16.6.2.3.1 Target Tracking Techniques, Filter Techniques

Chapter Contents (Back)
Target Tracking. Filter Techniques. Correlation Filter.

Zhang, T.X.[Tian-Xu], Li, M.[Meng], Zuo, Z.R.[Zheng-Rong], Yang, W.D.[Wei-Dong], Sun, X.C.[Xie-Chang],
Moving dim point target detection with three-dimensional wide-to-exact search directional filtering,
PRL(28), No. 2, 15 January 2007, pp. 246-253.
Elsevier DOI 0611
3DSTAPF; 3DDF; 3DWESDF; Moving dim target detection; IR image BibRef

Bishop, A.N., Pathirana, P.N., Savkin, A.V.,
Radar Target Tracking via Robust Linear Filtering,
SPLetters(14), No. 12, December 2007, pp. 1028-1031.
IEEE DOI 0711
BibRef

Kassas, Z.M., Ozguner, U.,
A Nonlinear Filter Coupled With Hospitability and Synthetic Inclination Maps for In-Surveillance and Out-of-Surveillance Tracking,
SMC-C(40), No. 1, January 2010, pp. 87-97.
IEEE DOI 0912
Ground targets. Nonlinear Bayesian filter to track when out of surveillance. Hospitality map: terrain bases, how likely the target will be there. BibRef

Minvielle, P.[Pierre], Doucet, A.[Arnaud], Marrs, A.[Alan], Maskell, S.[Simon],
A Bayesian approach to joint tracking and identification of geometric shapes in video sequences,
IVC(28), No. 1, Januray 2010, pp. 111-123.
Elsevier DOI 1001
Bayesian model selection; Particle filtering; Target tracking BibRef

Vermaak, J., Maskell, S., Briers, M., Perez, P.,
Bayesian Visual Tracking with Existence Process,
ICIP05(I: 721-724).
IEEE DOI 0512
BibRef

Vermaak, J., Lawrence, N.D., Perez, P.,
Variational inference for visual tracking,
CVPR03(I: 773-780).
IEEE DOI 0307
BibRef

Vermaak, J., Pérez, P., Gangnet, M., Blake, A.,
Towards Improved Observation Models for Visual Tracking: Selective Adaptation,
ECCV02(I: 645 ff.).
Springer DOI 0205
BibRef

Pérez, P.[Patrick], Vermaak, J.[Jaco],
Bayesian Tracking with Auxiliary Discrete Processes. Application to Detection and Tracking of Objects with Occlusions,
WDV06(190-202).
Springer DOI 0705
BibRef

Yang, R., Ng, B.P., Ng, G.W.,
WTDM-Based M^3H Filter for Target Tracking in the Presence of Outliers,
SPLetters(17), No. 7, July 2010, pp. 623-626.
IEEE DOI 1006
WTDM: Waiting-Time-Dependent semi-Markov. Noise models for outliers. BibRef

Fourie, J.[Jaco], Mills, S.[Steven], Green, R.[Richard],
Harmony Filter: A robust visual tracking system using the improved harmony search algorithm,
IVC(28), No. 12, December 2010, pp. 1702-1716.
Elsevier DOI 1003
BibRef
Earlier:
Visual tracking using the harmony search algorithm,
IVCNZ08(1-6).
IEEE DOI 0811
Visual tracking; Harmony search algorithm; Soft computing; Evolutionary algorithm 2000 MSC: 68T45 BibRef

French, A., Mills, S., Pridmore, T.P.,
Condensation tracking through a hough space,
ICPR04(IV: 195-198).
IEEE DOI 0409
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

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

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

Gong, J.L.[Jiu-Lu], Fan, G.L.[Guo-Liang], Yu, L.J.[Liang-Jiang], Havlicek, J.P.[Joseph P.], Chen, D.[Derong], Fan, N.J.[Ning-Jun],
Joint view-identity manifold for infrared target tracking and recognition,
CVIU(118), No. 1, 2014, pp. 211-224.
Elsevier DOI 1312
BibRef
Earlier: A1, A2, A3, A4, A5, Only:
Joint view-identity manifold for target tracking and recognition,
ICIP12(1357-1360).
IEEE DOI 1302
Automatic target tracking and recognition BibRef

Yu, L.J.[Liang-Jiang], Fan, G.L.[Guo-Liang], Gong, J.L.[Jiu-Lu], Havlicek, J.P.[Joseph P.],
Simultaneous target recognition, segmentation and pose estimation,
ICIP13(2655-2659)
IEEE DOI 1402
BibRef

Gong, J.L.[Jiu-Lu], Fan, G.L.[Guo-Liang], Havlicek, J.P.[Joseph P.], Fan, N.J.[Ning-Jun], Chen, D.[Derong],
Infrared target tracking, recognition and segmentation using shape-aware level set,
ICIP13(3283-3287)
IEEE DOI 1402
BibRef

Venkataraman, V.[Vijay], Fan, G.L.[Guo-Liang], Yu, L.J.[Liang-Jiang], Zhang, X.[Xin], Liu, W.G.[Wei-Guang], Havlicek, J.P.[Joseph P.],
Joint target tracking and recognition using view and identity manifolds,
OTCBVS11(33-40).
IEEE DOI 1106
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

