
Target tracking, Signal to noise ratio, Particle filters, Radio frequency, Indexes, Signal processing algorithms, superpositional sensor signals BibRef

Varsi, A., Taylor, J., Kekempanos, L., Pyzer Knapp, E., Maskell, S.,
A Fast Parallel Particle Filter for Shared Memory Systems,
SPLetters(27), 2020, pp. 1570-1574.
IEEE DOI 2009
Time complexity, Particle filters, Graphics processing units, Indexes, Atmospheric measurements, Particle measurements, redistribute BibRef

Wei, L.[Lei], Wang, Y.P.[Yun-Peng], Chen, P.[Peng],
A Particle Filter-Based Approach for Vehicle Trajectory Reconstruction Using Sparse Probe Data,
ITS(22), No. 5, May 2021, pp. 2878-2890.
IEEE DOI 2105
Trajectory, Probes, Atmospheric measurements, Particle measurements, Detectors, Roads, Monte Carlo methods, particle filter BibRef

Xiao, Z.[Zhe], Fu, X.J.[Xiu-Ju], Zhang, L.[Liye], Zhang, W.[Wanbing], Liu, R.W.[Ryan Wen], Liu, Z.[Zhao], Goh, R.S.M.[Rick Siow Mong],
Big Data Driven Vessel Trajectory and Navigating State Prediction With Adaptive Learning, Motion Modeling and Particle Filtering Techniques,
ITS(23), No. 4, April 2022, pp. 3696-3709.
IEEE DOI 2204
Trajectory, Navigation, Training, Predictive models, Adaptation models, Knowledge based systems, Neural networks, maritime transportation BibRef

Yoshimura, R.[Ryota], Maruta, I.[Ichiro], Fujimoto, K.[Kenji], Sato, K.[Ken], Kobayashi, Y.[Yusuke],
Particle Filter Design Based on Reinforcement Learning and Its Application to Mobile Robot Localization,
IEICE(E105-D), No. 5, May 2022, pp. 1010-1023.
WWW Link. 2205
BibRef

Li, S.J.[Sheng-Jie], Zhao, S.[Shuai], Cheng, B.[Bo], Chen, J.L.[Jun-Liang],
Dynamic Particle Filter Framework for Robust Object Tracking,
CirSysVideo(32), No. 6, June 2022, pp. 3735-3748.
IEEE DOI 2206
Target tracking, Particle measurements, Atmospheric measurements, Correlation, Robustness, Visualization, Real-time systems, dynamic particle filter BibRef

Li, S.J.[Sheng-Jie], Zhao, S.[Shuai], Cheng, B.[Bo], Chen, J.L.[Jun-Liang],
Part-Aware Framework for Robust Object Tracking,
IP(32), 2023, pp. 750-763.
IEEE DOI 2301
Target tracking, Correlation, Robustness, Training, Convolutional neural networks, Object tracking, global and local parts BibRef

Silva, I.[Ivo], Pendão, C.[Cristiano], Torres-Sospedra, J.[Joaquín], Moreira, A.[Adriano],
TrackInFactory: A Tight Coupling Particle Filter for Industrial Vehicle Tracking in Indoor Environments,
SMCS(52), No. 7, July 2022, pp. 4151-4162.
IEEE DOI 2207
Wireless fidelity, Location awareness, Robot sensing systems, Sensor fusion, Reliability, Radiofrequency identification, wi-Fi-based positioning BibRef

Wu, J.H.[Jie-Hong], Song, C.X.[Cheng-Xin], Ma, J.[Jian], Wu, J.S.[Jin-Song], Han, G.J.[Guang-Jie],
Reinforcement Learning and Particle Swarm Optimization Supporting Real-Time Rescue Assignments for Multiple Autonomous Underwater Vehicles,
ITS(23), No. 7, July 2022, pp. 6807-6820.
IEEE DOI 2207
Task analysis, Real-time systems, Path planning, Heuristic algorithms, Particle swarm optimization, PSO BibRef

Mozhdehi, R.J.[Reza Jalil], Medeiros, H.[Henry],
Deep convolutional correlation iterative particle filter for visual tracking,
CVIU(222), 2022, pp. 103479.
Elsevier DOI 2209
BibRef
Earlier:
Deep convolutional particle filter for visual tracking,
ICIP17(3650-3654)
IEEE DOI 1803
Iterative particle filter, Deep convolutional neural network, Correlation map, Visual tracking BibRef

Mozhdehi, R.J.[Reza Jalil], Reznichenko, Y.[Yevgeniy], Siddique, A.[Abubakar], Medeiros, H.[Henry],
Convolutional Adaptive Particle Filter with Multiple Models for Visual Tracking,
ISVC18(474-486).
Springer DOI 1811
BibRef
Earlier:
Deep Convolutional Particle Filter with Adaptive Correlation Maps for Visual Tracking,
ICIP18(798-802)
IEEE DOI 1809
Correlation, Target tracking, Visualization, Adaptation models, Lighting, Particle filters, Feature extraction, Particle Filter, Visual Tracking. Benchmark testing, Strain, Visualization, Deep Convolutional Neural Network. BibRef

