16.6.2 Region, Object, Target Tracking

Ayala, K., Orton, D.A., Larson, J.B., and Elliott, D.F.,
Moving Target Tracking Using Symbolic Registration,
PAMI(4), No. 5, September 1982, pp. 515-520. Target tracking at symbolic level, segment (region growing), predict global scene motion, match segments, detect object motion, classify. Motion prediction means that the next match is close. The match is generated by creating an NxN matrix of the match values and permuting the rows until the minimum trace (sum of diagonal) is produced. BibRef 8209

Chandrashekhar, S., von der Malsburg, C., and Chellappa, R.,
Recursive Tracking of Image Points Using Labelled Graph Matching,
SMC-C91(xx). BibRef 9100

Rahgozar, M.A., and Allebach, J.P.,
Motion Estimation Based on Time-Sequentially Sampled Imagery,
IP(4), No. 1, January 1995, pp. 48-65.
IEEE DOI Sample the image sequentially (a set pattern) rather than snapshot and use for motion analysis. Does not seem to gain anything. BibRef 9501

Krishnan, S.[Srivatsan], Raviv, D.[Daniel],
2D Feature Tracking Algorithm for Motion Analysis,
PR(28), No. 8, August 1995, pp. 1103-1126.
Elsevier DOI BibRef 9508

Alliney, S., Cortelazzo, G.M., Mian, G.A.,
On the Registration of an Object Translating on a Static Background,
PR(29), No. 1, January 1996, pp. 131-141.
Elsevier DOI BibRef 9601

Tao, X.J., Zou, C.R., He, Z.Y.,
Passive Target Tracking Using Maximum-Likelihood-Estimation,
AeroSys(32), No. 4, October 1996, pp. 1348-1354. 9611
BibRef

Rao, S.K.,
Comments on 'Passive Target Tracking Using Maximum-Likelihood-Estimation',
AeroSys(34), No. 3, July 1998, pp. 980-981. 9808
BibRef

Tang, Y.L., Kasturi, R.,
Accurate Estimation of Object Location in an Image Sequence Using Helicopter Flight Data,
RobCIM(11), No. 2, June 1994, pp. 65-72. Helicopter Data. BibRef 9406

Tang, Y.L., Kasturi, R.,
Tracking Moving-Objects During Low-Altitude Flight,
MVA(9), No. 1, 1996, pp. 20-31.
Springer DOI 9608
BibRef

Kang, S.B., Szeliski, R.S., Shum, H.Y.,
A Parallel Feature Tracker for Extended Image Sequences,
CVIU(67), No. 3, September 1997, pp. 296-310.
DOI Link 9710
BibRef
Earlier: A2, A1, A3: SCV95(241-246).
IEEE DOI BibRef
And: DEC-CRL-95-2, May, 1995.
HTML Version. Digital Equipment Corporation. CMU. BibRef

Szeliski, R.S.[Richard S.], Wilt, N.P.[Nicholas P.],
System and method for statistically comparing and matching plural sets of digital data,
US_Patent6,993,156, Jan 31, 2006
WWW Link. BibRef 0601
And:
Statistically comparing and matching plural sets of digital data,
US_Patent7,302,084, Nov 27, 2007
WWW Link. BibRef

Paragios, N., Tziritas, G.,
Adaptive Detection and localization of Moving Objects in Image Sequences,
SP:IC(14), No. 4, January 1999, pp. 277-296.
Elsevier DOI 0001
BibRef
Earlier:
Detection and Location of Moving Objects Using Deterministic Relaxation Algorithms,
ICPR96(I: 201-205).
IEEE DOI 9608
(Univ. of Crete, GR) BibRef

Paragios, N.[Nikos], Perez, P., Tziritas, G., Labit, C., Bouthemy, P.,
Adaptive Detection of Moving Objects Using Multiscale Techniques,
ICIP96(I: 525-528).
IEEE DOI BibRef 9600

Gu, Y.H., Tjahjadi, T.,
Efficient Planar Object Tracking and Parameter Estimation Using Compactly Represented Cubic B-Spline Curves,
SMC-A(29), No. 4, July 1999, pp. 358.
IEEE Top Reference. BibRef 9907

Gu, Y.H., Gui, V., and Tjahjadi, T.,
Joint Segmentation and B-Spline Object Contour Modelling for Object Tracking and Motion Compensation in Image Sequences,
ICIP97(III: 492-495).
IEEE DOI BibRef 9700

Farina, A.[Alfonso],
Target tracking with Bearings-Only Measurements,
SP(78), No. 1, October 1999, pp. 61-78. BibRef 9910

Fusiello, A.[Andrea], Trucco, E.[Emanuele], Tommasini, T.[Tiziano], Roberto, V.[Vito],
Improving Feature Tracking with Robust Statistics,
PAA(2), No. 4, 1999, pp. 312-320. 9911
BibRef

Tommasini, T.[Tiziano], Fusiello, A.[Andrea], Trucco, E.[Emanuele], Roberto, V.[Vito],
Making Good Features to Track Better,
CVPR98(178-183).
IEEE DOI BibRef 9800

Chien, S.I.[Sung-Il], Sung, S.H.[Si-Hun],
Adaptive window method with sizing vectors for reliable correlation-based target tracking,
PR(33), No. 2, February 2000, pp. 237-249.
Elsevier DOI 0001
BibRef

