16.6.2.13 Tracking Known Objects, Models, Points, Robot Hand-Eye Tracking

Schalkoff, R.J., and McVey, E.S.,
A Model and Tracking Algorithm for a Class of Video Targets,
PAMI(4), No. 1, January 1982, pp. 2-10. Real-time tracking system. BibRef 8201

Friedman, M.B.[Mark B.], Kiliany, G.J.[Gary J.],
Computer vision system with improved object orientation technique,
US_Patent4,891,630, Jan 2, 1990
WWW Link. Specific patches BibRef 9001

Gennery, D.B.,
Visual Tracking of Known Three-Dimensional Objects,
IJCV(7), No. 3, April 1992, pp. 243-270.
Springer DOI BibRef 9204
Earlier:
Tracking Known Three-Dimensional Objects,
AAAI-82(13-17). The known object and its past position and velocity are used to predict the new location, detect the features and adjust estimates (position, orientation, velocity, angular velocity in 3-D). The measurements are time filtered to eliminate noise effects. He goes through some matrix hacking to produce the update equations directly from input values.
See also Object Detection and Measurement Using Stereo Vision. BibRef

Gennery, D.B.,
Stereovision for the Acquisition and Tracking of Moving Three-Dimensional Objects,
T3DMP86(53-74). BibRef 8600

Feddema, J.T., Lee, C.S.G.,
Adaptive Image Feature Prediction and Control for Visual Tracking with a Hand-Eye Coordinated Camera,
SMC(20), 1990, pp. 1172-1183. BibRef 9000

Feddema, J.T., Lee, C.S.G., and Mitchell, O.R.,
Model-Based Visual Feedback Control for a Hand-Eye Coordinated Robotic System,
Computer(25), No. 8, August 1992, pp. 21-31. Active Vision, Tracking. BibRef 9208

Feddema, J.T., Lee, C.S.G., Mitchell, O.R.,
Weighted Selection of Image Features for Resolved Rate Visual Feedback Control,
RA(7), 1991, pp. 31-47. BibRef 9100

Gérard, P.[Philippe], Gagalowicz, A.[André],
Three Dimensional Model-Based Tracking Using Texture Learning and Matching,
PRL(21), No. 13-14, December 2000, pp. 1095-1103. 0011
BibRef
Earlier: Add A2: Vezien, J.M., SCIA99(Computer Vision II). BibRef

Bazin, P.L., Gerard, P., Gagalowicz, A.,
Two computer vision-based tracking applications solved using a robust parallel optimizer,
CIAP99(526-531).
IEEE DOI 9909
BibRef

Christian, A.D.[Andrew Dean], Avery, B.L.[Brian Lyndall],
Technique for tracking objects through a series of images,
US_Patent6,400,830, Jun 4, 2002
WWW Link. BibRef 0206
And:
Technique for classifying objects within an image,
US_Patent6,556,708, Apr 29, 2003
WWW Link. BibRef

Christian, A.D.[Andrew Dean], Avery, B.L.[Brian Lyndall],
Technique for disambiguating proximate objects within an image,
US_Patent6,240,197, May 29, 2001
WWW Link. BibRef 0105
And:
Technique for controlling a presentation of a computer generated object having a plurality of movable components,
US_Patent6,249,292, Jun 19, 2001
WWW Link. BibRef
And:
Technique for differencing an image,
US_Patent6,421,462, Jul 16, 2002
WWW Link. BibRef
And:
Technique for locating objects within an image,
US_Patent6,434,271, Aug 13, 2002
WWW Link. BibRef

Lee, M.C.[Ming-Chieh], Gu, C.[Chuang],
Semantic video object segmentation and tracking,
US_Patent6,400,831, Jun 4, 2002
WWW Link. Track User specified region. BibRef 0206

Gu, C.[Chuang], Lee, M.C.[Ming-Chieh],
Tracking semantic objects in vector image sequences,
US_Patent6,711,278, Mar 23, 2004
WWW Link. BibRef 0403
And: US_Patent7,162,055, Jan 9, 2007
WWW Link. BibRef
And:
Region extraction in vector images,
US_Patent7,088,845, Aug 8, 2006
WWW Link. BibRef