Lee, H.[Hojoon], Lee, H.[Hyunsung], Shin, D.[Donghoon], Yi, K.[Kyongsu],
Moving Objects Tracking Based on Geometric Model-Free Approach With Particle Filter Using Automotive LiDAR,
ITS(23), No. 10, October 2022, pp. 17863-17872.
IEEE DOI 2210
Radar tracking, Point cloud compression, Laser radar, Shape, Target tracking, Autonomous vehicles, Vehicle dynamics, sparse point cloud BibRef

Bordin, C.J.[Claudio J.], de Figueredo, C.G.[Caio G.], Bruno, M.G.S.[Marcelo G. S.],
Diffusion Particle Filtering on the Special Orthogonal Group Using Lie Algebra Statistics,
SPLetters(29), 2022, pp. 2058-2062.
IEEE DOI 2210
Particle filters, Estimation, Symmetric matrices, Signal processing algorithms, Manifolds, Algebra, Filtering, particle filters BibRef

Wu, Q.S.[Qi-Song], Chen, L.J.[Ling-Jie], Li, Y.P.[Yan-Ping], Wang, Z.J.[Zi-Jun], Yao, S.[Shuai], Li, H.[Hao],
Reweighted Robust Particle Filtering Approach for Target Tracking in Automotive Radar Application,
RS(14), No. 21, 2022, pp. xx-yy.
DOI Link 2212
BibRef

Cheng, L.[Long], Zhang, H.[Hao], Wei, D.C.[Da-Cheng], Zhou, J.B.[Jia-Bao],
An Indoor Tracking Algorithm Based on Particle Filter and Nearest Neighbor Data Fusion for Wireless Sensor Networks,
RS(14), No. 22, 2022, pp. xx-yy.
DOI Link 2212
BibRef

Monteleone, V.[Vito], lo Presti, L.[Liliana], La Cascia, M.[Marco],
Particle Filtering for Tracking in 360 Degrees Videos Using Virtual PTZ Cameras,
CIAP19(I:71-81).
Springer DOI 1909
BibRef

Höhner, N.[Nils], Hebborn, A.K.[Anna Katharina], Müller, S.[Stefan],
Particle Filter Based Tracking and Mapping,
ISVC18(299-308).
Springer DOI 1811
BibRef

Onur Ozyurt, E., Gunsel, B.,
WAMI Object Tracking Using L1 Tracker Integrated with a Deep Detector,
ICIP18(2690-2694)
IEEE DOI 1809
WAMI: Wide Area Motion Imagery Target tracking, Detectors, Dictionaries, Object tracking, Monitoring, Minimization, Sparse object tracking, particle filtering BibRef

Akok, B., Gurkan, F., Kaplan, O., Gunsel, B.,
Robust object tracking by interleaving variable rate color particle filtering and deep learning,
ICIP17(3665-3669)
IEEE DOI 1803
Detectors, Machine learning, Particle filters, Proposals, Target tracking, Object tracking, deep learning, particle filtering BibRef

Puybareau, É.[Élodie], Talbot, H.[Hugues], Gaber, N.[Noha], Bourouina, T.[Tarik],
Morphological Analysis of Brownian Motion for Physical Measurements,
ISMM17(486-497).
Springer DOI 1706
BibRef

Wang, Y.X.[Yu-Xi], Liu, Y.[Yue], Li, Z.W.[Zhu-Wen], Cheong, L.F.[Loong-Fah], Ling, H.B.[Hai-Bin],
Visual tracking via sparsity pattern learning,
ICPR16(2716-2721)
IEEE DOI 1705
Adaptation models, Dictionaries, Minimization, Sparse matrices, Target tracking, Visualization BibRef

Daneshyar, M.A., Nahvi, M.,
Improvement of moving objects tracking via modified particle distribution in particle filter algorithm,
IPRIA15(1-6)
IEEE DOI 1603
Monte Carlo methods BibRef

Rousseau, S.[Sylvain], Chainais, P.[Pierre], Garnier, C.[Christelle],
Dictionary learning for a sparse appearance model in visual tracking,
ICIP15(4506-4510)
IEEE DOI 1512
dictionary learning; object tracking; particle filtering; sparse coding BibRef

Ratnayake, K.[Kumara], Amer, M.A.[Maria A.],
Object tracking with adaptive motion modeling of particle filter and support vector machines,
ICIP15(1140-1144)
IEEE DOI 1512
Particle filter BibRef

Yigit, A.[Ahmet], Temizel, A.[Alptekin],
Particle filter based Conjoint Individual-Group Tracker (CIGT),
AVSS15(1-6)
IEEE DOI 1511
Computer vision BibRef