Tonko, M.[Martin], Nagel, H.H.[Hans-Hellmut],
Model-Based Stereo-Tracking of Non-Polyhedral Objects for Automatic Disassembly Experiments,
IJCV(37), No. 1, June 2000, pp. 99-118.
DOI Link 0005
Tracking with a model. BibRef

Kumazawa, I.[Itsuo],
Target tracking by matching a shape represented by a tree of sigmoid functions,
PRL(21), No. 6-7, June 2000, pp. 661-675. 0006

See also Compact and parametric shape representation by a tree of sigmoid functions for automatic shape modeling. BibRef

Matsuzawa, Y., Kumazawa, I.,
Object Tracking with Shape Representation Network Using Color Information,
ICIP00(Vol III: 94-97).
IEEE DOI 0008
BibRef

Mansouri, A.R.[Abdol-Reza],
Region Tracking via Level Set PDEs without Motion Computation,
PAMI(24), No. 7, July 2002, pp. 947-961.
IEEE Abstract. 0207

See also Comparative Evaluation of Algorithms for Fast Computation of Level Set PDEs with Applications to Motion Segmentation, A. BibRef

Mansouri, A.R., Mitiche, A.,
Region tracking via local statistics and level set PDEs,
ICIP02(III: 605-608).
IEEE DOI 0210
BibRef
And:
Spatial/Joint Space-Time Motion Segmentation of Image Sequences by Level Set Pursuit,
ICIP02(II: 265-268).
IEEE DOI 0210
BibRef

Mansouri, A.R., Mitiche, A., Aron, M.,
PDE-Based Region Tracking without Motion Computation by Joint Space-Time Segmentation,
ICIP03(III: 113-116).
IEEE DOI 0312
BibRef

Mansouri, A.R., Olivier, A., Konrad, J.,
Topology-independent Region Tracking with Level Sets,
ICIP00(Vol III: 66-69).
IEEE DOI 0008
BibRef

Nascimento, J.C.[Jacinto C.], Abrantes, A.J.[Arnaldo J.], Marques, J.S.[Jorge S.],
Using middle level features for robust shape tracking,
PRL(24), No. 1-3, January 2003, pp. 295-307.
Elsevier DOI 0211
BibRef

Abrantes, A.J.[Arnaldo J.], Marques, J.S.[Jorge S.], Lemos, J.M.[Joao M.],
Long term tracking using bayesian networks,
ICIP02(III: 609-612).
IEEE DOI 0210
BibRef
Earlier: A2, A3, A1:
Estimation of Random Trajectories on Manifolds: Application to Object Tracking,
ICIP99(IV:103-107).
IEEE DOI BibRef

Cooley, J.W., Toolan, T.M., Tufts, D.W.,
A subspace tracking algorithm using the fast Fourier transform,
SPLetters(11), No. 1, January 2004, pp. 30-32.
IEEE Abstract. 0402
BibRef

Gao, Q.G.[Qi-Gang], Zhang, Y.[Yun], Parslow, A.[Alan],
The influence of perceptual grouping on motion detection,
CVIU(100), No. 3, December 2005, pp. 442-457.
Elsevier DOI 0512
BibRef

Gao, Q.G.[Qi-Gang], Parslow, A., Tan, M.,
Perceptual Motion Tracking from Image Sequences,
ICIP01(I: 389-392).
IEEE DOI 0108
BibRef

Lu, C.G.[Cheng-Gang], Chi, Z.[Zheru], Chen, G.[Gang], Feng, D.D.[David Dagan],
Geometric Analysis of Particle Motion in a Vector Image Field,
JMIV(26), No. 3, December 2006, pp. 301-307.
Springer DOI 0701
BibRef

Ma, B.[Bo], Chi, Z.R.[Zhe-Ru], Zhang, T.W.[Tian-Wen],
Motion detection and tracking based on level set algorithm,
ICARCV04(I: 659-664).
IEEE DOI 0412
BibRef

Tang, F.[Feng], Tao, H.[Hai],
Probabilistic Object Tracking With Dynamic Attributed Relational Feature Graph,
CirSysVideo(18), No. 8, August 2008, pp. 1064-1074.
IEEE DOI 0809
BibRef
Earlier:
Non-orthogonal Binary Expansion of Gabor Filters with Applications in Object Tracking,
Motion07(24-24).
IEEE DOI 0702
BibRef
Earlier:
Object tracking with dynamic feature graph,
PETS05(25-32).
IEEE DOI 0602
BibRef

Chen, D.T.[Da-Tong], Yang, J.[Jie],
Robust Object Tracking Via Online Dynamic Spatial Bias Appearance Models,
PAMI(29), No. 12, December 2007, pp. 2157-2169.
IEEE DOI 0711
BibRef
Earlier:
Online learning of region confidences for object tracking,
PETS05(1-8).
IEEE DOI 0602
BibRef

Yang, J.[Jie],
Surveillance video object tracking with differential SSIM,
CGC10(13).
PDF File. 1006
BibRef

Zhou, T.[Tao], He, X.J.[Xiang-Jian], Xie, K.[Kai], Fu, K.[Keren], Zhang, J.H.[Jun-Hao], Yang, J.[Jie],
Robust visual tracking via efficient manifold ranking with low-dimensional compressive features,
PR(48), No. 8, 2015, pp. 2459-2473.
Elsevier DOI 1505
Visual tracking BibRef