Farah, R.[Rana], Gan, Q.[Qifeng], Langlois, J.M.P.[J.M. Pierre], Bilodeau, G.A.[Guillaume-Alexandre], Savaria, Y.[Yvon],
A computationally efficient importance sampling tracking algorithm,
MVA(25), No. 7, October 2014, pp. 1761-1777.
Springer DOI 1410
Based on CONDENSATION. See also C-Conditional Density Propagation for Visual Tracking. 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

Alismail, H.[Hatem], Browning, B.[Brett], Lucey, S.[Simon],
Enhancing Direct Camera Tracking with Dense Feature Descriptors,
ACCV16(IV: 535-551).
Springer DOI 1704
BibRef
And:
Robust Tracking in Low Light and Sudden Illumination Changes,
3DV16(389-398)
IEEE DOI 1701
least squares approximations BibRef

Rapuru, M.K., Kakanuru, S., Venugopal, P.M., Mishra, D., Subrahmanyam, G.R.K.S.[G. R. K. S.],
Correlation-Based Tracker-Level Fusion for Robust Visual Tracking,
IP(26), No. 10, October 2017, pp. 4832-4842.
IEEE DOI 1708
image fusion, learning (artificial intelligence), object tracking, ALOV300++, Kernelized correlation filter tracker, correlation-based tracker-level fusion, frame-level detection strategy, robust visual tracking, visual object tracking algorithms, visual tracker benchmark, BibRef

Gundogdu, E.[Erhan], Ozkan, H.[Huseyin], Alatan, A.A.[A. Aydin],
Extending Correlation Filter-Based Visual Tracking by Tree-Structured Ensemble and Spatial Windowing,
IP(26), No. 11, November 2017, pp. 5270-5283.
IEEE DOI 1709
BibRef
Earlier:
Ensemble Of adaptive correlation filters for robust visual tracking,
AVSS16(15-22)
IEEE DOI 1611
trees (mathematics), binary tree, tree-structured ensemble, Target tracking, ensemble tracker, mixture of experts BibRef

Gundogdu, E., Koc, A., Solmaz, B., Hammoud, R.I., Alatan, A.A.,
Evaluation of Feature Channels for Correlation-Filter-Based Visual Object Tracking in Infrared Spectrum,
PBVS16(290-298)
IEEE DOI 1612
BibRef

Gundogdu, E.[Erhan], Alatan, A.A.[A. Aydin],
Good Features to Correlate for Visual Tracking,
IP(27), No. 5, May 2018, pp. 2526-2540.
IEEE DOI 1804
Computational modeling, Convolution, Correlation, Machine learning, Target tracking, Training, Visualization, Visual tracking, deep feature learning BibRef

Seckin Demir, H., Faruk Adil, O.,
Part-Based Co-Difference Object Tracking Algorithm for Infrared Videos,
ICIP18(3723-3727)
IEEE DOI 1809
Object tracking, Visualization, Target tracking, Task analysis, Surveillance, Covariance matrices, surveillance BibRef

Gundogdu, E.[Erhan], Ozkan, H.[Huseyin], Seckin Demir, H., Ergezer, H.[Hamza], Akagunduz, E.[Erdem], Pakin, S.K.[S. Kubilay],
Comparison of infrared and visible imagery for object tracking: Toward trackers with superior IR performance,
PBVS15(1-9)
IEEE DOI 1510
Correlators BibRef

Tanisik, G.[Gokhan], Gundogdu, E.[Erhan],
Multiple model adaptive visual tracking with correlation filters,
ICIP15(661-665)
IEEE DOI 1512
adaptive update rate; multiple model; visual tracking BibRef

Gu, X.D.[Xiao-Dong], Huang, X.Y.[Xin-Yu], Tokuta, A.[Alade],
Multiscale spatially regularised correlation filters for visual tracking,
IET-CV(11), No. 3, April 2017, pp. 220-225.
DOI Link 1704
BibRef

Danelljan, M.[Martin], Häger, G.[Gustav], Khan, F.S.[Fahad Shahbaz], Felsberg, M.[Michael],
Discriminative Scale Space Tracking,
PAMI(39), No. 8, August 2017, pp. 1561-1575.
IEEE DOI 1707
BibRef
Earlier:
Adaptive Decontamination of the Training Set: A Unified Formulation for Discriminative Visual Tracking,
CVPR16(1430-1438)
IEEE DOI 1612
BibRef
Earlier:
Learning Spatially Regularized Correlation Filters for Visual Tracking,
ICCV15(4310-4318)
IEEE DOI 1602
BibRef
And:
Convolutional Features for Correlation Filter Based Visual Tracking,
VOT15(621-629)
IEEE DOI 1602
BibRef
And:
Coloring Channel Representations for Visual Tracking,
SCIA15(117-129).
Springer DOI 1506
BibRef
Earlier:
Accurate Scale Estimation for Robust Visual Tracking,
BMVC14(xx-yy).
HTML Version. 1410
Correlation, Decision support systems, Estimation, Robustness, Standards, Target tracking, Visualization, Visual tracking, correlation filters, scale, estimation Benchmark testing BibRef