Gu, C.[Chuang], Lee, M.C.[Ming-Chieh],
Semiautomatic Segmentation and Tracking of Semantic Video Objects,
CirSysVideo(8), No. 5, September 1998, pp. 572-584.
IEEE Top Reference. 9810
BibRef
Earlier:
Semantic video object tracking using region-based classification,
ICIP98(III: 643-647).
IEEE DOI 9810
BibRef
Earlier:
Semantic Video Object Segmentation and Tracking Using Mathematical Morphology and Perspective Motion Model,
ICIP97(II: 514-517).
IEEE DOI
See also Extensive partition operators, gray-level connected operators, and region merging/classification segmentation algorithms: theoretical links. BibRef

Gu, C.[Chuang],
Segmentation of image features using hierarchical analysis of multi-valued image data and weighted averaging of segmentation results,
US_Patent6,075,875, Jun 13, 2000
WWW Link. BibRef 0006

Gatica-Perez, D.[Daniel], Gu, C.[Chuang], Sun, M.T.[Ming-Ting],
Semantic video object extraction using four-band watershed and partition lattice operators,
CirSysVideo(11), No. 5, May 2001, pp. 603-618.
IEEE Top Reference. 0105
BibRef
Earlier: A1, A3, A2:
Semantic Video Object Extraction Based on Backward Tracking of Multivalued Watershed,
ICIP99(II:145-149).
IEEE DOI BibRef

Gatica-Perez, D., Sun, M.T.[Ming-Ting], Gu, C.[Chuang],
Multiview extensive partition operators for semantic video object extraction,
CirSysVideo(11), No. 7, July 2001, pp. 788-801.
IEEE Top Reference. 0108
BibRef
Earlier: A1, A2:
Generating Video Objects by Multiple-view Extensive Partition Lattice Operators,
ICIP00(Vol III: 508-511).
IEEE DOI 0008
BibRef

Kondo, T.[Tetsujiro], Okumura, Y.J.[Yu-Ji], Kokubo, T.[Tetsushi], Teshigawara, S.[Satoshi],
Apparatus for generating motion control signal from image signal,
US_Patent7,031,384, Apr 18, 2006
WWW Link. BibRef 0604
And: US_Patent7,382,830, Jun 3, 2008
WWW Link. For a simulator system. BibRef

Thomas, G.[Graham],
Real-time camera tracking using sports pitch markings,
RealTimeIP(2), No. 2-3, November 2007, pp. 117-132.
Springer DOI 0709
BibRef

Felsberg, M.[Michael], Hedborg, J.[Johan],
Real-time view-based pose recognition and interpolation for tracking initialization,
RealTimeIP(2), No. 2-3, November 2007, pp. 103-115.
Springer DOI 0709
BibRef

de Ruiter, H.[Hans], Benhabib, B.[Beno],
On-line modeling for real-time 3D target tracking,
MVA(21), No. 1, November 2009, pp. xx-yy.
Springer DOI 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], Belongie, S.J.[Serge J.],
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: Multi-Instance and Multi-Pose Learning,
Faces08(xx-yy). 0810

See also MILCut: A Sweeping Line Multiple Instance Learning Paradigm for Interactive Image Segmentation. BibRef

Dollár, P.[Piotr], Appel, R., Belongie, S.J.[Serge J.], Perona, P.[Pietro],
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.
IEEE DOI 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], Wu, F.[Fei], 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], Lu, H.C.[Hu-Chuan], 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 stereo vision,
JIVP(2013), No. 1, 2013, pp. 59.
DOI Link 1311
BibRef

Chiron, G.[Guillaume], Gomez-Kramer, P.[Petra], Menard, M.[Michel],
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.,
Comparison of two 3D tracking paradigms for freely flying insects,
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 projection,
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 Perception,
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
absolute quadratic complex BibRef

Calvet, L.[Lilian], Gurdjos, P.[Pierre], Charvillat, V.[Vincent],
Camera tracking based on circular point factorization,
ICPR12(2128-2131).
WWW Link. 1302
BibRef
And:
Camera tracking using concentric circle markers: Paradigms and algorithms,
ICIP12(1361-1364).
IEEE DOI 1302
BibRef