Kim, C.[Chansu], Park, S.K.[Sung-Kee],
Modified particle filtering using foreground separation and confidence for object tracking,
AVSS15(1-6)
IEEE DOI 1511
object tracking BibRef

Dhassi, Y., Aarab, A., Alfidi, M.,
Object tracking using particle filter based on Lyapunov stability,
ISCV15(1-5)
IEEE DOI 1506
Lyapunov methods BibRef

Venkatrayappa, D.[Darshan], Sidibé, D.[Désiré], Meriaudeau, F.[Fabrice], Montesinos, P.[Philippe],
Adaptive Feature Selection for Object Tracking with Particle Filter,
ICIAR14(II: 395-402).
Springer DOI 1410
BibRef

Wang, N.Y.[Nai-Yan], Shi, J., Yeung, D.Y.[Dit-Yan], Jia, J.,
Understanding and Diagnosing Visual Tracking Systems,
ICCV15(3101-3109)
IEEE DOI 1602
Adaptation models BibRef

Wang, N.Y.[Nai-Yan], Wang, J.D.[Jing-Dong], Yeung, D.Y.[Dit-Yan],
Online Robust Non-negative Dictionary Learning for Visual Tracking,
ICCV13(657-664)
IEEE DOI 1403
BibRef

Müller, O.[Oliver], Rosenhahn, B.[Bodo],
Global Consistency Priors for Joint Part-Based Object Tracking and Image Segmentation,
WACV17(436-444)
IEEE DOI 1609
Biological system modeling, Couplings, Deformable models, Image segmentation, Object tracking, Optimization, Pose, estimation BibRef

Muller, O.[Oliver], Yang, M.Y.[Michael Ying], Rosenhahn, B.[Bodo],
Slice Sampling Particle Belief Propagation,
ICCV13(1129-1136)
IEEE DOI 1403
Feature Tracking BibRef

Wang, F.S.[Fa-Sheng], Lu, M.Y.[Ming-Yu], Shen, L.[Liran],
A Robust Particle Tracker via Markov Chain Monte Carlo Posterior Sampling,
DTCE12(II:360-371).
Springer DOI 1304
BibRef

Yang, H.[Heng], Zhang, Y.Q.[Yue-Qiang], Liu, X.L.[Xiao-Lin], Patras, I.[Ioannis],
Coupled 3D tracking and pose optimization of rigid objects using particle filter,
ICPR12(1451-1454).
WWW Link. 1302
BibRef

Yao, Z.J.[Zhi-Jun], Zhou, Y.[Yu], Liu, J.T.[Jun-Tao], Liu, W.Y.[Wen-Yu],
A fast and effective appearance model-based particle filtering object tracking algorithm,
ICPR12(1475-1478).
WWW Link. 1302
BibRef

Bian, Y.[Yatao], Zhao, X.[Xu], Song, J.[Jian], Liu, Y.C.[Yun-Cai],
Parallelized Annealed Particle Filter for real-time marker-less motion tracking via heterogeneous computing,
ICPR12(2444-2447).
WWW Link. 1302
BibRef

Varas, D.[David], Marques, F.[Ferran],
Region-Based Particle Filter for Video Object Segmentation,
CVPR14(3470-3477)
IEEE DOI 1409
BibRef
Earlier:
A region-based particle filter for generic object tracking and segmentation,
ICIP12(1333-1336).
IEEE DOI 1302
Object segmentation;co-clustering;particle filter BibRef

Schubert, F.[Falk], Casaburo, D.[Daniele], Dickmanns, D.[Dirk], Belagiannis, V.[Vasileios],
Revisiting Robust Visual Tracking Using Pixel-Wise Posteriors,
CVS15(275-288).
Springer DOI 1507
BibRef

Belagiannis, V.[Vasileios], Schubert, F.[Falk], Navab, N.[Nassir], Ilic, S.[Slobodan],
Segmentation Based Particle Filtering for Real-Time 2D Object Tracking,
ECCV12(IV: 842-855).
Springer DOI 1210
BibRef

Dubuisson, S.[Severine], Gonzales, C.[Christophe],
An optimized DBN-based mode-focussing particle filter,
CVPR12(1934-1939).
IEEE DOI 1208
BibRef

Rameau, F.[Francois], Sidibe, D.[Desire], Demonceaux, C.[Cedric], Fofi, D.[David],
Tracking moving objects with a catadioptric sensor using particle filter,
OMNIVIS11(328-334).
IEEE DOI 1201
BibRef

Cherng, D.C.[Der-Chun], Yang, S.Y.[Sheng-Yan], Shen, C.F.[Chun-Fu], Lu, Y.C.[Yan-Chen],
Real time color based particle filtering for object tracking with dual cache architecture,
AVSBS11(148-153).
IEEE DOI 1111
BibRef