Danelljan, M.[Martin], Bhat, G.[Goutam], Khan, F.S.[Fahad Shahbaz], Felsberg, M.[Michael],
ECO: Efficient Convolution Operators for Tracking,
CVPR17(6931-6939)
IEEE DOI 1711
Biological system modeling, Computational complexity, Computational modeling, Convolution, Robustness, Target tracking, Training BibRef

Danelljan, M.[Martin], Khan, F.S.[Fahad Shahbaz], Felsberg, M.[Michael], van de Weijer, J.[Joost],
Adaptive Color Attributes for Real-Time Visual Tracking,
CVPR14(1090-1097)
IEEE DOI 1409
Adaptive Dimensionality Reduction BibRef

Gladh, S., Danelljan, M.[Martin], Khan, F.S.[Fahad Shahbaz], Felsberg, M.[Michael],
Deep motion features for visual tracking,
ICPR16(1243-1248)
IEEE DOI 1705
Feature extraction, Image color analysis, Optical imaging, Target tracking, Training, Visualization BibRef

Johnander, J.[Joakim], Danelljan, M.[Martin], Khan, F.S.[Fahad Shahbaz], Felsberg, M.[Michael],
DCCO: Towards Deformable Continuous Convolution Operators for Visual Tracking,
CAIP17(I: 55-67).
Springer DOI 1708
BibRef

Danelljan, M.[Martin], Robinson, A.[Andreas], Khan, F.S.[Fahad Shahbaz], Felsberg, M.[Michael],
Beyond Correlation Filters: Learning Continuous Convolution Operators for Visual Tracking,
ECCV16(V: 472-488).
Springer DOI 1611
BibRef

Liu, F.H.[Fang-Hui], Zhou, T.[Tao], Fu, K.[Keren], Yang, J.[Jie],
Robust visual tracking via constrained correlation filter coding,
PRL(84), No. 1, 2016, pp. 163-169.
Elsevier DOI 1612
Visual tracking BibRef

Zhou, T.[Tao], Bhaskar, H., Liu, F.H.[Fang-Hui], Yang, J.[Jie],
Graph Regularized and Locality-Constrained Coding for Robust Visual Tracking,
CirSysVideo(27), No. 10, October 2017, pp. 2153-2164.
IEEE DOI 1710
Manifolds, Robustness, Target tracking, Visualization, Appearance, graph regularization, locality-constrained linear coding (LLC), sparse coding, subspace coding. BibRef

Zhou, T., Lu, Y., Di, H.,
Locality-Constrained Collaborative Model for Robust Visual Tracking,
CirSysVideo(27), No. 2, February 2017, pp. 313-325.
IEEE DOI 1702
Collaboration BibRef

Liu, F.H.[Fang-Hui], Zhou, T.[Tao], Fu, K.[Keren], Yang, J.[Jie],
Kernelized temporal locality learning for real-time visual tracking,
PRL(90), No. 1, 2017, pp. 72-79.
Elsevier DOI 1704
Visual tracking BibRef

Gu, K., Zhou, T.[Tao], Liu, F.H.[Fang-Hui], Yang, J., Qiao, Y.,
Correlation filter tracking via bootstrap learning,
ICIP16(459-463)
IEEE DOI 1610
Boosting BibRef

Li, Y.[Yang], Zhang, Y.F.[Ya-Fei], Xu, Y.L.[Yu-Long], Wang, J.B.[Jia-Bao], Miao, Z.[Zhuang],
Robust Scale Adaptive Kernel Correlation Filter Tracker With Hierarchical Convolutional Features,
SPLetters(23), No. 8, August 2016, pp. 1136-1140.
IEEE DOI 1608
filtering theory BibRef

Liu, Z.G.[Zhong-Geng], Lian, Z.C.[Zhi-Chao], Li, Y.[Yang],
A novel adaptive kernel correlation filter tracker with multiple feature integration,
ICIP17(2572-2576)
IEEE DOI 1803
Correlation, Estimation, Feature extraction, Image color analysis, Robustness, Target tracking, Visualization, Visual Tracking BibRef

Li, Y.[Yang], Zhu, J.K.[Jian-Ke],
A Scale Adaptive Kernel Correlation Filter Tracker with Feature Integration,
VOT14(254-265).
Springer DOI 1504
BibRef

Xu, Y.L.[Yu-Long], Wang, J.B.[Jia-Bao], Li, H.[Hang], Li, Y.[Yang], Miao, Z.[Zhuang], Zhang, Y.[Yafei],
Patch-based Scale Calculation for Real-time Visual Tracking,
SPLetters(23), No. 1, January 2016, pp. 40-44.
IEEE DOI 1601
correlation methods BibRef

Xu, Y.L.[Yu-Long], Miao, Z.[Zhuang], Wang, J.B.[Jia-Bao], Li, Y.[Yang], Li, H.[Hang], Zhang, Y.F.[Ya-Fei], Xu, W.[Weiguang], Pan, Z.[Zhisong],
Combining Color Features for Real-Time Correlation Tracking,
IEICE(E100-D), No. 1, January 2017, pp. 225-228.
WWW Link. 1701
BibRef

