Cano, D.,
Benard, M.,
Kalman Filtering of Image Sequences,
ISPDSA83(563-579).
BibRef
8300
Stuller, J.A.[John A.], and
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Kalman Filter Formulation of Low-Level
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CVGIP(21), No. 2, February 1983, pp. 169-204.
Elsevier DOI
Kalman Filter.
BibRef
8302
Stuller, J.A., and
Netravali, A.N.,
Transform Domain Motion Estimation,
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BibRef
7909
Netravali, A.N.[Arun N.],
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Motion estimation and encoding of video signals in the transform domain,
US_Patent4,245,248, Jan 13, 1981
WWW Link.
BibRef
8101
Burl, J.B.,
A Reduced Order Extended Kalman Filter for Sequential Images
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IP(2), No. 3, July 1993, pp. 285-295.
IEEE DOI
BibRef
9307
Crowley, J.L.,
Stelmaszyk, P.,
Skordas, T., and
Puget, P.,
Measurement and Integration of 3-D Structures by Tracking Edge Lines,
IJCV(8), No. 1, July 1992, pp. 29-52.
Springer DOI
BibRef
9207
Earlier:
ECCV90(269-280).
Springer DOI
BibRef
And:
add
Discours, C., :
Measuring Image Flow by Tracking Edge-Lines,
ICCV88(658-664).
IEEE DOI
Kalman Filter. This is really tracking edges-based lines through a sequence, using
a Kalman filter approach.
BibRef
Jung, S.K.,
Wohn, K.Y.,
3-D Tracking and Motion Estimation Using Hierarchical Kalman Filter,
VISP(144), No. 5, October 1997, pp. 293-298.
9806
BibRef
Loza, A.[Artur],
Mihaylova, L.[Lyudmila],
Bull, D.R.[David R.],
Canagarajah, C.N.[C. Nishan],
Structural similarity-based object tracking in multimodality
surveillance videos,
MVA(20), No. 2, February 2009, pp. xx-yy.
Springer DOI
0902
Particle filter tracker.
See also Sequential Monte Carlo tracking by fusing multiple cues in video sequences.
BibRef
Vigus, S.,
Bull, D.R.[David R.],
Canagarajah, C.N.[C. Nishan],
Video Object Tracking Using Region Split and Merge and a Kalman Filter
Tracking Algorithm,
ICIP01(I: 650-653).
IEEE DOI
0108
BibRef
Masazade, E.,
Fardad, M.,
Varshney, P.K.,
Sparsity-Promoting Extended Kalman Filtering for Target Tracking in
Wireless Sensor Networks,
SPLetters(19), No. 12, December 2012, pp. 845-848.
IEEE DOI
1212
BibRef
Venkataraman, V.[Vijay],
Fan, G.L.[Guo-Liang],
Havlicek, J.P.[Joseph P.],
Fan, X.,
Zhai, Y.,
Yeary, M.B.,
Adaptive Kalman Filtering for Histogram-Based Appearance Learning in
Infrared Imagery,
IP(21), No. 11, November 2012, pp. 4622-4635.
IEEE DOI
1210
BibRef
Das, S.,
Kale, A.[Amit],
Vaswani, N.[Namrata],
Particle Filter With a Mode Tracker for Visual Tracking Across
Illumination Changes,
IP(21), No. 4, April 2012, pp. 2340-2346.
IEEE DOI
1204
BibRef
Earlier: A2, A3, Only:
Generalized ELL for detecting and tracking through illumination model
changes,
ICIP08(2736-2739).
IEEE DOI
0810
BibRef
Kale, A.[Amit],
Jaynes, C.[Christopher],
A Multiplicative Model of Appearance for Visual Tracking,
ICIP06(577-580).
IEEE DOI
0610
BibRef
And:
A Joint Illumination and Shape Model for Visual Tracking,
CVPR06(I: 602-609).
IEEE DOI
0606
BibRef
Earlier:
Shape Space Sampling Distributions and Their Impact on Visual Tracking,
ICIP05(I: 145-148).
IEEE DOI
0512
BibRef
Venkataraman, V.[Vijay],
Fan, G.L.[Guo-Liang],
Fan, X.[Xin],
Havlicek, J.P.[Joseph P.],
Appearance learning by adaptive Kalman filters for FLIR tracking,
OTCBVS09(46-53).