Zhou, T.[Tao], Liu, F.H.[Fang-Hui], Bhaskar, H.[Harish], Yang, J.[Jie],
Robust Visual Tracking via Online Discriminative and Low-Rank Dictionary Learning,
Cyber(48), No. 9, September 2018, pp. 2643-2655.
IEEE DOI 1809
image classification, image representation, learning (artificial intelligence), matrix algebra, visual tracking BibRef

Zhou, T., Liu, F., Bhaskar, H., Yang, J., Chen, L., Cai, P.,
Visual tracking via structural patch-based dictionary pair learning,
ICIP17(1137-1141)
IEEE DOI 1803
Dictionaries, Encoding, Linear programming, Optimization, Target tracking, Visualization, Dictionary learning, Visual tracking BibRef

Xu, C.[Chao], Tao, W.Y.[Wen-Yuan], Meng, Z.P.[Zhao-Peng], Feng, Z.Y.[Zhi-Yong],
Robust visual tracking via online multiple instance learning with Fisher information,
PR(48), No. 12, 2015, pp. 3917-3926.
Elsevier DOI 1509
Tracking by detection BibRef

Boltz, S.[Sylvain], Debreuve, E.[Eric], Barlaud, M.[Michel],
High-Dimensional Statistical Measure for Region-of-Interest Tracking,
IP(18), No. 6, June 2009, pp. 1266-1283.
IEEE DOI 0905
BibRef
Earlier:
High-dimensional statistical distance for region-of-interest tracking: Application to combining a soft geometric constraint with radiometry,
CVPR07(1-8).
IEEE DOI 0706

See also Joint Appearance and Deformable Shape for Nonparametric Segmentation. BibRef

Käs, C.[Christian], Nicolas, H.[Henri],
Compressed domain indexing of scalable H.264/SVC streams,
SP:IC(24), No. 6, July 2009, pp. 484-498.
Elsevier DOI 0906
BibRef
Earlier:
An Approach to Trajectory Estimation of Moving Objects in the H.264 Compressed Domain,
PSIVT09(318-329).
Springer DOI 0901
H.264/SVC; Trajectory estimation; Object distance estimation; Copy detection BibRef

Kas, C.[Christian], Nicolas, H.[Henri],
Rough compressed domain camera pose estimation through object motion,
ICIP09(3481-3484).
IEEE DOI 0911
BibRef

Zhong, Z., Meng, H., Wang, X.,
A Comparison of Posterior Cramer-Rao Bounds for Point and Extended Target Tracking,
SPLetters(17), No. 10, October 2010, pp. 819-822.
IEEE DOI 1008
BibRef

Panda, C.S.[Chandra Sekhar], Mallick, P.K.[Pradeep Kumar], Patnaik, S.[Srikanta],
Object tracking using parallel local colour histogram method,
IJCVR(1), No. 4, 2010, pp. 363-379.
DOI Link 1102
BibRef

Wang, P., Qiao, H.,
Online Appearance Model Learning and Generation for Adaptive Visual Tracking,
CirSysVideo(21), No. 2, February 2011, pp. 156-169.
IEEE DOI 1103
BibRef

Nguyen, T.B.[Thanh Binh], Khare, A.[Ashish],
Object Tracking of Video Sequences in Curvelet Domain,
IJIG(11), No. 1, January 2011, pp. 1-20.
DOI Link 1103
BibRef

Nigam, S., Khare, A.[Ashish],
Curvelet transform-based technique for tracking of moving objects,
IET-CV(6), No. 3, 2012, pp. 231-251.
DOI Link 1205
BibRef

Johnson, D.O.[David O.], Agah, A.[Arvin],
A Novel Efficient Algorithm for Locating and Tracking Object Parts in Low Resolution Videos,
IJIS(20), No. 1, 2011.
DOI Link 1103
Pre publication info, check exact issue, page reference. BibRef

Saravanakumar, S., Vadivel, A.,
Integrated region matching approach for tracking target objects in video sequences using HSV colour space,
IJCVR(2), No. 1, 2011, pp. 62-79.
DOI Link 1104
BibRef

Yang, F.[Fan], Lu, H.C.[Hu-Chuan], Zhang, W.L.[Wen-Ling], Yang, G.,
Visual tracking via bag of features,
IET-IPR(6), No. 2, 2012, pp. 115-128.
DOI Link 1204
Award, IET IPR Premium. BibRef

Yang, F.[Fan], Lu, H.C.[Hu-Chuan], Chen, Y.W.[Yen-Wei],
Bag of Features Tracking,
ICPR10(153-156).
IEEE DOI 1008
BibRef

Lu, H.C.[Hu-Chuan], Zhang, W.L.[Wen-Ling], Chen, Y.W.[Yen-Wei],
On Feature Combination and Multiple Kernel Learning for Object Tracking,
ACCV10(III: 511-522).
Springer DOI 1011
BibRef

Wang, D.[Dong], Lu, H.C.[Hu-Chuan],
Object Tracking via 2DPCA and L_1 -Regularization,
SPLetters(19), No. 11, November 2012, pp. 711-714.
IEEE DOI 1210

See also Fast and Robust Object Tracking via Probability Continuous Outlier Model. BibRef

Wang, D.[Dong], Lu, H.C.[Hu-Chuan], Bo, C.J.[Chun-Juan],
Visual Tracking via Weighted Local Cosine Similarity,
Cyber(45), No. 9, September 2015, pp. 1838-1850.
IEEE DOI 1509
image sequences BibRef

