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Earlier:
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0105
BibRef
Earlier: A1, A3, A2:
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BibRef
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Earlier: A1, A2:
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BibRef
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Real-time view-based pose recognition and interpolation for tracking
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BibRef
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MVA(21), No. 1, November 2009, pp. xx-yy.
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0911
BibRef
Earlier:
Visual-Model Based Spatial Tracking in the Presence of Occlusions,
CRV08(163-170).
IEEE DOI
0805
BibRef
Earlier:
Colour-Gradient Redundancy for Real-time Spatial Pose Tracking in
Autonomous Robot Navigation,
CRV06(20-20).
IEEE DOI
0607
BibRef
Babenko, B.[Boris],
Yang, M.H.[Ming-Hsuan],
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Robust Object Tracking with Online Multiple Instance Learning,
PAMI(33), No. 8, August 2011, pp. 1619-1632.
IEEE DOI
1107
BibRef
Earlier:
Visual tracking with online Multiple Instance Learning,
CVPR09(983-990).
IEEE DOI
0906
Given the location in frame 1, train classifier on the object.
BibRef
Babenko, B.[Boris],
Dollar, P.[Piotr],
Tu, Z.W.[Zhuo-Wen],
Belongie, S.J.[Serge J.],
Simultaneous Learning and Alignmennt:
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Faces08(xx-yy).
0810
See also MILCut: A Sweeping Line Multiple Instance Learning Paradigm for Interactive Image Segmentation.
BibRef
Dollár, P.[Piotr],
Appel, R.,
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Fast Feature Pyramids for Object Detection,
PAMI(36), No. 8, August 2014, pp. 1532-1545.
IEEE DOI
1407
Accuracy
BibRef
Dollár, P.[Piotr],
Babenko, B.[Boris],
Belongie, S.J.[Serge J.],
Perona, P.[Pietro],
Tu, Z.W.[Zhuo-Wen],
Multiple Component Learning for Object Detection,
ECCV08(II: 211-224).
Springer DOI
0810
BibRef
Zhang, P.[Peng],
Yu, S.J.[Shu-Jian],
Xu, J.M.[Jia-Miao],
You, X.G.[Xin-Ge],
Jiang, X.B.[Xiu-Bao],
Jing, X.Y.[Xiao-Yuan],
Tao, D.C.[Da-Cheng],
Robust Visual Tracking Using Multi-Frame Multi-Feature Joint Modeling,
CirSysVideo(29), No. 12, December 2019, pp. 3673-3686.
IEEE DOI
1912
Target tracking, Visualization, Training, Correlation,
Computational modeling, Histograms,
correlation filters
BibRef
Zha, Y.F.[Yu-Fei],
Zhang, Y.Q.[Yuan-Qiang],
Ku, T.[Tao],
Huang, H.Q.[Han-Qiao],
Huang, W.[Wei],
Zhang, P.[Peng],
Multiple Instance Models Regression for Robust Visual Tracking,
CirSysVideo(31), No. 3, March 2021, pp. 1125-1137.
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2103
Target tracking, Training, Computational modeling,
Integrated circuit modeling, Data models, Robustness,
reliability evaluation
BibRef
Li, X.[Xi],
Zhao, L.M.[Li-Ming],
Ji, W.[Wei],
Wu, Y.M.[Yi-Ming],
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Yang, M.H.[Ming-Hsuan],
Tao, D.C.[Da-Cheng],
Reid, I.D.[Ian D.],
Multi-Task Structure-Aware Context Modeling for Robust Keypoint-Based
Object Tracking,
PAMI(41), No. 4, April 2019, pp. 915-927.
IEEE DOI
1903
Object tracking, Task analysis, Robustness, Computational modeling,
Coherence, Feature extraction, Keypoint tracking, context modeling,
metric learning
BibRef
Hong, Z.B.[Zhi-Bin],
Wang, C.H.[Chao-Hui],
Mei, X.[Xue],
Prokhorov, D.[Danil],
Tao, D.C.[Da-Cheng],
Tracking Using Multilevel Quantizations,
ECCV14(VI: 155-171).