Schumann, M.[Martin], Kowalczyk, S.[Sebastian], Müller, S.[Stefan],
Initialization of Model-based Camera Tracking with Analysis-by-Synthesis,
ISVC12(II: 324-333).
Springer DOI 1209
BibRef

Reinke, S.[Stefan], Gutzeit, E.[Enrico], Mesing, B.[Benjamin], Vahl, M.[Matthias],
Tracking Technical Objects in Outdoor Environment Based on Cad Models,
ISVC12(I: 437-446).
Springer DOI 1209
BibRef

Shkurti, F.[Florian], Rekleitis, I.M.[Ioannis M.], Dudek, G.[Gregory],
Feature Tracking Evaluation for Pose Estimation in Underwater Environments,
CRV11(160-167).
IEEE DOI 1105
BibRef

Fefilatyev, S.[Sergiy], Goldgof, D.B.[Dmitry B.], Lembke, C.[Chad],
Tracking Ships from Fast Moving Camera through Image Registration,
ICPR10(3500-3503).
IEEE DOI 1008
BibRef

Knauer, U.[Uwe], Meffert, B.[Beate],
Evaluation based combining of classifiers for monitoring honeybees,
WACV09(1-6).
IEEE DOI 0912
BibRef

Maitra, P.[Protik], Schneider, S.[Stan], Shin, M.C.[Min C.],
Robust bee tracking with adaptive appearance template and geometry-constrained resampling,
WACV09(1-6).
IEEE DOI 0912
BibRef

Liu, X.[Xu], Doermann, D.S.[David S.], Li, H.P.[Hui-Ping], Lee, K.C., Ozdemir, H.[Hasan], Liu, L.[Lipin],
A Novel 2D Marker Design and Application for Object Tracking and Event Detection,
ISVC08(I: 248-257).
Springer DOI 0812
BibRef

Wei, X.L.K.[Xiao-Lin K.], Chai, J.X.[Jin-Xiang],
Interactive Tracking of 2D Generic Objects with Spacetime Optimization,
ECCV08(I: 657-670).
Springer DOI 0810
BibRef

Kharbat, M., Aouf, N., Tsourdos, A., White, B.,
Sphere detection and tracking for a space capturing operation,
AVSBS07(182-187).
IEEE DOI 0709
BibRef

Eisert, P.[Peter], Fechteler, P.[Philipp], Rurainsky, J.[Jurgen],
3-D Tracking of shoes for Virtual Mirror applications,
CVPR08(1-6).
IEEE DOI 0806
BibRef
Earlier: A1, A3, A2:
Virtual Mirror: Real-Time Tracking of Shoes in Augmented Reality Environments,
ICIP07(II: 557-560).
IEEE DOI 0709
BibRef

Wuest, H.[Harald], Pagani, A.[Alain], Stricker, D.[Didier],
Feature Management for Efficient Camera Tracking,
ACCV07(I: 769-778).
Springer DOI 0711
BibRef

Wuest, H.[Harald], Wientapper, F.[Folker], Stricker, D.[Didier],
Adaptable Model-Based Tracking Using Analysis-by-Synthesis Techniques,
CAIP07(20-27).
Springer DOI 0708
BibRef

Buchanan, A.[Aeron], Fitzgibbon, A.W.[Andrew W.],
Interactive Feature Tracking using K-D Trees and Dynamic Programming,
CVPR06(I: 626-633).
IEEE DOI 0606
BibRef

Gehrig, N., Lepetit, V., Fua, P.,
Visual Golf Club Tracking for Enhanced Swing Analysis,
BMVC03(xx-yy).
HTML Version. 0409
BibRef

Estivill-Castro, V., Lattin, D., Suraweera, F., Vithanage, V.,
Tracking Bees: A 3D, Outdoor Small Object Environment,
ICIP03(III: 1021-1024).
IEEE DOI 0312
BibRef

Guskov, I.[Igor],
Multiscale Inverse Compositional Alignment for Subdivision Surface Maps,
ECCV04(Vol I: 133-145).
Springer DOI 0405
Alignment for textured surface maps. BibRef