IEEE DOI
0906
BibRef
Venkataraman, V.[Vijay],
Fan, X.[Xin],
Fan, G.L.[Guo-Liang],
Integrated target tracking and recognition via joint appearance-motion
generative models,
OTCBVS08(1-8).
IEEE DOI
0806
BibRef
Earlier: A2, A3, Only:
Generative Graphical Models for Maneuvering Object Tracking and
Dynamics Analysis,
OTCBVS07(1-8).
IEEE DOI
0706
BibRef
Liu, X.[Xing],
Jiang, S.S.[Shou-Shan],
Research on Target Tracking based on Unscented Kalman Filter,
Sensors(153), No. 6, June 2013, pp. 13-21.
HTML Version.
1307
BibRef
Salti, S.[Samuele],
di Stefano, L.[Luigi],
On-line Support Vector Regression of the transition model for the
Kalman filter,
IVC(31), No. 6-7, June-July 2013, pp. 487-501.
Elsevier DOI
1306
Adaptive transition model; Visual tracking; Support Vector
Regression; Kalman filter; Interacting Multiple Models
BibRef
Ljouad, T.[Tarik],
Amine, A.[Aouatif],
Rziza, M.[Mohammed],
A hybrid mobile object tracker based on the modified Cuckoo Search
algorithm and the Kalman Filter,
PR(47), No. 11, 2014, pp. 3597-3613.
Elsevier DOI
1407
Object tracking
BibRef
Yu, W.S.[Wang-Sheng],
Tian, X.H.[Xiao-Hua],
Hou, Z.Q.[Zhi-Qiang],
Zha, Y.F.[Yu-Fei],
Robust visual tracking based on watershed regions,
IET-CV(8), No. 6, 2014, pp. 588-600.
DOI Link
1502
Kalman filters
BibRef
Leong, P.H.,
Arulampalam, S.,
Lamahewa, T.A.,
Abhayapala, T.D.,
Gaussian-Sum Cubature Kalman Filter with Improved Robustness for
Bearings-only Tracking,
SPLetters(21), No. 5, May 2014, pp. 513-517.
IEEE DOI
1404
Gaussian processes
BibRef
Erdem, A.T.,
Ercan, A.O.[Ali Ozer],
Fusing Inertial Sensor Data in an Extended Kalman Filter for 3D
Camera Tracking,
IP(24), No. 2, February 2015, pp. 538-548.
IEEE DOI
1502
Kalman filters
BibRef
Ali, A.[Ahmad],
Jalil, A.[Abdul],
Ahmed, J.[Javed],
Iftikhar, M.A.[Muhammad Aksam],
Hussain, M.[Mutawarra],
Correlation, Kalman filter and adaptive fast mean shift based heuristic
approach for robust visual tracking,
SIViP(9), No. 7, October 2015, pp. 1567-1585.
Springer DOI
1509
BibRef
Ali, A.[Ahmad],
Jalil, A.[Abdul],
Ahmed, J.[Javed],
A new template updating method for correlation tracking,
ICVNZ16(1-6)
IEEE DOI
1701
Computer vision
BibRef
Yu, W.S.[Wang-Sheng],
Tian, X.H.[Xiao-Hua],
Hou, Z.Q.[Zhi-Qiang],
Zha, Y.F.[Yu-Fei],
Yang, Y.[Yuan],
Multi-scale mean shift tracking,
IET-CV(9), No. 1, 2015, pp. 110-123.
DOI Link
1504
image sequences
BibRef
Salti, S.[Samuele],
Lanza, A.,
di Stefano, L.[Luigi],
Synergistic Change Detection and Tracking,
CirSysVideo(25), No. 4, April 2015, pp. 609-622.
IEEE DOI
1504
Bayes methods
BibRef
Ben-Ari, R.[Rami],
Ben-Shahar, O.[Ohad],
A computationally efficient tracker with direct appearance-kinematic
measure and adaptive Kalman filter,
RealTimeIP(11), No. 2, February 2016, pp. 271-285.
WWW Link.