Springer DOI
1408
BibRef
Hong, Z.B.[Zhi-Bin],
Mei, X.[Xue],
Prokhorov, D.[Danil],
Tao, D.C.[Da-Cheng],
Tracking via Robust Multi-task Multi-View Joint Sparse Representation,
ICCV13(649-656)
IEEE DOI
1403
Multi-task; Multi-view; Outliers; Sparse Representation; Tracking
BibRef
Naiel, M.A.[Mohamed A.],
Ahmad, M.O.[M. Omair],
Swamy, M.N.S.,
Lim, J.W.[Jong-Woo],
Yang, M.H.[Ming-Hsuan],
Online Multi-Object Tracking via Robust Collaborative Model and
Sample Selection,
CVIU(154), No. 1, 2017, pp. 94-107.
Elsevier DOI
1612
Multi-object tracking
See also Real-Time Object Tracking Via Online Discriminative Feature Selection.
BibRef
Naiel, M.A.[Mohamed A.],
Ahmad, M.O.[M. Omair],
Swamy, M.N.S.,
Wu, Y.[Yi],
Yang, M.H.[Ming-Hsuan],
Online multi-person tracking via robust collaborative model,
ICIP14(431-435)
IEEE DOI
1502
Collaboration
BibRef
Bae, S.H.[Seung-Hwan],
Yoon, K.J.[Kuk-Jin],
Robust Online Multiobject Tracking With Data Association and Track
Management,
IP(23), No. 7, July 2014, pp. 2820-2833.
IEEE DOI
1407
BibRef
And:
Robust Online Multi-object Tracking Based on Tracklet Confidence and
Online Discriminative Appearance Learning,
CVPR14(1218-1225)
IEEE DOI
1409
Bayes methods
BibRef
Yoon, J.H.[Ju Hong],
Lee, C.R.[Chang-Ryeol],
Yang, M.H.[Ming-Hsuan],
Yoon, K.J.[Kuk-Jin],
Structural Constraint Data Association for Online Multi-object Tracking,
IJCV(127), No. 1, January 2019, pp. 1-21.
Springer DOI
1901
BibRef
Earlier:
Online Multi-object Tracking via Structural Constraint Event
Aggregation,
CVPR16(1392-1400)
IEEE DOI
1612
BibRef
Bae, S.H.[Seung-Hwan],
Yoon, K.J.[Kuk-Jin],
Confidence-Based Data Association and Discriminative Deep Appearance
Learning for Robust Online Multi-Object Tracking,
PAMI(40), No. 3, March 2018, pp. 595-610.
IEEE DOI
1802
Adaptation models, Learning systems, Machine learning, Robustness,
Target tracking, Trajectory, Multi-object tracking,
tracklet confidence
BibRef
Yoon, J.H.[Ju Hong],
Yang, M.H.[Ming-Hsuan],
Lim, J.W.[Jong-Woo],
Yoon, K.J.[Kuk-Jin],
Bayesian Multi-object Tracking Using Motion Context from Multiple
Objects,
WACV15(33-40)
IEEE DOI
1503
Bayes methods
BibRef
Yang, F.[Fan],
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Yang, M.H.[Ming-Hsuan],
Learning structured visual dictionary for object tracking,
IVC(31), No. 12, 2013, pp. 992-999.
Elsevier DOI
1312
Object tracking
BibRef
Zhong, W.[Wei],
Lu, H.C.[Hu-Chuan],
Yang, M.H.[Ming-Hsuan],
Robust Object Tracking via Sparse Collaborative Appearance Model,
IP(23), No. 5, May 2014, pp. 2356-2368.
IEEE DOI
1405
BibRef
Earlier:
Robust object tracking via sparsity-based collaborative model,
CVPR12(1838-1845).
IEEE DOI
1208
Collaboration
BibRef
Wang, D.[Dong],
Lu, H.C.[Hu-Chuan],
Bo, C.J.[Chun-Juan],
Fast and Robust Object Tracking via Probability Continuous Outlier
Model,
IP(24), No. 12, December 2015, pp. 5166-5176.
IEEE DOI
1512
BibRef
Earlier: A1, A2, Only:
Visual Tracking via Probability Continuous Outlier Model,
CVPR14(3478-3485)
IEEE DOI
1409
Gaussian noise.