Son, J., Jung, I., Park, K., Han, B.,
Tracking-by-Segmentation with Online Gradient Boosting Decision Tree,
ICCV15(3056-3064)
IEEE DOI 1602
Algorithm design and analysis BibRef

Song, C.K.[Chang-Kyu], Son, J.[Jeany], Kwak, S.[Suha], Han, B.H.[Bo-Hyung],
Dynamic Resource Allocation by Ranking SVM for Particle Filter Tracking,
BMVC11(xx-yy).
HTML Version. 1110
BibRef

Lopez-Mendez, A.[Adolfo], Alcoverro, M.[Marcel], Pardas, M.[Montse], Casas, J.R.[Josep R.],
Approximate partitioning of observations in hierarchical particle filter body tracking,
CVCG11(19-24).
IEEE DOI 1106
BibRef

Enda, N.[Naoki], Fukui, S.[Shinji], Iwahori, Y.J.[Yu-Ji], Woodham, R.J.[Robert J.],
Improvement of Particle Filtering for Intersection of Targets with Similar Patterns,
MVA09(223-).
PDF File. 0905
BibRef

Ni, Z.F.[Ze-Feng], Sunderrajan, S.[Santhoshkumar], Rahimi, A.[Amir], Manjunath, B.S.,
Distributed particle filter tracking with online multiple instance learning in a camera sensor network,
ICIP10(37-40).
IEEE DOI 1009
BibRef
And:
Particle Filter Tracking with Online Multiple Instance Learning,
ICPR10(2616-2619).
IEEE DOI 1008
BibRef

Exner, D.[David], Bruns, E.[Erich], Kurz, D.[Daniel], Grundhofer, A.[Anselm], Bimber, O.[Oliver],
Fast and robust CAMShift tracking,
CVCGI10(9-16).
IEEE DOI 1006
kernel-based tracking. Deal with appearance changes. BibRef

Rehrl, T., Theissing, N., Bannat, A., Gast, J., Arsic, D., Wallhoff, F., Rigoll, G., Mayer, C., Radig, B.,
Graphical Models for real-time capable gesture recognition,
ICIP10(2445-2448).
IEEE DOI 1009
BibRef

Rehrl, T., Theissing, N., Bannat, A., Gast, J., Arsic, D., Wallhoff, F., Rigoll, G.,
Tracking using Bayesian inference with a two-layer Graphical Model,
ICIP10(3961-3964).
IEEE DOI 1009
BibRef

Rehrl, T.[Tobias], Gast, J.[Jurgen], Theissing, N.[Nikolaus], Bannat, A.[Alexander], Arsic, D.[Dejan], Wallhoff, F.[Frank], Rigoll, G.[Gerhard], Mayer, C.[Christoph], Radig, B.[Bernd],
A Graphical Model for unifying tracking and classification within a multimodal Human-Robot Interaction scenario,
CVforHRI10(17-23).
IEEE DOI 1006
Particle tracking, Dynamic Bayesian Network classification. As part of the larger system for complete interaction. BibRef

Takala, V.[Valtteri], Cai, Y.H.[Ying-Hao], Pietikainen, M.[Matti],
Boosting Clusters of Samples for Sequence Matching in Camera Networks,
ICPR10(400-403).
IEEE DOI 1008
BibRef

Aksel, A.[Alla], Acton, S.T.[Scott T.],
Target tracking using the snake particle filter,
Southwest10(33-36).
IEEE DOI 1005
BibRef

Zhang, X.Q.[Xiao-Qin], Hu, W.M.[Wei-Ming], Maybank, S.J.[Steve J.],
A Smarter Particle Filter,
ACCV09(II: 236-246).
Springer DOI 0909
BibRef

Lin, C.C.[Chung-Ching], Wolf, W.[Wayne],
MCMC-based feature-guided particle filtering for tracking moving objects from a moving platform,
EmbedCV09(828-833).
IEEE DOI 0910
BibRef

Saboune, J.[Jamal], Laganiere, R.[Robert],
People detection and tracking using the Explorative Particle Filtering,
VS09(1298-1305).
IEEE DOI 0910
BibRef

Sugano, H.[Hiroki], Miyamoto, R.[Ryusuke],
Hardware implementation of a cascade particle filter,
ICIP09(3257-3260).
IEEE DOI 0911
BibRef

Guo, F.[Feng], Qian, G.[Gang],
3D arm movement tracking using adaptive particle filter,
ICIP09(4069-4072).
IEEE DOI 0911
BibRef

Heo, P.G.[Pyeong-Gang], Park, S.J.[Su-Jin], Jin, S.H.[Sang-Hung], Yeou, B.Y.[Bo Yeoun], Park, H.W.[Hyun-Wook],
An object tracking method using particle filter and scale space model,
ICIP09(4081-4084).
IEEE DOI 0911
BibRef