Wang, D.[Dong], Lu, H.C.[Hu-Chuan], Bo, C.,
Online Visual Tracking via Two View Sparse Representation,
SPLetters(21), No. 9, Sept 2014, pp. 1031-1034.
IEEE DOI 1406
BibRef

Wang, D.[Dong], Yang, G.[Gang], Lu, H.C.[Hu-Chuan],
Tri-Tracking: Combining Three Independent Views for Robust Visual Tracking,
IJIG(12), No. 3, July 2012, pp. 1250021.
DOI Link 1210
BibRef

Wang, D.[Dong], Lu, H.C.[Hu-Chuan], Chen, Y.W.[Yen-Wei],
Incremental MPCA for Color Object Tracking,
ICPR10(1751-1754).
IEEE DOI 1008
BibRef
And:
Object tracking by multi-cues spatial pyramid matching,
ICIP10(3957-3960).
IEEE DOI 1009
BibRef

Choi, H.C.[Hyun-Chul], Oh, S.Y.[Se-Young],
Robust segment-based object tracking using generalized hyperplane approximation,
PR(45), No. 8, August 2012, pp. 2980-2991.
Elsevier DOI 1204
Object tracking; Generalized hyperplane approximation; Histogram of oriented gradient; Partial occlusion; Illumination invariance BibRef

Choi, H.C.[Hyun-Chul],
Non-Linear Extension of Generalized Hyperplane Approximation,
IEICE(E99-D), No. 6, June 2016, pp. 1707-1710.
WWW Link. 1606
For solving motion estimation. BibRef

Wang, Q.[Qia], Zeng, W.J.[Wen-Jun], Lobzhanidze, A.G.[Aleksandre G.],
Mobile Media in Action: Remote Target Localization and Tracking,
MultMedMag(19), No. 3, 2012, pp. 74-80.
IEEE DOI 1209
BibRef

Lu, H., Lu, S., Wang, D., Wang, S., Leung, H.,
Pixel-Wise Spatial Pyramid-Based Hybrid Tracking,
CirSysVideo(22), No. 9, September 2012, pp. 1365-1376.
IEEE DOI 1209
BibRef

Li, J.Y.[Jing-Yu], Wang, Y.L.[Yu-Lei], Wang, Y.J.[Yan-Jie],
Visual tracking and learning using speeded up robust features,
PRL(33), No. 16, 1 December 2012, pp. 2094-2101.
Elsevier DOI 1210
Visual tracking; SURF; Optical flow; Subspace learning BibRef

Giannarou, S.[Stamatia], Visentini-Scarzanella, M.[Marco], Yang, G.Z.[Guang-Zhong],
Probabilistic Tracking of Affine-Invariant Anisotropic Regions,
PAMI(35), No. 1, January 2013, pp. 130-143.
IEEE DOI 1212
BibRef

Takacs, G.[Gabriel], Chandrasekhar, V.[Vijay], Tsai, S.S.[Sam S.], Chen, D.M.[David M.], Grzeszczuk, R.[Radek], Girod, B.[Bernd],
Rotation-invariant fast features for large-scale recognition and real-time tracking,
SP:IC(28), No. 4, April 2013, pp. 334-344.
Elsevier DOI 1304
BibRef
Earlier:
Unified Real-Time Tracking and Recognition with Rotation-Invariant Fast Features,
CVPR10(934-941).
IEEE DOI 1006
Feature descriptors; Keypoints; Tracking; Visual search BibRef

Takacs, G.[Gabriel], Chandrasekhar, V.[Vijay], Tsai, S.S.[Sam S.], Chen, D.M.[David M.], Grzeszczuk, R.[Radek], Girod, B.[Bernd],
Fast Computation of Rotation-Invariant Image Features by an Approximate Radial Gradient Transform,
IP(22), No. 8, 2013, pp. 2970-2982.
IEEE DOI 1307
image retrieval; SURF BibRef

Chandrasekhar, V.[Vijay], Reznik, Y.[Yuriy], Takacs, G.[Gabriel], Chen, D.M.[David M.], Tsai, S.S.[Sam S.], Grzeszczuk, R.[Radek], Girod, B.[Bernd],
Compressing Feature Sets with Digital Search Trees,
IWMV11(32-39).
IEEE DOI 1201
BibRef

Zhu, Q.P.[Qiu-Ping], Yan, J.[Jia], Deng, D.X.[De-Xiang],
Compressive tracking via oversaturated sub-region classifiers,
IET-CV(7), No. 6, December 2013, pp. 448-455.
DOI Link 1402
compressed sensing BibRef

Yan, J.[Jia], Chen, X.[Xi], Deng, D.X.[De-Xiang], Zhu, Q.P.[Qiu-Ping],
Visual object tracking via online sparse instance learning,
JVCIR(26), No. 1, 2015, pp. 231-246.
Elsevier DOI 1502
Visual tracking BibRef

Chi, Z.Z.[Zhi-Zhen], Li, H.Y.[Hong-Yang], Lu, H.C.[Hu-Chuan], Yang, M.H.[Ming-Hsuan],
Dual Deep Network for Visual Tracking,
IP(26), No. 4, April 2017, pp. 2005-2015.
IEEE DOI 1704
Algorithm design and analysis BibRef