Zhou, Y.[Yu], Bai, X.[Xiang], Liu, W.Y.[Wen-Yu], Latecki, L.J.[Longin Jan],
Similarity Fusion for Visual Tracking,
IJCV(118), No. 3, July 2016, pp. 337-363.
Springer DOI 1608
BibRef

Zhang, B.C.[Bao-Chang], Li, Z.G.[Zhi-Gang], Cao, X., Ye, Q., Chen, C., Shen, L., Perina, A.[Alessandro], Jill, R.,
Output Constraint Transfer for Kernelized Correlation Filter in Tracking,
SMCS(47), No. 4, April 2017, pp. 693-703.
IEEE DOI 1704
Benchmark testing BibRef

Ma, C.[Chao], Xu, Y.[Yi], Ni, B.B.[Bing-Bing], Yang, X.K.[Xiao-Kang],
When Correlation Filters Meet Convolutional Neural Networks for Visual Tracking,
SPLetters(23), No. 10, October 2016, pp. 1454-1458.
IEEE DOI 1610
adaptive filters BibRef

Kang, W.J.[Wen-Jing], Liu, G.L.[Gong-Liang], Jia, M.[Min],
Withdrawn: Adaptive correlation filters for robust object tracking,
PR(72), No. 1, 2017, pp. 484-493.
Elsevier DOI 1708
BibRef
And: Withdrawn - premature publication. PR(76), No. 1, 2018, pp. 763.
Elsevier DOI 1801
Adaptive correlation filter BibRef

Li, H., Wu, H., Zhang, H., Lin, S., Luo, X., Wang, R.,
Distortion-Aware Correlation Tracking,
IP(26), No. 11, November 2017, pp. 5421-5434.
IEEE DOI 1709
Context modeling, Correlation, Distortion, Target tracking, Training, distortion-aware, normed, correlation, response BibRef

Yao, R., Xia, S., Zhang, Z., Zhang, Y.,
Real-Time Correlation Filter Tracking by Efficient Dense Belief Propagation With Structure Preserving,
MultMed(19), No. 4, April 2017, pp. 772-784.
IEEE DOI 1704
Belief propagation BibRef

Gao, L.[Long], Li, Y.S.[Yun-Song], Ning, J.F.[Ji-Feng],
Improved kernelized correlation filter tracking by using spatial regularization,
JVCIR(50), No. 1, 2018, pp. 74-82.
Elsevier DOI 1712
Visual tracking BibRef

Kuai, Y.L.[Yang-Liu], Wen, G.J.[Gong-Jian], Li, D.D.[Dong-Dong],
Learning adaptively windowed correlation filters for robust tracking,
JVCIR(51), 2018, pp. 104-111.
Elsevier DOI 1802
Correlation filter, Target likelihood, Window adaptation BibRef

Kuai, Y.L.[Yang-Liu], Wen, G.J.[Gong-Jian], Li, D.D.[Dong-Dong],
When correlation filters meet fully-convolutional Siamese networks for distractor-aware tracking,
SP:IC(64), 2018, pp. 107-117.
Elsevier DOI 1804
BibRef
Earlier:
Hyper-Feature Based Tracking with the Fully-Convolutional Siamese Network,
DICTA17(1-7)
IEEE DOI 1804
Object tracking, Correlation filter, Siamese network, SiamFC, Similar category distractor. computer vision, convolution, feature extraction, image representation, image resolution, Visualization BibRef

Chen, K.[Kai], Tao, W.B.[Wen-Bing],
Convolutional Regression for Visual Tracking,
IP(27), No. 7, July 2018, pp. 3611-3620.
IEEE DOI 1805
Discriminatively Learned Correlation Filters (DCF). Convolution, Correlation, Feature extraction, Kernel, Predictive models, Training, Visualization, Visual tracking, linear regression BibRef

Ma, C.[Chao], Huang, J.B.[Jia-Bin], Yang, X.K.[Xiao-Kang], Yang, M.H.[Ming-Hsuan],
Adaptive Correlation Filters with Long-Term and Short-Term Memory for Object Tracking,
IJCV(126), No. 8, August 2018, pp. 771-796.
Springer DOI 1807
BibRef

Ma, C.[Chao], Yang, X.K.[Xiao-Kang], Zhang, C.Y.[Chong-Yang], Yang, M.H.[Ming-Hsuan],
Long-term correlation tracking,
CVPR15(5388-5396)
IEEE DOI 1510
BibRef

Ma, C.[Chao], Huang, J.B., Yang, X.K.[Xiao-Kang], Yang, M.H.[Ming-Hsuan],
Hierarchical Convolutional Features for Visual Tracking,
ICCV15(3074-3082)
IEEE DOI 1602
Correlation BibRef

Peng, C., Liu, F., Yang, J., Kasabov, N.,
Densely Connected Discriminative Correlation Filters for Visual Tracking,
SPLetters(25), No. 7, July 2018, pp. 1019-1023.
IEEE DOI 1807
image representation, learning (artificial intelligence), object tracking, DCFs framework, data-specific target, visual tracking BibRef