Wang, Y.[Yi], Schultz, R.R.[Richard R.],
Tracking occluded targets in high-similarity background: An online training, non-local appearance model and periodic hybrid particle filter with projective transformation,
ICIP09(4093-4096).
IEEE DOI 0911
BibRef

Cuevas, C.[Carlos], del Blanco, C.R.[Carlos R.], Garcia, N.[Narciso], Jaureguizar, F.[Fernando],
Segmentation-tracking feedback approach for high-performance video surveillance applications,
Southwest10(41-44).
IEEE DOI 1005
BibRef

El-Halym, H.A.A.[Howida A. Abd], Mahmoud, I.I.[Imbaby I.], Habib, S.E.D.,
Efficient hardware architecture for Particle Filter based object tracking,
ICIP10(4497-4500).
IEEE DOI 1009
BibRef

El-Halym, H.A.A.[Howida A. Abd], Mahmoud, I.I.[Imbaby I.], AbdelTawab, A., Habib, S.E.D.,
Appraisal of an enhanced Particale Filter for object tracking,
ICIP09(4105-4108).
IEEE DOI 0911
BibRef

Gribben, H., Miller, P., Zhang, J.G.[Jian-Guo], Browne, M.,
Poisson Kalman Particle Filtering for Tracking Centrosomes in Low-Light 3-D Confocal Image Sequences,
IMVIP09(83-88).
IEEE DOI 0909
BibRef

Seyyedi, M.A.P.[Mohsen Aabbas Pour], Miller, P.[Paul], Gribben, H.[Hugh],
Improved Elastic Registration of Low-Contrast Fluorescent Microscopy Images Using the Behaviour of Local Similarity,
BMVC11(xx-yy).
HTML Version. 1110
BibRef

Gribben, H., Miller, P., Wang, H., Browne, M.,
Automated Segmentation of Low-Light Level Imagery using Poisson MAP-MRF Labelling,
BMVC07(xx-yy).
PDF File. 0709
BibRef

Luo, C.[Cheng], Cai, X.C.[Xiong-Cai], Zhang, J.[Jian],
GATE: A Novel Robust Object Tracking Method Using the Particle Filtering and Level Set Method,
DICTA08(378-385).
IEEE DOI 0812
BibRef

Fazli, S.[Saeid], Pour, H.M.[Hamed Moradi], Bouzari, H.[Hamed],
Particle Filter Based Object Tracking with Sift and Color Feature,
ICMV09(89-93).
IEEE DOI 0912
BibRef

Pan, Z.D.[Zhi-Dong],
An Optimal Method for Dynamic Particle Image Sequence,
CISP09(1-5).
IEEE DOI 0910
BibRef

Meng, J.[Juan], Li, M.[Muguo], Du, H.[Hai],
Particle Selection Strategy for Three-Dimensional Particle Image Velocimetry,
CISP09(1-5).
IEEE DOI 0910
BibRef

Li, H.W.[Hong-Wei], Wang, J.[Jun], Liu, Y.C.[Yu-Chun],
Passive Coherent Radar Tracking Algorithm Based on Particle Filter and Multiple TDOA Measurements,
CISP09(1-4).
IEEE DOI 0910
BibRef

Porikli, F.M.[Fatih M.], Pan, P.[Pan],
Regressed Importance Sampling on Manifolds for Efficient Object Tracking,
AVSBS09(406-411).
IEEE DOI 0909
BibRef

Gao, H.Z.[Hong-Zhi], Green, R.[Richard],
Application of tabu search optimization in realtime video tracking,
IVCNZ09(23-28).
IEEE DOI 0911
BibRef
And:
A sequential Monte Carlo method for particle filters,
IVCNZ08(1-6).
IEEE DOI 0811
BibRef

Kumlu, D., Gunsel, B.,
Variable rate adaptive color-based particle filter tracking,
ICIP16(1679-1683)
IEEE DOI 1610
Decision support systems BibRef

Ulker, Y.[Yener], Gunsel, B.[Bilge], Kirbiz, S.[Serap],
A multiple model structure for tracking by variable rate particle filters,
ICPR08(1-4).
IEEE DOI 0812
BibRef

Li, H.W.[Hong-Wei], Wu, Y.[Yi], Lu, H.Q.[Han-Qing],
Visual Tracking Using Particle Filters with Gaussian Process Regression,
PSIVT09(261-270).
Springer DOI 0901
BibRef

Wu, Y.[Yi], Wu, B.[Bo], Liu, J.[Jia], Lu, H.Q.[Han-Qing],
Probabilistic tracking on Riemannian manifolds,
ICPR08(1-4).
IEEE DOI 0812
BibRef

Liu, R.[Rong], Cheng, J.[Jian], Lu, H.Q.[Han-Qing],
A robust boosting tracker with minimum error bound in a co-training framework,
ICCV09(1459-1466).
IEEE DOI 0909
BibRef