Wang, S.[Shu], Lu, H.C.[Hu-Chuan], Yang, F.[Fan], Yang, M.H.[Ming-Hsuan],
Superpixel tracking,
ICCV11(1323-1330).
IEEE DOI 1201
large changes in scale, motion, shape, occlusion. BibRef

Zhou, Q.H.[Qiu-Hong], Lu, H.C.[Hu-Chuan], Yang, M.H.[Ming-Hsuan],
Online multiple support instance tracking,
FG11(545-552).
IEEE DOI 1103
BibRef

Lu, H.C.[Hu-Chuan], Zhou, Q.H.[Qiu-Hong], Wang, D.[Dong], Xiang, R.[Ruan],
A co-training framework for visual tracking with multiple instance learning,
FG11(539-544).
IEEE DOI 1103
BibRef

Li, A.[Annan], Yan, S.C.[Shui-Cheng],
Object Tracking With Only Background Cues,
CirSysVideo(24), No. 11, November 2014, pp. 1911-1919.
IEEE DOI 1411
image classification BibRef

Gai, S.[Shan], Luo, L.M.[Li-Min],
Visual objects tracking and identification based on reduced quaternion wavelet transform,
SIViP(8), No. S1, December 2014, pp. 75-84.
WWW Link. 1411
BibRef

Sun, X.[Xu], Zhang, J.[Jun], Xie, Z.[Zhao], Gao, J.[Jun], Wang, L.M.[Ling-Mei], Heidingsfelder, P.[Philipp],
Active-matting-based object tracking with color cues,
SIViP(8), No. S1, December 2014, pp. 85-94.
Springer DOI 1411
BibRef

Tian, X.L.[Xiao-Lin], Jiao, L.C.[Li-Cheng], Zhao, F.[Fandi], Zhang, X.H.[Xiao-Hua],
Tracking with spatial constrained coding,
IET-CV(9), No. 1, 2015, pp. 63-74.
DOI Link 1504
object tracking BibRef

Tian, X.L.[Xiao-Lin], Jiao, L.C.[Li-Cheng], Gan, Z., Wang, C., Zhang, X.H.[Xiao-Hua],
Consistency-Constrained Nonnegative Coding for Tracking,
CirSysVideo(27), No. 4, April 2017, pp. 880-891.
IEEE DOI 1704
Computer numerical control BibRef

Uke, N.J.[Nilesh J.], Thool, R.C.[Ravindra C.],
Objects tracking in video: A object-oriented approach using Unified Modeling Language,
IJCVR(5), No. 2, 2015, pp. 202-216.
DOI Link 1505
BibRef

Wang, J.[Jun], Wang, H.Z.[Han-Zi], Zhao, W.L.[Wan-Lei],
Affine hull based target representation for visual tracking,
JVCIR(30), No. 1, 2015, pp. 266-276.
Elsevier DOI 1507
Visual tracking BibRef

Yin, Y.J.[Ying-Jie], Xu, D.[De], Wang, X.G.[Xin-Gang], Bai, M.R.[Ming-Ran],
Online State-Based Structured SVM Combined With Incremental PCA for Robust Visual Tracking,
Cyber(45), No. 9, September 2015, pp. 1988-2000.
IEEE DOI 1509
computer vision BibRef

Sidram, M.H., Bhajantri, N.U.[Nagappa U.],
An Exploration with Novel Shape Signature of GMSC Distance Function to Track the Object,
IJIG(15), No. 04, 2015, pp. 1550014.
DOI Link 1509
BibRef

Xie, Z.[Zhao], Chen, J.[Jing], Yao, T.T.[Ting-Ting], Sun, Y.X.[Yong-Xuan],
Geometric structure-constraint tracking with confident parts,
SP:IC(36), No. 1, 2015, pp. 43-52.
Elsevier DOI 1509
Visual tracking BibRef

Huang, D.D.[Dan-Dan], Sun, Y.[Yi],
Object tracking using discriminative sparse appearance model,
SP:IC(37), No. 1, 2015, pp. 1-18.
Elsevier DOI 1509
Visual tracking BibRef

Koohzadi, M.[Maryam], Keyvanpour, M.[Mohammad_Reza],
OTWC: an efficient object-tracking method,
SIViP(9), No. 6, September 2015, pp. 1235-1247.
WWW Link. 1509
BibRef

Quan, W.[Wei], Jiang, Y.Q.[Yong-Quan], Zhang, J.J.[Jian-Jun], Chen, J.X.[Jim X.],
Robust object tracking with active context learning,
VC(31), No. 10, October 2015, pp. 1307-1318.
WWW Link. 1509
BibRef

Li, Z.Y.[Zhi-Yong], He, S.[Shuang], Hashem, M.[Mervat],
Robust object tracking via multi-feature adaptive fusion based on stability: contrast analysis,
VC(31), No. 10, October 2015, pp. 1319-1337.
WWW Link. 1509
BibRef

Li, Z.Y.[Zhi-Yong], Gao, S.[Song], Nai, K.[Ke],
Robust object tracking based on adaptive templates matching via the fusion of multiple features,
JVCIR(44), No. 1, 2017, pp. 1-20.
Elsevier DOI 1703
Visual tracking BibRef

Li, Z.Y.[Zhi-Yong], Yu, X.P.[Xiao-Ping], Li, P.F.[Peng-Fei], Hashem, M.[Mervat],
Moving object tracking based on multi-independent features distribution fields with comprehensive spatial feature similarity,
VC(31), No. 12, December 2015, pp. 1633-1651.
WWW Link. 1512
BibRef