Zhang, K.H.[Kai-Hua], Li, X.J.[Xue-Jun], Song, H.H.[Hui-Hui], Liu, Q.S.[Qing-Shan], Lian, W.[Wei],
Visual tracking using spatio-temporally nonlocally regularized correlation filter,
PR(83), 2018, pp. 185-195.
Elsevier DOI 1808
Visual tracking, Video segmentation, Nonlocal appearance learning, Graphical model, Optical flow BibRef

Du, F.[Fei], Liu, P.[Peng], Zhao, W.[Wei], Tang, X.L.[Xiang-Long],
Spatial-temporal adaptive feature weighted correlation filter for visual tracking,
SP:IC(67), 2018, pp. 58-70.
Elsevier DOI 1808
Spatial-temporal adaptation, Adaptive feature weights, Correlation filter tracking, Histogram model BibRef

Hao, Z.H.[Zhao-Hui], Liu, G.[Guixi], Zhang, H.[Haoyang],
Correlation filter-based visual tracking via adaptive weighted CNN features fusion,
IET-IPR(12), No. 8, August 2018, pp. 1423-1431.
DOI Link 1808
BibRef

Jiang, M.[Min], Shen, J.Y.[Jian-Yu], Kong, J.[Jun], Huo, H.T.[Hong-Tao],
Regularisation learning of correlation filters for robust visual tracking,
IET-IPR(12), No. 9, September 2018, pp. 1586-1594.
DOI Link 1809
BibRef

Zheng, W.W.[Wei-Wei], Yu, H.M.[Hui-Min], Huang, W.[Wei],
Visual tracking via Graph Regularized Kernel Correlation Filer and Multi-Memory Voting,
JVCIR(55), 2018, pp. 688-697.
Elsevier DOI 1809
Visual object tracking, Graph Regularized Kernel Correlation Filer, Drift handling BibRef

Baisa, N.L.[Nathanael L.], Bhowmik, D.[Deepayan], Wallace, A.[Andrew],
Long-term correlation tracking using multi-layer hybrid features in sparse and dense environments,
JVCIR(55), 2018, pp. 464-476.
Elsevier DOI 1809
Visual tracking, Correlation filter, CNN features, Hybrid features, Online learning, GM-PHD filter BibRef

Wang, Z.P.[Zhong-Pei], Wang, H.[Hao], Fang, B.[Baofu], Xie, C.J.[Cheng-Jun],
Support vector correlation filter with long-term tracking,
SIViP(12), No. 8, November 2018, pp. 1541-1549.
WWW Link. 1809
BibRef

Wang, X.[Xin], Hou, Z.Q.[Zhi-Qiang], Yu, W.S.[Wang-Sheng], Pu, L.[Lei], Jin, Z.F.[Ze-Fenfen], Qin, X.X.[Xian-Xiang],
Robust occlusion-aware part-based visual tracking with object scale adaptation,
PR(81), 2018, pp. 456-470.
Elsevier DOI 1806
Visual tracking, Correlation filters, Convolutional neural networks, Object occlusion, Online model update BibRef

Wang, J.[Jun], Liu, W.B.[Wei-Bin], Xing, W.W.[Wei-Wei], Zhang, S.[Shunli],
Visual object tracking with multi-scale superpixels and color-feature guided kernelized correlation filters,
SP:IC(63), 2018, pp. 44-62.
Elsevier DOI 1804
Visual tracking, Superpixel, Kernelized correlation filter, Bayesian filter, Color feature guided confidence map, Multi-scale superpixels BibRef

Yao, R.[Rui], Xia, S.X.[Shi-Xiong], Shen, F.[Fumin], Zhou, Y.[Yong], Niu, Q.[Qiang],
Exploiting Spatial Structure from Parts for Adaptive Kernelized Correlation Filter Tracker,
SPLetters(23), No. 5, May 2016, pp. 658-662.
IEEE DOI 1604
Computational modeling BibRef

Zhang, H.L.[Huan-Long], Zhang, X.J.[Xiu-Jiao], Wang, Y.[Yong], Qian, X.L.[Xiao-Liang], Wang, Y.F.[Yan-Feng],
Extended cuckoo search-based kernel correlation filter for abrupt motion tracking,
IET-CV(12), No. 6, September 2018, pp. 763-769.
DOI Link 1808
BibRef

Sui, Y.[Yao], Wang, G.H.[Guang-Hui], Zhang, L.[Li],
Correlation Filter Learning Toward Peak Strength for Visual Tracking,
Cyber(48), No. 4, April 2018, pp. 1290-1303.
IEEE DOI 1804
Correlation, Frequency-domain analysis, Robustness, Target tracking, Training, Visualization, Correlation filtering, visual tracking BibRef

Sui, Y.[Yao], Wang, G.H.[Guang-Hui], Zhang, L.[Li], Yang, M.H.[Ming-Hsuan],
Exploiting Spatial-Temporal Locality of Tracking via Structured Dictionary Learning,
IP(27), No. 3, March 2018, pp. 1282-1296.
IEEE DOI 1801
Computer vision, Correlation, Dictionaries, Machine learning, Target tracking, Video sequences, Visualization, Visual tracking, sparse representation BibRef