1602
BibRef
Zhou, H.[Huan],
Huang, H.Q.[Han-Qiao],
Zhao, H.[Hui],
Zhao, X.[Xin],
Yin, X.[Xiang],
Adaptive Unscented Kalman Filter for Target Tracking in the Presence
of Nonlinear Systems Involving Model Mismatches,
RS(9), No. 7, 2017, pp. xx-yy.
DOI Link
1708
BibRef
Chen, Y.Y.[Yung-Yao],
Zhang, Y.C.[Yi-Cheng],
Drift-Free Tracking Surveillance Based on Online Latent Structured SVM
and Kalman Filter Modules,
IEICE(E101-D), No. 2, February 2018, pp. 491-503.
WWW Link.
1802
BibRef
Yang, J.C.[Jia-Chen],
Zhao, W.R.[Wei-Rong],
Han, Y.R.[Yu-Rong],
Ji, C.Q.[Chun-Qi],
Jiang, B.[Bin],
Zheng, Z.H.[Zhi-Hui],
Song, H.[Houbing],
Aircraft tracking based on fully conventional network and Kalman filter,
IET-IPR(13), No. 8, 20 June 2019, pp. 1259-1265.
DOI Link
1906
BibRef
Huang, Y.,
Zhang, Y.,
Shi, P.,
Wu, Z.,
Qian, J.,
Chambers, J.A.,
Robust Kalman Filters Based on Gaussian Scale Mixture Distributions
With Application to Target Tracking,
SMCS(49), No. 10, October 2019, pp. 2082-2096.
IEEE DOI
1909
Kalman filters, GSM, Noise measurement, Robustness, Shape,
Target tracking, State-space methods,
variational Bayesian (VB)
BibRef
Dogançay, K.,
Wang, W.Y.,
Nguyen, N.H.[N. Hung],
Bias-Compensated Diffusion Pseudolinear Kalman Filter Algorithm for
Censored Bearings-Only Target Tracking,
SPLetters(26), No. 11, November 2019, pp. 1703-1707.
IEEE DOI
1911
Sensors, Estimation, Kalman filters, Signal processing algorithms,
Target tracking, Noise measurement, Mathematical model,
censored measurements
BibRef
Zhang, H.,
Zhou, X.,
Wang, Z.,
Yan, H.,
Maneuvering Target Tracking With Event-Based Mixture Kalman Filter in
Mobile Sensor Networks,
Cyber(50), No. 10, October 2020, pp. 4346-4357.
IEEE DOI
2009
Kalman filters, Target tracking, Robot sensing systems,
Mutual information, Optimal control, State estimation,
state estimation
BibRef
Barbary, M.[Mohamed],
El Azeem, M.H.A.[Mohamed H. Abd],
Joint detection and tracking of non-ellipsoidal extended targets based
on cubature Kalman-CBMeMBer sub-random matrices filter,
IET-IPR(14), No. 17, 24 December 2020, pp. 4676-4689.
DOI Link
2104
BibRef
Jung, S.,
Schlangen, I.,
Charlish, A.,
A Mnemonic Kalman Filter for Non-Linear Systems With Extensive
Temporal Dependencies,
SPLetters(27), 2020, pp. 1005-1009.
IEEE DOI
2007
Kalman filters, Vehicle dynamics, Markov processes, Standards,
Neural networks, Dynamics, Mathematical model, Dynamic models,
Kalman filter
BibRef
Chernoguz, N.,
An Adaptive Kinematic Filter Extended by the Additionally Measured
Velocity or Acceleration,
SPLetters(27), 2020, pp. 1430-1434.
IEEE DOI
2009
Adaptive filters, Acceleration, Kinematics, Radar tracking,
Adaptation models, Sensors, Velocity measurement, Kalman filters,
radar tracking
BibRef
Huang, Z.H.[Zi-Hao],
Chen, S.[Shijin],
Hao, C.P.[Cheng-Peng],
Orlando, D.[Danilo],
Bearings-Only Target Tracking with an Unbiased Pseudo-Linear Kalman
Filter,
RS(13), No. 15, 2021, pp. xx-yy.