Shen, Y.[Yao], Guturu, P.[Parthasarathy], Damarla, T.[Thyagaraju], Buckles, B.P.[Bill P.],
Particle Filter Based Object Tracking with Discriminative Feature Extraction and Fusion,
ISVC08(II: 246-256).
Springer DOI 0812
BibRef

del-Blanco, C.R.[Carlos R.], Mohedano, R.[Raul], Garcia, N.[Narciso], Salgado, L.[Luis], Jaureguizar, F.[Fernando],
Color-based 3D particle filtering for robust tracking in heterogeneous environments,
ICDSC08(1-10).
IEEE DOI 0809
BibRef

Mohedano, R.[Raúl], García, N.[Narciso],
Visibility-Based Observation Model for 3D Tracking with Non-parametric 3D Particle Filters,
ISVC09(II: 150-159).
Springer DOI 0911
BibRef

Mohedano, R.[Raúl], García, N.[Narciso], Salgado, L.[Luis], Jaureguizar, F.[Fernando],
3D Tracking Using Multi-view Based Particle Filters,
ACIVS08(xx-yy).
Springer DOI 0810

See also Automatic Feature-Based Stabilization of Video with Intentional Motion through a Particle Filter. BibRef

Song, X.[Xuan], Shao, X.W.[Xiao-Wei], Zhao, H.J.[Hui-Jing], Cui, J.S.[Jin-Shi], Shibasaki, R.[Ryosuke], Zha, H.B.[Hong-Bin],
An online approach: Learning-Semantic-Scene-by-Tracking and Tracking-by-Learning-Semantic-Scene,
CVPR10(739-746).
IEEE DOI 1006
Trajectories help in identification, identification helps in trajectories. BibRef

Dore, A.[Alessio], Cattoni, A.F.[Andrea F.], Regazzoni, C.S.[Carlo S.],
A particle filter based fusion framework for video-radio tracking in smart spaces,
AVSBS07(99-104).
IEEE DOI 0709
BibRef

Cho, S.H.[Shung Han], Lee, J.S.[Jin-Seok], Hong, S.J.[Sang-Jin],
Passive sensor based dynamic object association with particle filtering,
AVSBS07(206-211).
IEEE DOI 0709
BibRef

Lim, S.N.[Ser-Nam], Davis, L.S.[Larry S.],
An Ease-of-Use Stereo-Based Particle Filter for Tracking Under Occlusion,
HUMO07(225-239).
Springer DOI 0710
BibRef

Rane, N.[Nikhil], Birchfield, S.T.[Stan T.],
Isomap Tracking with Particle Filtering,
ICIP07(II: 513-516).
IEEE DOI 0709
BibRef

Miyaki, T., Yamasaki, T., Aizawa, K.,
Tracking Persons using Particle Filter Fusing Visual and Wi-Fi Localizations for Widely Distributed Camera,
ICIP07(III: 225-228).
IEEE DOI 0709
BibRef
And:
Multi-Sensor Fusion Tracking Using Visual Information and WI-Fl Location Estimation,
ICDSC07(275-282).
IEEE DOI 0709
BibRef

Kong, K.Y.[Koon Yin], Marcus, A.I.[Adam I.], Giannakakou, P.[Paraskevi], Wang, M.D.[May D.],
Using Particle Filter to Track and Model Microtubule Dynamics,
ICIP07(V: 517-520).
IEEE DOI 0709
BibRef

Lanz, O.[Oswald],
An information theoretic rule for sample size adaptation in particle filtering,
CIAP07(317-322).
IEEE DOI 0709
Adapt resolution to suit needs. BibRef

Zhang, F.[Fan], Goodlett, C.[Casey], Hancock, E.R.[Edwin R.], Gerig, G.[Guido],
Probabilistic Fiber Tracking Using Particle Filtering and Von Mises-Fisher Sampling,
EMMCVPR07(303-317).
Springer DOI 0708
BibRef

Fleck, S.[Sven], Hoffmann, M.[McElory], Hunter, K.[Karin], Schilling, A.[Andreas],
PFAAM: An Active Appearance Model based Particle Filter for both Robust and Precise Tracking,
CRV07(339-346).
IEEE DOI 0705
BibRef

Li, P.H.[Pei-Hua], Wang, H.J.[Hai-Jing],
Object Tracking with Particle Filter Using Color Information,
MIRAGE07(534-541).
Springer DOI 0703
BibRef

Kawamoto, K.[Kazuhiko],
Optical Flow-Driven Motion Model with Automatic Variance Adjustment for Adaptive Tracking,
ACCV07(I: 555-564).
Springer DOI 0711
BibRef

Kawamoto, K.[Kazuhiko],
Guided Importance Sampling Based Particle Filtering for Visual Tracking,
PSIVT06(158-167).
Springer DOI 0612
BibRef

Shao, J.[Jie], Chellappa, R., Porikli, F.M.[Fatih M.],
Shape-Regulated Particle Filtering for Tracking Non-Rigid Objects,
ICIP06(2813-2816).
IEEE DOI 0610
BibRef