Sui, Y.[Yao], Tang, Y.[Yafei], Zhang, L.[Li], Wang, G.H.[Guang-Hui],
Visual Tracking via Subspace Learning: A Discriminative Approach,
IJCV(126), No. 5, May 2018, pp. 515-536.
Springer DOI 1804
BibRef
Earlier: A1, A4, A2, A3:
Tracking Completion,
ECCV16(VIII: 194-209).
Springer DOI 1611
BibRef
Earlier: A1, A2, A3, Only:
Discriminative Low-Rank Tracking,
ICCV15(3002-3010)
IEEE DOI 1602
Computational modeling. Reliable extraction of object for tracking. BibRef

Sui, Y.[Yao], Zhang, Z.[Ziming], Wang, G.H.[Guang-Hui], Tang, Y.[Yafei], Zhang, L.[Li],
Real-Time Visual Tracking: Promoting the Robustness of Correlation Filter Learning,
ECCV16(VIII: 662-678).
Springer DOI 1611
BibRef

Lukežic, A.[Alan], Vojír, T.[Tomáš], Zajc, L.C.[Luka Cehovin], Matas, J.G.[Jirí G.], Kristan, M.[Matej],
Discriminative Correlation Filter Tracker with Channel and Spatial Reliability,
IJCV(126), No. 7, July 2018, pp. 671-688.
Springer DOI 1806
BibRef
Earlier:
Discriminative Correlation Filter with Channel and Spatial Reliability,
CVPR17(4847-4856)
IEEE DOI 1711
Short-term tracking. Benchmark testing, Closed-form solutions, Correlation, Optimization, Reliability, Search problems, Standards BibRef

Zhou, Y., Han, J., Yang, F., Zhang, K., Hong, R.,
Efficient Correlation Tracking via Center-Biased Spatial Regularization,
IP(27), No. 12, December 2018, pp. 6159-6173.
IEEE DOI 1810
computational complexity, correlation methods, fast Fourier transforms, filtering theory, Gaussian processes, correlation filter BibRef

Zhang, K., Fan, J., Liu, Q., Yang, J., Lian, W.,
Parallel Attentive Correlation Tracking,
IP(28), No. 1, January 2019, pp. 479-491.
IEEE DOI 1810
Target tracking, Visualization, Correlation, Visual perception, Training, Feature extraction, Visual tracking, Boolean map, correlation filter BibRef


Ren, L.L.[Liang-Liang], Yuan, X.[Xin], Lu, J.W.[Ji-Wen], Yang, M.[Ming], Zhou, J.[Jie],
Deep Reinforcement Learning with Iterative Shift for Visual Tracking,
ECCV18(IX: 697-713).
Springer DOI 1810
BibRef

Yao, Y.J.[Ying-Jie], Wu, X.[Xiaohe], Zhang, L.[Lei], Shan, S.G.[Shi-Guang], Zuo, W.M.[Wang-Meng],
Joint Representation and Truncated Inference Learning for Correlation Filter Based Tracking,
ECCV18(IX: 560-575).
Springer DOI 1810
BibRef

Zhang, M.[Mengdan], Wang, Q.A.[Qi-Ang], Xing, J.L.[Jun-Liang], Gao, J.[Jin], Peng, P.[Peixi], Hu, W.M.[Wei-Ming], Maybank, S.[Steve],
Visual Tracking via Spatially Aligned Correlation Filters Network,
ECCV18(III: 484-500).
Springer DOI 1810
BibRef

Cen, M., Jung, C.,
Fully Convolutional Siamese Fusion Networks for Object Tracking,
ICIP18(3718-3722)
IEEE DOI 1809
Target tracking, Object tracking, Correlation, Semantics, Training, Fuses, Object tracking, convolutional neural networks, siamese networks BibRef

Chen, S.[Sheng], Liu, B.[Bin], Chen, C.W.[Chang Wen],
A Structural Coupled-Layer Tracking Method Based on Correlation Filters,
MMMod17(I: 65-76).
Springer DOI 1701
BibRef

Huo, Y., Wang, Y., Yan, X., Dai, K.,
Soft Mask Correlation Filter for Visual Object Tracking,
ICIP18(2705-2709)
IEEE DOI 1809
Correlation, Target tracking, Agriculture, Training, Visualization, Object tracking, Benchmark testing, soft mask, correlation filter, boundary effects BibRef

Liu, G.G.[Guan-Gen], Liu, G.Z.[Gui-Zhong],
Integrating Multi-Level Convolutional Features for Correlation Filter Tracking,
ICIP18(3029-3033)
IEEE DOI 1809
Feature extraction, Target tracking, Manganese, Visualization, Correlation, Training, Filtering algorithms, correlation filters, visual tracking BibRef

Lin, Z., Yuan, C.,
Robust Visual Tracking in Low-Resolution Sequence,
ICIP18(4103-4107)
IEEE DOI 1809
Target tracking, Image resolution, Visualization, Image reconstruction, Feature extraction, Correlation, correlation filter BibRef

Qin, H., Pi, Z., Yu, C., Gaol, C., Yu, J., Sang, N.,
Spatially Attentive Correlation Filters for Visual Tracking,
ICIP18(2695-2699)
IEEE DOI 1809
Target tracking, Correlation, Adaptation models, Color, Training, Mathematical model, Visual Tracking, Correlation Filter, Adaptive Feature Fusion BibRef