Guskov, I., Bryant, B.,
Real-time tracking of quad-marked surfaces,
Motion02(253-256).
IEEE DOI 0303
BibRef

Guskov, I.,
Efficient tracking of regular patterns on non-rigid geometry,
ICPR02(II: 1057-1060).
IEEE DOI 0211
BibRef

Buenaposada, J.M., Baumela, L.,
Real-time tracking and estimation of plane pose,
ICPR02(II: 697-700).
IEEE DOI 0211
BibRef

Ayromlou, M., Vincze, M.[Markus], Ponweiser, W.[Wolfgang],
Probabilistic matching of image- to model-features for real-time object tracking,
ICPR02(III: 692-695).
IEEE DOI 0211
BibRef

Ayromlou, M.[Minu], Zillich, M.[Michael], Ponweiser, W.[Wolfgang], Vincze, M.[Markus],
Measuring Scene Complexity to Adapt Feature Selection of Model-Based Object Tracking,
CVS03(448 ff).
Springer DOI 0306
BibRef

Goebel, P.M.[Peter Michael], Vincze, M.[Markus],
A Cognitive Modeling Approach for the Semantic Aggregation of Object Prototypes from Geometric Primitives: Toward Understanding Implicit Object Topology,
ACIVS07(84-96).
Springer DOI 0708
BibRef

Vincze, M.[Markus], Zillich, M.[Michael], Ponweiser, W.[Wolfgang],
A Framework for Cognitive Vision Systems or Identifying Obstacles to Integration,
CogVis03(279-293).
Springer DOI 0310
BibRef

Schlemmer, M.J.[Matthias J.], Biegelbauer, G.[Georg], Vincze, M.[Markus],
An Integration Concept for Vision-Based Object Handling: Shape-Capture, Detection and Tracking,
IWICPAS06(215-224).
Springer DOI 0608
BibRef

Vincze, M.[Markus], Ayromlou, M.[Minu], Kubinger, W.[Wilfried],
An Integrating Framework for Robust Real-Time 3D Object Tracking,
CVS99(135 ff.).
Springer DOI 0209
BibRef
And:
Improving the robustness of image-based tracking to control 3D robot motions,
CIAP99(274-279).
IEEE DOI 9909
BibRef
And:
A Modular Vision Guided System for Tracking 3D Objects in Real-Time,
CAIP99(526-533).
Springer DOI 9909
BibRef

Kanbara, M., Yokoya, N., Takemura, H.,
Registration for stereo vision-based augmented reality based on extendible tracking of markers and natural features,
ICPR02(II: 1045-1048).
IEEE DOI 0211
BibRef

Stark, K.[Katrin], Ihle, T.[Torsten],
Visual Tracking of Solid Objects Based on an Active Contour Model,
BMVC97(xx-yy).
HTML Version. 0209
BibRef

Stark, K., Fuchs, S.,
A Method for Tracking the Pose of Known 3-D Objects Based on an Active Contour Model,
ICPR96(I: 905-909).
IEEE DOI 9608
(Technical Univ. of Dresden, D) BibRef

Braud, P., Dhome, M., Lapreste, J.T., and Daucher, N.,
Modelled Object Pose Estimation and Tracking by a Multi-Camera System,
CVPR94(976-979).
IEEE DOI BibRef 9400

Braud, P., Lapreste, J.T., Dhome, M.,
Recognition, Pose and Tracking of Modelled Polyhedral Objects by Multi-Ocular Vision,
ECCV96(II:453-464).
Springer DOI Multiple cameras (3). BibRef 9600

Marzetta, T.L.,
Optimal detection of known moving objects in a noisy image sequence with velocity uncertainty,
ICIP94(I: 353-357).
IEEE DOI 9411
BibRef

Daucher, N.[Nadine], Dhome, M.[Michel], Lapreste, J.T.[Jean-Thierry], Rives, G.,
Modelled Object Pose Estimation and Tracking by Monocular Vision,
BMVC93(249-258).
PDF File. (Blaise Pascal Univ, France) BibRef 9300

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