Desurmont, X., Machy, C., Mancas-Thillou, C., Severin, D., Delaigle, J.F.,
Effects of Parameters Variations in Particle Filter Tracking,
ICIP06(2789-2792).
IEEE DOI 0610
BibRef

Klein, G.S.W., Murray, D.W.,
Full-3D Edge Tracking with a Particle Filter,
BMVC06(III:1119).
PDF File. 0609
BibRef

Marshall, J., Mills, S., Benford, S.,
Using Object Interactions to Improve Particle Filter Performance,
BMVC06(I:337).
PDF File. 0609
BibRef

Osawa, T.[Tatsuya], Wu, X.J.[Xiao-Jun], Wakabayashi, K.[Kaoru], Yasuno, T.[Takayuki],
Human Tracking by Particle Filtering Using Full 3D Model of Both Target and Environment,
ICPR06(II: 25-28).
IEEE DOI 0609
BibRef

Leoputra, W.[Wilson], Tan, T.L.[Te-Le], Lim, F.L.[Fee Lee],
Non-overlapping Distributed Tracking using Particle Filter,
ICPR06(III: 181-185).
IEEE DOI 0609
BibRef

Hafez, A.H.A.[A.H. Abdul], Jawahar, C.V.,
Target Model Estimation using Particle Filters for Visual Servoing,
ICPR06(IV: 651-654).
IEEE DOI 0609
BibRef
And:
Probabilistic Integration of 2D and 3D Cues for Visual Servoing,
ICARCV06(1-6).
IEEE DOI 0612
BibRef

Hafez, A.H.A., Jawahar, C.V.,
Improvement to the Minimization of Hybrid Error Functions for Pose Alignment,
ICARCV06(1-6).
IEEE DOI 0612
BibRef

Kim, S.M.[Sung-Min], Park, C.B.[Chang-Beom], Lee, S.W.[Seong-Whan],
Tracking 3D Human Body using Particle Filter in Moving Monocular Camera,
ICPR06(IV: 805-808).
IEEE DOI 0609
BibRef

Nguyen, C.T.[Chuong T.], Havlicek, J.P.[Joseph P.], Yeary, M.[Mark],
Modulation Domain Template Tracking,
OTCBVS07(1-8).
IEEE DOI 0706

See also Modulation domain texture decomposition. BibRef

Zhai, Y., Yeary, M., Noyer, J.C., Havlicek, J.P.[Joseph P.], Nemati, S., Lanvin, P.,
Visual Target Tracking using Improved and Computationally Efficient Particle Filtering,
ICIP06(1757-1760).
IEEE DOI 0610
BibRef

Zhai, Y.[Yan], Yeary, M., Havlicek, J.P., Noyer, J.C., Lanvin, P.,
Visual Tracking Using Sequential Importance Sampling with a State Partition Technique,
ICIP05(III: 876-879).
IEEE DOI 0512
BibRef

Johnston, C.M.[Colin M.], Mould, N.A.[Nicholas A.], Havlicek, J.P.[Joseph P.],
Multichannel dual domain infrared target tracking for highly evolutionary target signatures,
ICIP09(4117-4120).
IEEE DOI 0911
BibRef

Johnston, C.M.[Colin M.], Mould, N.A.[Nicholas A.], Havlicek, J.P.[Joseph P.], Fan, G.L.[Guo-Liang],
Dual domain auxiliary particle filter with integrated target signature update,
OTCBVS09(54-59).
IEEE DOI 0906
BibRef

Fan, G.L.[Guo-Liang], Venkataraman, V.B.[Vijay Bhaskar], Tang, L.[Li], Havlicek, J.P.[Joseph P.],
A Comparative Study of Boosted and Adaptive Particle Filters for Affine-Invariant Target Detection and Tracking,
OTCBVS06(138).
IEEE DOI 0609
BibRef

Venkataraman, V.[Vijay], Fan, G.L.[Guo-Liang], Fan, X.[Xin],
Target Tracking with Online Feature Selection in FLIR Imagery,
OTCBVS07(1-8).
IEEE DOI 0706
BibRef

Ortegon-Aguilar, J.[Jaime], Bayro-Corrochano, E.[Eduardo],
Omnidirectional Vision Tracking with Particle Filter,
ICPR06(III: 1115-1118).
IEEE DOI 0609

See also Lie algebra approach for tracking and 3D motion estimation using monocular vision. BibRef

Wang, Q.C.[Qi-Cong], Liu, J.L.[Ji-Lin], Wu, Z.G.[Zhi-Gang],
Object Tracking Using Genetic Evolution Based Kernel Particle Filter,
IWCIA06(466-473).
Springer DOI 0606
BibRef