DOI Link
2108
BibRef
Darvishi, H.[Hossein],
Sebt, M.A.[Mohammad Ali],
Ciuonzo, D.[Domenico],
Rossi, P.S.[Pierluigi Salvo],
Tracking a Low-Angle Isolated Target via an Elevation-Angle
Estimation Algorithm Based on Extended Kalman Filter with an Array
Antenna,
RS(13), No. 19, 2021, pp. xx-yy.
DOI Link
2110
BibRef
Sun, M.W.[Meng-Wei],
Davies, M.E.[Mike E.],
Proudler, I.K.[Ian K.],
Hopgood, J.R.[James R.],
Adaptive Kernel Kalman Filter Based Belief Propagation Algorithm for
Maneuvering Multi-Target Tracking,
SPLetters(29), 2022, pp. 1452-1456.
IEEE DOI
2207
Signal processing algorithms, Target tracking,
Probability density function, Kalman filters, Kernel, Proposals,
multi-target tracking
BibRef
Liao, J.W.[Jia-Wen],
Qi, C.[Chun],
Cao, J.Z.[Jian-Zhong],
Wang, X.F.[Xiao-Fang],
Ren, L.[Long],
Zhang, C.N.[Chao-Ning],
Rotation-aware correlation filters for robust visual tracking,
JVCIR(83), 2022, pp. 103422.
Elsevier DOI
2202
Correlation filter, Visual tracking, Rotation,
Phase correlation, Kalman filter
BibRef
Liao, J.W.[Jia-Wen],
Qi, C.[Chun],
Cao, J.Z.[Jian-Zhong],
Bian, H.,
Visual Tracking Via Temporally-Regularized Context-Aware Correlation
Filters,
ICIP20(2051-2055)
IEEE DOI
2011
Correlation, Target tracking, Robustness, Bellows, Visualization,
Benchmark testing, Correlation filter, Real-time, Context, tracking, ADMM
BibRef
Montañez, O.J.[Oscar Javier],
Suarez, M.J.[Marco Javier],
Fernandez, E.A.[Eduardo Avendano],
Application of Data Sensor Fusion Using Extended Kalman Filter
Algorithm for Identification and Tracking of Moving Targets from
LiDAR-Radar Data,
RS(15), No. 13, 2023, pp. 3396.
DOI Link
2307
BibRef
Bal, A.B.[Aditi Basu],
Mounir, R.[Ramy],
Aakur, S.[Sathyanarayanan],
Sarkar, S.[Sudeep],
Srivastava, A.[Anuj],
Bayesian Tracking of Video Graphs Using Joint Kalman Smoothing and
Registration,
ECCV22(XXXV:440-456).
Springer DOI
2211
BibRef
Chien, H.,
Moayed, Z.,
Zhu, Y.,
Zhang, Y.,
Klette, R.,
On Improving Bounding Box Regression Towards Accurate Object
Detection and Tracking,
IVCNZ19(1-6)
IEEE DOI
2004
cameras, convolutional neural nets, Kalman filters,
object detection, object tracking, regression analysis,
convolutional neural networks
BibRef
Le, X.,
Gonzalez, R.,
Hybrid salient motion detection using temporal differencing and
Kalman filter tracking with non-stationary camera,
ICIP17(3345-3349)
IEEE DOI
1803
Acceleration, Cameras, Covariance matrices, Kalman filters,
Motion detection, Optical flow, Robustness, block matching,
temporal differencing
BibRef
Faghihi, M.,
Yazdi, M.,
Dianat, S.A.[Sohail A.],
Superpixel tracking using Kalman filter,
IPRIA17(170-176)
IEEE DOI
1712
Kalman filters, image sequences, motion estimation,
object tracking, video signal processing, Kalman filter,
visual tracking
BibRef
Ha, H.W.[Hyo-Won],
Rameau, F.[François],
Kweon, I.S.[In So],
6-DOF Direct Homography Tracking with Extended Kalman Filter,
PSIVT15(447-460).
Springer DOI
1602
BibRef
Siam, M.,
El Helw, M.,
Enhanced Target Tracking in UAV Imagery with P-N Learning and
Structural Constraints,
CVVT13(586-593)
IEEE DOI
1403
Kalman filters
BibRef
Chapter on Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in
Target Tracking Techniques, Multiple Trackers, Multiple Models, Fusion .