Linear Representation;Outlier Model;Visual Tracking
See also Object Tracking via 2DPCA and L_1 -Regularization.
BibRef
Jia, X.[Xu],
Lu, H.C.[Hu-Chuan],
Yang, M.H.[Ming-Hsuan],
Visual Tracking via Coarse and Fine Structural Local Sparse
Appearance Models,
IP(25), No. 10, October 2016, pp. 4555-4564.
IEEE DOI
1610
BibRef
Earlier:
Visual Tracking Via Adaptive Structural Local Sparse Appearance Model,
CVPR12(1822-1829).
IEEE DOI
1208
compressed sensing
See also Visual Tracking via Sparse and Local Linear Coding.
BibRef
Jia, X.[Xu],
Wang, D.[Dong],
Lu, H.C.[Hu-Chuan],
Fragment-based tracking using online multiple kernel learning,
ICIP12(393-396).
IEEE DOI
1302
BibRef
Chiron, G.[Guillaume],
Gomez-Krämer, P.[Petra],
Ménard, M.,
Detecting and tracking honeybees in 3D at the beehive entrance using
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JIVP(2013), No. 1, 2013, pp. 59.
DOI Link
1311
BibRef
Chiron, G.[Guillaume],
Gomez-Kramer, P.[Petra],
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Discovering Emergent Behaviors from Tracks Using Hierarchical
Non-parametric Bayesian Methods,
ICPR14(2185-2190)
IEEE DOI
1412
Bayes methods
BibRef
Chiron, G.[Guillaume],
Gomez-Krämer, P.[Petra],
3D Tracking of Honeybees Enhanced by Environmental Context,
CIAP13(I:702-711).
Springer DOI
1311
BibRef
Risse, B.,
Berh, D.,
Tao, J.L.[Jun-Li],
Jiang, X.Y.[Xiao-Yi],
Klette, R.,
Klämbt, C.,
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JIVP(2013), No. 1, 2013, pp. 57.
DOI Link
1311
BibRef
Tao, J.L.[Jun-Li],
Risse, B.[Benjamin],
Jiang, X.Y.[Xiao-Yi],
Stereo and Motion Based 3D High Density Object Tracking,
PSIVT13(136-148).
Springer DOI
1402
BibRef
Ahmad, A.[Aamir],
Xavier, J.[João],
Santos-Victor, J.[José],
Lima, P.[Pedro],
3D to 2D bijection for spherical objects under equidistant fisheye
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CVIU(125), No. 1, 2014, pp. 172-183.
Elsevier DOI
1406
Equidistant projection
BibRef
Bruni, V.[Vittoria],
Vitulano, D.[Domenico],
An Improvement of Kernel-Based Object Tracking Based on Human
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SMCS(44), No. 11, November 2014, pp. 1474-1485.
IEEE DOI
1411
BibRef
Earlier:
A Perception-Based Interpretation of the Kernel-Based Object Tracking,
ACIVS13(596-607).
Springer DOI
1311
image motion analysis
BibRef
Wu, Y.W.[Yu-Wei],
Pei, M.T.[Ming-Tao],
Yang, M.[Min],
Yuan, J.S.[Jun-Song],
Jia, Y.D.[Yun-De],
Robust Discriminative Tracking via Landmark-Based Label Propagation,
IP(24), No. 5, May 2015, pp. 1510-1523.
IEEE DOI
1504
Bayes methods
See also Online Discriminative Tracking With Active Example Selection.
BibRef
Gao, S.Y.[Shen-Yuan],
Zhou, C.L.[Chun-Luan],
Ma, C.[Chao],
Wang, X.G.[Xing-Gang],
Yuan, J.S.[Jun-Song],
AiATrack: Attention in Attention for Transformer Visual Tracking,
ECCV22(XXII:146-164).
Springer DOI
2211
BibRef
Wu, Y.W.[Yu-Wei],
Pei, M.T.[Ming-Tao],
Yang, M.[Min],
He, Y.[Yang],
Jia, Y.D.[Yun-De],
Landmark-Based Inductive Model for Robust Discriminative Tracking,
ACCV14(V: 320-335).