Liu, C.H.[Chang-Hong], Yao, X.[Xuwen], Zhu, Z.H.[Zhi-Hong], Peng, S.H.[Shao-Hu], Zheng, W.P.[Wei-Ping],
A robust tracking method based on the correlation filter and correcting strategy,
ICIVC17(698-702)
IEEE DOI 1708
Binary codes, Collaboration, Computational modeling, Detectors, Monitoring, Probability, Robustness, KCF, TLD, correcting capability, visual, tracking BibRef

Zhu, Z., Huang, G., Zou, W., Du, D., Huang, C.,
UCT: Learning Unified Convolutional Networks for Real-Time Visual Tracking,
VOT17(1973-1982)
IEEE DOI 1802
Convolution, Feature extraction, Real-time systems, Target tracking, Training, Visualization BibRef

Kutschbach, T., Bochinski, E., Eiselein, V., Sikora, T.,
Sequential sensor fusion combining probability hypothesis density and kernelized correlation filters for multi-object tracking in video data,
AVSS17(1-5)
IEEE DOI 1806
Gaussian processes, filtering theory, object tracking, video signal processing, GMPHD tracking-by-detection scheme, Visualization BibRef

Mueller, M.[Matthias], Smith, N.[Neil], Ghanem, B.[Bernard],
Context-Aware Correlation Filter Tracking,
CVPR17(1387-1395)
IEEE DOI 1711
BibRef
Earlier:
A Benchmark and Simulator for UAV Tracking,
ECCV16(I: 445-461).
Springer DOI 1611
Benchmark testing, Closed-form solutions, Correlation, Kernel, Target tracking. BibRef

Hu, Q.Y.[Qing-Yong], Guo, Y.L.[Yu-Lan], Lin, Z.P.[Zai-Ping], An, W.[Wei], Cheng, H.W.[Hong-Wei],
Robust and Real-Time Object Tracking Using Scale-Adaptive Correlation Filters,
DICTA16(1-8)
IEEE DOI 1701
Benchmark testing BibRef

He, Z., Fan, Y., Zhuang, J., Dong, Y., Bai, H.,
Correlation Filters with Weighted Convolution Responses,
VOT17(1992-2000)
IEEE DOI 1802
Convolution, Correlation, Feature extraction, Object tracking, Robustness, Target tracking, Visualization BibRef

Li, F., Yao, Y., Li, P., Zhang, D., Zuo, W., Yang, M.H.,
Integrating Boundary and Center Correlation Filters for Visual Tracking with Aspect Ratio Variation,
VOT17(2001-2009)
IEEE DOI 1802
Correlation, Estimation, Robustness, Standards, Target tracking, Visualization BibRef

Yang, T.[Tianyu], Chan, A.B.[Antoni B.],
Learning Dynamic Memory Networks for Object Tracking,
ECCV18(IX: 153-169).
Springer DOI 1810
BibRef
Earlier:
Recurrent Filter Learning for Visual Tracking,
VOT17(2010-2019)
IEEE DOI 1802
Computer architecture, Dogs, Feature extraction, Search problems, Target tracking, Training, Visualization BibRef

Liu, S.[Si], Zhang, T.Z.[Tian-Zhu], Cao, X.C.[Xiao-Chun], Xu, C.S.[Chang-Sheng],
Structural Correlation Filter for Robust Visual Tracking,
CVPR16(4312-4320)
IEEE DOI 1612
BibRef

Bibi, A.[Adel], Mueller, M.[Matthias], Ghanem, B.[Bernard],
Target Response Adaptation for Correlation Filter Tracking,
ECCV16(VI: 419-433).
Springer DOI 1611
BibRef
Earlier: A1, A3, Only:
Multi-template Scale-Adaptive Kernelized Correlation Filters,
VOT15(613-620)
IEEE DOI 1602
Correlation Drawbacks of Kernelized Correlation Filter (KCF) tracker. Some alternatives. BibRef

Bibi, A.[Adel], Zhang, T., Ghanem, B.[Bernard],
3D Part-Based Sparse Tracker with Automatic Synchronization and Registration,
CVPR16(1439-1448)
IEEE DOI 1612
BibRef

Choi, J.[Jongwon], Chang, H.J.[Hyung Jin], Yun, S.[Sangdoo], Fischer, T.[Tobias], Demiris, Y.[Yiannis], Choi, J.Y.[Jin Young],
Attentional Correlation Filter Network for Adaptive Visual Tracking,
CVPR17(4828-4837)
IEEE DOI 1711
Correlation, Kernel, Machine learning, Real-time systems, Robustness, Target tracking, Visualization BibRef

Yun, S.M.[Seok-Min], Na, J.H.[Jin-Hee], Kang, W.S.[Woo-Sung], Choi, J.Y.[Jin-Young],
Hierarchical estimation for adaptive visual tracking,
ICPR08(1-4).
IEEE DOI 0812
BibRef