Xiao, J.J.[Jing-Jing], Oussalah, M.,
Collaborative Tracking for Multiple Objects in the Presence of Inter-Occlusions,
CirSysVideo(26), No. 2, February 2016, pp. 304-318.
IEEE DOI 1602
BibRef
And:
Robust model adaptation for tracking with online weighted color and shape feature,
IPTA14(1-6)
IEEE DOI 1503
Adaptation models. feature extraction BibRef

Oussalah, M., Shabash, M.,
Object tracking using level set and MPEG 7 color features,
IPTA12(105-110)
IEEE DOI 1503
image colour analysis BibRef

Fatemeh Razavi, S., Sajedi, H., Ebrahim Shiri, M.,
Integration of colour and uniform interlaced derivative patterns for object tracking,
IET-IPR(10), No. 5, 2016, pp. 381-390.
DOI Link 1604
image colour analysis BibRef

Liu, W., Chan, A.B., Lau, R.W.H., Manocha, D.,
Leveraging Long-Term Predictions and Online Learning in Agent-Based Multiple Person Tracking,
CirSysVideo(25), No. 3, March 2015, pp. 399-410.
IEEE DOI 1503
Adaptation models BibRef

He, S.F.[Sheng-Feng], Yang, Q.X.[Qing-Xiong], Lau, R.W.H.[Rynson W.H.], Yang, M.H.[Ming-Hsuan],
Fast Weighted Histograms for Bilateral Filtering and Nearest Neighbor Searching,
CirSysVideo(26), No. 5, May 2016, pp. 891-902.
IEEE DOI 1605
Computational complexity. locality sensitive histogram (LSH). Spatial information in histogram for tracking. BibRef

He, S.F.[Sheng-Feng], Lau, R.W.H.[Rynson W.H.], Yang, Q.X.[Qing-Xiong], Wang, J.[Jiang], Yang, M.H.[Ming-Hsuan],
Robust Object Tracking via Locality Sensitive Histograms,
CirSysVideo(27), No. 5, May 2017, pp. 1006-1017.
IEEE DOI 1705
BibRef
Earlier: A1, A3, A2, A4, A5:
Visual Tracking via Locality Sensitive Histograms,
CVPR13(2427-2434)
IEEE DOI 1309
Color, Histograms, Lighting, Robustness, Target tracking, Visualization, Illumination invariant, locality sensitive histograms (LSHs), multiregion tracking, visual tracking. BibRef

Xu, Y.L.[Yu-Long], Li, Y.[Yang], Wang, J.B.[Jia-Bao], Miao, Z.A.[Zhu-Ang], Li, H.[Hang], Zhang, Y.F.[Ya-Fei],
Feature Adaptive Correlation Tracking,
IEICE(E100-D), No. 3, March 2017, pp. 594-597.
WWW Link. 1703
BibRef

He, Z., Yi, S., Cheung, Y.M., You, X., Tang, Y.Y.,
Robust Object Tracking via Key Patch Sparse Representation,
Cyber(47), No. 2, February 2017, pp. 354-364.
IEEE DOI 1702
computer vision BibRef

Guo, J., Xu, T., Shen, Z., Shi, G.,
Visual Tracking Via Sparse Representation With Reliable Structure Constraint,
SPLetters(24), No. 2, February 2017, pp. 146-150.
IEEE DOI 1702
image representation BibRef

Guo, J., Xu, T., Jiang, S., Shen, Z.,
Generating Reliable Online Adaptive Templates for Visual Tracking,
ICIP18(226-230)
IEEE DOI 1809
Visual tracking, online adaption, Siamese network, template matching, deep learning BibRef

Wang, Y.W.[Ya-Wen], Chen, H.C.[Hong-Chang], Li, S.M.[Shao-Mei], Zhang, J.P.[Jian-Peng], Gao, C.[Chao],
Object tracking by color distribution fields with adaptive hierarchical structure,
VC(33), No. 2, February 2017, pp. 235-247.
WWW Link. 1702
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Ye, S.[Shuang], Liu, C.C.[Chuan-Cai], Li, Z.W.[Zhi-Wu], Al-Ahmari, A.[Abdulrahman],
Iterative optimization for frame-by-frame object pose tracking,
JVCIR(44), No. 1, 2017, pp. 72-81.
Elsevier DOI 1703
Object detection BibRef

Yi, S.[Sihua], Liu, W.Y.[Wen-Yu],
Multiscale salient region-based visual tracking,
MVA(28), No. 3-4, May 2017, pp. 327-339.
WWW Link. 1704
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Hanif, M.S.[Muhammad Shehzad], Ahmad, S.[Shafiq], Khurshid, K.[Khurram],
On the improvement of foreground-background model-based object tracker,
IET-CV(11), No. 6, September 2017, pp. 488-496.
DOI Link 1709
BibRef