Springer DOI
1504
BibRef
He, Y.[Yang],
Dong, Z.[Zhen],
Yang, M.[Min],
Chen, L.[Lei],
Pei, M.T.[Ming-Tao],
Jia, Y.D.[Yun-De],
Visual Tracking Using Multi-stage Random Simple Features,
ICPR14(4104-4109)
IEEE DOI
1412
Computational modeling.
Convolutional Networks model applied to tracking.
Features extracted by ConvNets for tracking.
BibRef
Bency, A.J.,
Karthikeyan, S.,
de Leo, C.,
Sunderrajan, S.,
Manjunath, B.S.,
Search Tracker: Human-Derived Object Tracking in the Wild Through
Large-Scale Search and Retrieval,
CirSysVideo(27), No. 8, August 2017, pp. 1803-1814.
IEEE DOI
1708
Detectors, Libraries, Object tracking, Search problems,
Target tracking, Training, Data-driven methods,
video search and retrieval, visual, object, tracking
BibRef
Zhou, Z.W.[Zong-Wei],
Luo, W.H.[Wen-Han],
Wang, Q.A.[Qi-Ang],
Xing, J.L.[Jun-Liang],
Hu, W.M.[Wei-Ming],
Distractor-aware discrimination learning for online multiple object
tracking,
PR(107), 2020, pp. 107512.
Elsevier DOI
2008
Multi-object tracking,
Distractor-aware discrimination learning, Relational attention learning
BibRef
Xing, J.L.[Jun-Liang],
Gao, J.[Jin],
Li, B.[Bing],
Hu, W.M.[Wei-Ming],
Yan, S.C.[Shui-Cheng],
Robust Object Tracking with Online Multi-Lifespan Dictionary Learning,
ICCV13(665-672)
IEEE DOI
1403
Object tracking. Sparse representations for tracking.
BibRef
Liu, L.W.[Li-Wei],
Xing, J.L.[Jun-Liang],
Ai, H.Z.[Hai-Zhou],
Online structure learning for robust object tracking,
ICIP13(3909-3913)
IEEE DOI
1402
Object tracking; block-based; random forest; structure learning
BibRef
Gao, J.[Jin],
Xing, J.L.[Jun-Liang],
Hu, W.M.[Wei-Ming],
Maybank, S.J.[Steve J.],
Discriminant Tracking Using Tensor Representation with
Semi-supervised Improvement,
ICCV13(1569-1576)
IEEE DOI
1403
See also Transfer Learning Based Visual Tracking with Gaussian Processes Regression.
BibRef
Wang, Q.A.[Qi-Ang],
Xu, G.Y.[Guang-You],
Ai, H.Z.[Hai-Zhou],
Learning object intrinsic structure for robust visual tracking,
CVPR03(II: 227-233).
IEEE DOI
0307
BibRef
Zheng, L.Y.[Lin-Yu],
Tang, M.[Ming],
Chen, Y.Y.[Ying-Ying],
Wang, J.Q.[Jin-Qiao],
Lu, H.Q.[Han-Qing],
Learning Feature Embeddings for Discriminant Model Based Tracking,
ECCV20(XV:759-775).
Springer DOI
2011
BibRef
Sun, Y.,
He, T.,
Peng, Y.,
Qi, J.,
Hu, J.,
Prediction-Decision Network For Video Object Tracking,
ICIP20(271-275)
IEEE DOI
2011
Target tracking, Feature extraction, Object tracking,
Machine learning, Benchmark testing,
recurrent neural network
BibRef
Song, B.,
Liu, J.,
Ye, J.,
Perception Enhanced Frame For Visual Object Tracking,
ICIP20(658-662)
IEEE DOI
2011
Target tracking, Feature extraction, Object tracking, Convolution,
Object detection, Visualization, Robustness, feature selection,
object tracking
BibRef
Gujjunoori, S.,
Reddy, S.S.S.,
Gouthaman, K.V.,
Tracking and Size Estimation of Objects in Motion,
CMVIT17(87-92)
IEEE DOI
1704
image classification
BibRef
Yang, C.[Cheng],
Collins, J.,
A model for honey bee tracking on 2D video,
ICVNZ15(1-6)
IEEE DOI
1701
image colour analysis
BibRef
Seo, B.K.[Byung-Kuk],
Wuest, H.[Harald],
A Direct Method for Robust Model-Based 3D Object Tracking from a
Monocular RGB Image,
6DPose16(III: 551-562).
