16.6.2.5.2 Target Tracking Techniques, Kalman Filters

Chapter Contents (Back)
Target Tracking. Kalman Filter.

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,
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

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.
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

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.
IEEE DOI 2103
Target tracking, Cameras, Radar tracking, Task analysis, Switches, Lighting, Kalman filters, Visual tracking, RGB-T tracking, multimodal fusion BibRef

Huang, Z.[Zihao], 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


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

Zhou, Y., Tang, D., Zhou, H., Xiang, X., Hu, T.,
Vision-Based Online Localization and Trajectory Smoothing for Fixed-Wing UAV Tracking a Moving Target,
VisDrone19(153-160)
IEEE DOI 2004
autonomous aerial vehicles, Kalman filters, mobile robots, robot vision, target tracking, trajectory smoothing 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 .


Last update:Sep 12, 2021 at 22:38:33