Li, Z.[Zheng], Yang, J.F.[Jian-Fei], Zha, J.[Juan], Wang, C.D.[Chang-Dong], Zheng, W.S.[Wei-Shi],
Online visual tracking via correlation filter with convolutional networks,
VCIP16(1-4)
IEEE DOI 1701
Computational modeling BibRef

Bertinetto, L.[Luca], Valmadre, J.[Jack], Golodetz, S.[Stuart], Miksik, O.[Ondrej], Torr, P.H.S.[Philip H. S.],
Staple: Complementary Learners for Real-Time Tracking,
CVPR16(1401-1409)
IEEE DOI 1612
BibRef

Valmadre, J.[Jack], Bertinetto, L.[Luca], Henriques, J.F.[Joăo F.], Vedaldi, A.[Andrea], Torr, P.H.S.[Philip H. S.],
End-to-End Representation Learning for Correlation Filter Based Tracking,
CVPR17(5000-5008)
IEEE DOI 1711
BibRef
Earlier: A2, A1, A3, A4, A5:
Fully-Convolutional Siamese Networks for Object Tracking,
VOT16(II: 850-865).
Springer DOI 1611
Computer architecture, Correlation, Filtering algorithms, Object tracking, Optimization, Target tracking, Training BibRef

Han, Y., Deng, C., Zhang, Z., Li, J., Zhao, B.,
Adaptive feature representation for visual tracking,
ICIP17(1867-1870)
IEEE DOI 1803
Indexes, ADMM, Visual tracking, correlation filter, multi-feature templates BibRef

Li, Y., Liu, G.,
Learning a scale-and-rotation correlation filter for robust visual tracking,
ICIP16(454-458)
IEEE DOI 1610
Correlation BibRef

Dong, Y., Yang, M., Pei, M.,
Visual tracking with sparse correlation filters,
ICIP16(439-443)
IEEE DOI 1610
Benchmark testing BibRef

Bello, J.C.F., Havlicek, J.P.[Joseph P.],
A state vector augmentation technique for incorporating indirect velocity information into the likelihood function of the sir video target tracking filter,
Southwest16(109-112)
IEEE DOI 1605
Atmospheric measurements BibRef

Ma, C.[Chao], Yang, X.K.[Xiao-Kang], Zhang, C.Y.[Chong-Yang], Yang, M.H.[Ming-Hsuan],
Learning a temporally invariant representation for visual tracking,
ICIP15(857-861)
IEEE DOI 1512
correlation filters BibRef

Krieger, E.[Evan], Sidike, P.[Paheding], Aspiras, T.[Theus], Asari, V.K.[Vijayan K.],
Directional ringlet intensity feature transform for tracking,
ICIP15(3871-3875)
IEEE DOI 1512
Gaussian ringlet BibRef

Tang, M., Feng, J.,
Multi-kernel Correlation Filter for Visual Tracking,
ICCV15(3038-3046)
IEEE DOI 1602
Correlation BibRef

Montero, A.S., Lang, J., Laganiere, R.,
Scalable Kernel Correlation Filter with Sparse Feature Integration,
VOT15(587-594)
IEEE DOI 1602
Computational modeling BibRef

Zhang, M.D.[Meng-Dan], Xing, J.L.[Jun-Liang], Gao, J.[Jin], Shi, X., Wang, Q., Hu, W.M.[Wei-Ming],
Joint Scale-Spatial Correlation Tracking with Adaptive Rotation Estimation,
VOT15(595-603)
IEEE DOI 1602
BibRef

Zhang, M.D.[Meng-Dan], Xing, J.L.[Jun-Liang], Gao, J.[Jin], Hu, W.M.[Wei-Ming],
Robust visual tracking using joint scale-spatial correlation filters,
ICIP15(1468-1472)
IEEE DOI 1512
Fast Fourier Transform (FFT) BibRef

Liu, T.[Ting], Wang, G.[Gang], Yang, Q.X.[Qing-Xiong],
Real-time part-based visual tracking via adaptive correlation filters,
CVPR15(4902-4912)
IEEE DOI 1510
BibRef

Díaz-Ramírez, V.H.[Víctor Hugo], Picos, K.[Kenia], Kober, V.[Vitaly],
Object Tracking in Nonuniform Illumination Using Space-Variant Correlation Filters,
CIARP13(II:455-462).
Springer DOI 1311
BibRef

Wang, D.J.[Dao-Jing], Zhang, C.[Chao], Hao, P.W.[Peng-Wei],
Heavy-Tailed Model for Visual Tracking via Robust Subspace Learning,
ACCV09(II: 172-181).
Springer DOI 0909
BibRef

Wang, D.J.[Dao-Jing], Zhang, C.[Chao], Zhao, X.M.[Xue-Min],
Multivariate Laplace Filter: A heavy-tailed model for target tracking,
ICPR08(1-4).
IEEE DOI 0812
BibRef

Loxam, J.[James], Drummond, T.W.[Tom W.],
Student-t Mixture Filter for Robust, Real-Time Visual Tracking,
ECCV08(III: 372-385).
Springer DOI 0810
BibRef

Chapter on Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in
Target Tracking Techniques, Kernel Tracking .


Last update:Oct 15, 2018 at 09:19:25