Shen, W.C.[Wei-Chao], Wu, Y.W.[Yu-Wei], Jia, Y.D.[Yun-De],
Compact discriminative object representation via weakly supervised learning for real-time visual tracking,
IET-CV(11), No. 7, October 2017, pp. 585-595.
DOI Link 1709
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Qu, L.[Lei], Zhao, G.Q.A.[Guo-Qi-Ang], Yao, B.C.[Bao-Chen], Li, Y.Z.[Yu-Zhen],
Visual tracking with genetic algorithm augmented logistic regression,
SIViP(12), No. 1, January 2018, pp. 33-40.
WWW Link. 1801
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Yu, X.G.[Xian-Guo], Yu, Q.F.[Qi-Feng],
Online structural learning with dense samples and a weighting kernel,
PRL(105), 2018, pp. 59-66.
Elsevier DOI 1804
Tracking by detection. Visual tracking, Structural learning, Dense sampling, Weighting kernel BibRef

Yang, J.[Jing], Zhang, K.H.[Kai-Hua], Liu, Q.S.[Qing-Shan],
Robust Object Tracking by Online Fisher Discrimination Boosting Feature Selection,
CVIU(153), No. 1, 2016, pp. 100-108.
Elsevier DOI 1612
Visual tracking BibRef

Zhang, K.H.[Kai-Hua], Zhang, L.[Lei], Liu, Q.S.[Qing-Shan], Zhang, D.[David], Yang, M.H.[Ming-Hsuan],
Fast Visual Tracking via Dense Spatio-temporal Context Learning,
ECCV14(V: 127-141).
Springer DOI 1408

See also Fast Compressive Tracking. BibRef

Chen, F., Ren, W.,
A Connection Between Dynamic Region-Following Formation Control and Distributed Average Tracking,
Cyber(48), No. 6, June 2018, pp. 1760-1772.
IEEE DOI 1805
Adaptive control, Algorithm design and analysis, Heuristic algorithms, Multi-agent systems, Robot sensing systems, robustness BibRef

Wang, H.[Howard], Nguang, S.K.[Sing Kiong], Wen, J.[Jiwei],
Robust video tracking algorithm: a multi-feature fusion approach,
IET-CV(12), No. 5, August 2018, pp. 640-650.
DOI Link 1807
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Lv, L.[Li], Chen, Z.[Zhe], Zhang, Z.[Zhen], Fan, T.[Tanghuai], Xu, L.Z.[Li-Zhong],
Object tracking based on support vector dictionary learning,
SIViP(12), No. 6, September 2018, pp. 1189-1196.
WWW Link. 1808
BibRef

Li, Z.T.[Zhe-Tao], Zhang, J.[Jie], Zhang, K.H.[Kai-Hua], Li, Z.Y.[Zhi-Yong],
Visual Tracking With Weighted Adaptive Local Sparse Appearance Model via Spatio-Temporal Context Learning,
IP(27), No. 9, September 2018, pp. 4478-4489.
IEEE DOI 1807
feature extraction, image reconstruction, image representation, learning (artificial intelligence), object tracking, template update BibRef

Nai, K.[Ke], Li, Z.Y.[Zhi-Yong], Li, G.J.[Gui-Ji], Wang, S.Q.[Shan-Quan],
Robust Object Tracking via Local Sparse Appearance Model,
IP(27), No. 10, October 2018, pp. 4958-4970.
IEEE DOI 1808
image representation, image sequences, object tracking, regression analysis, robust object tracking, weight shrinkage method BibRef

Li, G.J.[Gui-Ji], Peng, M.M.[Man-Man], Nai, K.[Ke], Li, Z.Y.[Zhi-Yong], Li, K.Q.[Ke-Qin],
Visual tracking via context-aware local sparse appearance model,
JVCIR(56), 2018, pp. 92-105.
Elsevier DOI 1811
Visual tracking, Local sparse representation, Spatial-temporal context, Dictionary update BibRef

Zhong, L.S.[Lei-Sheng], Zhang, L.[Li],
A Robust Monocular 3D Object Tracking Method Combining Statistical and Photometric Constraints,
IJCV(127), No. 8, August 2019, pp. 973-992.
Springer DOI 1907
Tracking the 6-dof pose of an object from monocular video sequences. BibRef

Fan, B., Cong, Y., Tang, Y.,
Dual-Graph Regularized Discriminative Multitask Tracker,
MultMed(20), No. 9, September 2018, pp. 2303-2315.
IEEE DOI 1809
graph theory, image representation, image sequences, learning (artificial intelligence), object tracking, collaborate metric BibRef

Zhu, S.[Suguo], Fang, Z.Y.[Zhen-Ying], Gao, F.[Fei],
Hierarchical convolutional features for end-to-end representation-based visual tracking,
RealTimeIP(14), No. 1, January 2018, pp. 955-963.
WWW Link. 1809
BibRef

Gao, L.[Long], Li, Y.S.[Yun-Song], Ning, J.F.[Ji-Feng],
Maximum margin object tracking with weighted circulant feature maps,
IET-CV(13), No. 1, February 2019, pp. 71-78.
DOI Link 1902
BibRef

Zeng, X.Y.[Xian-You], Xu, L.[Long], Cen, Y.G.[Yi-Gang], Zhao, R.Z.[Rui-Zhen], Feng, W.L.[Wan-Li],
Dual-scale weighted structural local sparse appearance model for object tracking,
IET-CV(13), No. 2, March 2019, pp. 146-156.
DOI Link 1902
BibRef