Springer DOI
1611
BibRef
Kumar, R.[Ratnesh],
Batra, D.[Dhruv],
Pose tracking by efficiently exploiting global features,
WACV16(1-9)
IEEE DOI
1606
Adaptation models
BibRef
Ciptadi, A.[Arridhana],
Rehg, J.M.[James M.],
Minimizing Human Effort in Interactive Tracking by Incremental
Learning of Model Parameters,
ICCV15(4382-4390)
IEEE DOI
1602
Computational modeling
BibRef
Michel, F.[Frank],
Kirillov, A.,
Brachmann, E.[Eric],
Krull, A.[Alexander],
Gumhold, S.[Stefan],
Savchynskyy, B.,
Rother, C.[Carsten],
Global Hypothesis Generation for 6D Object Pose Estimation,
CVPR17(115-124)
IEEE DOI
1711
Cameras, Graphical models, Iterative closest point algorithm,
Pose estimation, Robustness,
BibRef
Brachmann, E.[Eric],
Michel, F.[Frank],
Krull, A.[Alexander],
Yang, M.Y.[Michael Ying],
Gumhold, S.[Stefan],
Rother, C.[Carsten],
Uncertainty-Driven 6D Pose Estimation of Objects and Scenes from a
Single RGB Image,
CVPR16(3364-3372)
IEEE DOI
1612
BibRef
Earlier: A2, A3, A1, A4, A5, A6:
Learning Analysis-by-Synthesis for 6D Pose Estimation in RGB-D Images,
ICCV15(954-962)
IEEE DOI
1602
BibRef
Earlier: A2, A3, A1, A4, A5, A6:
Pose Estimation of Kinematic Chain Instances via Object Coordinate
Regression,
BMVC15(xx-yy).
DOI Link
1601
BibRef
Krull, A.[Alexander],
Michel, F.[Frank],
Brachmann, E.[Eric],
Gumhold, S.[Stefan],
Ihrke, S.[Stephan],
Rother, C.[Carsten],
6-DOF Model Based Tracking via Object Coordinate Regression,
ACCV14(IV: 384-399).
Springer DOI
1504
BibRef
Prasad, M.G.[Meghshyam G.],
Chandran, S.[Sharat],
Brown, M.S.[Michael S.],
A Motion Blur Resilient Fiducial for Quadcopter Imaging,
WACV15(254-261)
IEEE DOI
1503
Algorithm design and analysis. Feature in environment to track.
BibRef
Murshed, M.[Mahbub],
Jabid, T.[Taskeed],
Ishraque, S.M.Z.[S.M. Zahid],
Discriminative Directional Texture and Color for Robust Target
Tracking,
ICPR14(4176-4181)
IEEE DOI
1412
Color; Histograms; Image color analysis; Kernel; Lighting; Target tracking
BibRef
Shen, M.M.[Min-Min],
Szyszka, P.[Paul],
Galizia, C.G.[C. Giovanni],
Merhof, D.[Dorit],
Automatic framework for tracking honeybee's antennae and mouthparts
from low framerate video,
ICIP13(4112-4116)
IEEE DOI
1402
bee antennae and mandibles and proboscis
BibRef
Rhee, E.J.[Eun Joo],
Park, J.[Jungsik],
Seo, B.K.[Byung-Kuk],
Jong, P.[Park],
Tolerance analysis of model-based camera tracking by modeling errors,
FCV13(305-308).
IEEE DOI
1304
BibRef
Calvet, L.[Lilian],
Gurdjos, P.[Pierre],
An Enhanced Structure-from-Motion Paradigm Based on the Absolute Dual
Quadric and Images of Circular Points,
ICCV13(985-992)
IEEE DOI
1403
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Chapter on Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in
Target Tracking, Collision Detection .