Schmidt, J., Fritsch, J.[Jannik], Kwolek, B.[Bogdan],
Kernel Particle Filter for Real-Time 3D Body Tracking in Monocular Color Images,
FGR06(567-572).
IEEE DOI 0604
BibRef

Wang, P.[Ping], Rehg, J.M.[James M.],
A Modular Approach to the Analysis and Evaluation of Particle Filters for Figure Tracking,
CVPR06(I: 790-797).
IEEE DOI 0606
BibRef

Wang, H.L.[Hee Lin], Cheong, L.F.[Loong-Fah],
MRF Augmented Particle Filter Tracker,
CVPR05(II: 1097-1103).
IEEE DOI 0507
BibRef

Wang, H.J.[Hai-Jing], Li, P.H.[Pei-Hua], Zhang, T.W.[Tian-Wen],
Novel Likelihood Estimation Technique Based on Boosting Detector,
ICIP05(III: 477-480).
IEEE DOI 0512
Particle filter object tracking. BibRef

Wang, J.Y.[Jian-Yu], Chen, X.L.[Xi-Lin], Gao, W.[Wen],
Online Selecting Discriminative Tracking Features Using Particle Filter,
CVPR05(II: 1037-1042).
IEEE DOI 0507
BibRef

Tu, P.H.[Peter H.], Sebastian, T.[Thomas], Doretto, G.[Gianfranco], Krahnstoever, N.O.[Nils O.], Rittscher, J.[Jens], Yu, T.[Ting],
Unified Crowd Segmentation,
ECCV08(IV: 691-704).
Springer DOI 0810
BibRef

Tu, P.H.[Peter H.], Rittscher, J.[Jens],
Crowd Segmentation Through Emergent Labeling,
SMVP04(187-198).
Springer DOI 0505
BibRef

Sullivan, J.[Josephine], Rittscher, J.[Jens],
Guiding Random Particles by Deterministic Search,
ICCV01(I: 323-330).
IEEE DOI 0106
BibRef

Dellaert, F.[Frank], Kwatra, V.[Vivek], Oh, S.M.[Sang Min],
Mixture Trees for Modeling and Fast Conditional Sampling with Applications in Vision and Graphics,
CVPR05(I: 619-624).
IEEE DOI 0507
fast conditional sampling for tracking. BibRef

Zhang, H.H.[Hai-Hong], Huang, W.M.[Wei-Min], Huang, Z.Y.[Zhi-Yong], Zhang, B.L.[Bai-Ling],
A particle filtering framework with indirect measurements for visual tracking,
ICARCV04(I: 723-728).
IEEE DOI 0412
BibRef

Zhang, Y.A.[Yong-An], Zhou, D.[Di], Duan, G.R.[Guang-Ren],
Passive position location estimation using particle filtering,
ICARCV04(III: 1635-1639).
IEEE DOI 0412
BibRef

Otsuka, K., Mukawa, N.,
A particle filter for tracking densely populated objects based on explicit multiview occlusion analysis,
ICPR04(IV: 745-750).
IEEE DOI 0409
BibRef
And:
Multiview occlusion analysis for tracking densely populated objects based on 2-D visual angles,
CVPR04(I: 90-97).
IEEE DOI 0408
BibRef

Bando, T., Shibata, T., Doya, K., Ishii, S.[Shin],
Switching particle filters for efficient real-time visual tracking,
ICPR04(II: 720-723).
IEEE DOI 0409
BibRef

Zhang, H.H.[Hai-Hong], Huang, W.M.[Wei-Min], Huang, Z.Y.[Zhi-Yong], Li, L.Y.[Li-Yuan],
Affine Object Tracking with Kernel-Based Spatial-Color Representation,
CVPR05(I: 293-300).
IEEE DOI 0507
BibRef

Zhang, H.H.[Hai-Hong], Huang, Z.Y.[Zhi-Yong], Huang, W.M.[Wei-Min], Li, L.Y.[Li-Yuan],
Kernel-based method for tracking objects with rotation and translation,
ICPR04(II: 728-731).
IEEE DOI 0409
BibRef

Satoh, Y., Okatani, T., Deguchi, K.,
A color-based tracking by Kalman particle filter,
ICPR04(III: 502-505).
IEEE DOI 0409
BibRef

Lichtenauer, J.F., Reinders, M.J.T., Hendriks, E.A.,
Influence of the observation likelihood function on particle filtering performance in tracking applications,
AFGR04(767-772).
IEEE DOI 0411
BibRef

Duraiswami, R., Zotkin, D.N., Davis, L.S.,
Multimodal 3D tracking and Event Detection via the Particle Filter,
EventVideo01(20-27).
IEEE DOI 0106
BibRef

Hering, F.[Frank], Wierzimok, D.[Dietmar], Jähne, B.[Bernd],
Particle tracking in space time sequences,
CAIP95(294-301).
Springer DOI 9509
BibRef

Chapter on Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in
Particle Swarm Tracking, Particle Swarm Optimization .