Target Tracking Techniques, Kalman Filters

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Target Tracking. Kalman Filter.
See also Kalman Filtering, General.

Cano, D., Benard, M.,
Kalman Filtering of Image Sequences,
ISPDSA83(563-579). BibRef 8300

Stuller, J.A.[John A.], and Krishnamurthy, G.[Gaplan],
Kalman Filter Formulation of Low-Level Television Image Motion Estimation,
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,
Bell System Tech.(58), September, 1979, pp. 1673-1702. BibRef 7909

Netravali, A.N.[Arun N.], Stuller, J.A.[John A.],
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 Containing a Moving Object,
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,
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

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).

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

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.
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

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

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

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

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.
Kalman filters, GSM, Noise measurement, Robustness, Shape, Target tracking, State-space methods, variational Bayesian (VB) BibRef

Doganšay, 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.
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.
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

Jung, S., Schlangen, I., Charlish, A.,
A Mnemonic Kalman Filter for Non-Linear Systems With Extensive Temporal Dependencies,
SPLetters(27), 2020, pp. 1005-1009.
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.
Adaptive filters, Acceleration, Kinematics, Radar tracking, Adaptation models, Sensors, Velocity measurement, Kalman filters, radar tracking BibRef

Zhang, P., Zhao, J., Bo, C., Wang, D., Lu, H., Yang, X.,
Jointly Modeling Motion and Appearance Cues for Robust RGB-T Tracking,
IP(30), 2021, pp. 3335-3347.
Target tracking, Cameras, Radar tracking, Task analysis, Switches, Lighting, Kalman filters, Visual tracking, RGB-T tracking, multimodal fusion 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

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

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.
Signal processing algorithms, Target tracking, Probability density function, Kalman filters, Kernel, Proposals, multi-target tracking BibRef

Monta˝ez, 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

Dang, L.F.[Long-Fei], Yang, M.[Miao], Yi, K.[Kai], Si, B.[Binghe],
A Moving Target Tracking Technology for Intelligent Police Based on Kalman Filter Method,
Visualization, Target tracking, Filtering, Law enforcement, Object detection, Trajectory, Safety, Moving Target, Motion tracking, Kalman filtering 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,
Springer DOI 2211

Chien, H., Moayed, Z., Zhu, Y., Zhang, Y., Klette, R.,
On Improving Bounding Box Regression Towards Accurate Object Detection and Tracking,
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,
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,
Kalman filters, image sequences, motion estimation, object tracking, video signal processing, Kalman filter, visual tracking BibRef

Ha, H.W.[Hyo-Won], Rameau, F.[Franšois], Kweon, I.S.[In So],
6-DOF Direct Homography Tracking with Extended Kalman Filter,
Springer DOI 1602

Siam, M., El Helw, M.,
Enhanced Target Tracking in UAV Imagery with P-N Learning and Structural Constraints,
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 .

Last update:May 6, 2024 at 15:50:14