Zhang, S.F.[Suo-Fei], Kang, B.[Bin], Zhou, L.[Lin],
Object Tracking by Unified Semantic Knowledge and Instance Features,
IEICE(E102-D), No. 3, March 2019, pp. 680-683.
WWW Link. 1904
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Mbelwa, J.T.[Jimmy T.], Zhao, Q.J.[Qing-Jie], Lu, Y.[Yao], Liu, H.[Hao], Wang, F.S.[Fa-Sheng], Mbise, M.[Mercy],
Objectness-based smoothing stochastic sampling and coherence approximate nearest neighbor for visual tracking,
VC(35), No. 3, March 2019, pp. 371-384.
Springer DOI 1906
BibRef

Bao, H.[Hua], Lu, Y.X.[Yi-Xiang], Dai, H.D.[Hou-De], Lin, M.Q.A.[Ming-Qi-Ang],
Collaborative tracking based on contextual information and local patches,
MVA(30), No. 4, June 2019, pp. 587-601.
Springer DOI 1906
BibRef

Yao, R., Lin, G., Shen, C., Zhang, Y., Shi, Q.,
Semantics-Aware Visual Object Tracking,
CirSysVideo(29), No. 6, June 2019, pp. 1687-1700.
IEEE DOI 1906
Semantics, Proposals, Target tracking, Object tracking, Adaptation models, Visualization, Search problems, scale adaptation BibRef

Jiang, C.C.[Cheng-Cheng], Zhu, X.Y.[Xin-Yu], Li, C.[Chao], Chen, G.S.[Geng-Sheng],
A Robust Tracking with Low-Dimensional Target-Specific Feature Extraction,
IEICE(E102-D), No. 7, July 2019, pp. 1349-1361.
WWW Link. 1907
BibRef

Li, J.L.[Jun-Liang], He, S.F.[Sheng-Feng], Wong, H.C.[Hon-Cheng], Lo, S.L.[Sio-Long],
Proposal-Driven Segmentation for Videos,
SPLetters(26), No. 8, August 2019, pp. 1098-1102.
IEEE DOI 1908
convolutional neural nets, image segmentation, object tracking, video signal processing, video frames, proposal pairs, convolutional neural network (CNN) BibRef

Conze, P.H.[Pierre-Henri], Tilquin, F.[Florian], Lamard, M.[Mathieu], Heitz, F.[Fabrice], Quellec, G.[Gwenolé],
Unsupervised learning-based long-term superpixel tracking,
IVC(89), 2019, pp. 289-301.
Elsevier DOI 1909
Superpixel matching, Unsupervised learning, Superpixel tracking, Multi-step integration, Random forests, Forward-backward consistency BibRef

Li, C.L.[Cheng-Long], Lin, L.[Liang], Zuo, W.M.[Wang-Meng], Tang, J.[Jin], Yang, M.H.[Ming-Hsuan],
Visual Tracking via Dynamic Graph Learning,
PAMI(41), No. 11, November 2019, pp. 2770-2782.
IEEE DOI 1910
Visualization, Clutter, Target tracking, Feature extraction, Robustness, Data models, Image edge detection, Visual tracking, ADMM optimization BibRef

Han, Y.M.[Ya-Min], Zhang, P.[Peng], Huang, W.[Wei], Zha, Y.F.[Yu-Fei], Cooper, G.D.[Garth Douglas], Zhang, Y.N.[Yan-Ning],
Robust Visual Tracking based on Adversarial Unlabeled Instance Generation with Label Smoothing Loss Regularization,
PR(97), 2020, pp. 107027.
Elsevier DOI 1910
Visual tracking, Sample-level generative adversarial network, Feature-level generative adversarial network, Re-detection correlation filter BibRef

Xiong, F., Zhou, J., Qian, Y.,
Material Based Object Tracking in Hyperspectral Videos,
IP(29), 2020, pp. 3719-3733.
IEEE DOI 2002
Object tracking, hyperspectral imaging, material unmixing BibRef

Zhang, H.[Huanlong], Chen, J.[Jian], Nie, G.H.[Guo-Hao], Hu, S.Q.[Shi-Qiang],
Uncertain motion tracking based on convolutional net with semantics estimation and region proposals,
PR(102), 2020, pp. 107232.
Elsevier DOI 2003
Correlation filter, Semantics estimation, Visual tracking, Region proposals, Contextual information BibRef

Walia, G.S., Ahuja, H., Kumar, A., Bansal, N., Sharma, K.,
Unified Graph-Based Multicue Feature Fusion for Robust Visual Tracking,
Cyber(50), No. 6, June 2020, pp. 2357-2368.
IEEE DOI 2005
Target tracking, Adaptation models, Feature extraction, Visualization, Reliability, Object tracking, Encoding, visual tracking BibRef

Fang, J.J.[Jiao-Jiao], Liu, G.Z.[Gui-Zhong],
Visual Object Tracking Based on Mutual Learning Between Cohort Multiscale Feature-Fusion Networks With Weighted Loss,
CirSysVideo(31), No. 3, March 2021, pp. 1055-1065.
IEEE DOI 2103
Target tracking, Object tracking, Training, Visualization, Feature extraction, Correlation, Task analysis, deep mutual learning BibRef

Javanmardi, M.[Mohammadreza], Qi, X.J.[Xiao-Jun],
Visual tracking of resident space objects via an RFS-based multi-Bernoulli track-before-detect method,
MVA(29), No. 7, October 2018, pp. 1191-1208.
Springer DOI
PDF File. 1810
Objects in space. References TAOS dataset. BibRef

Javanmardi, M.[Mohammadreza], Qi, X.J.[Xiao-Jun],
Structured group local sparse tracker,
IET-IPR(13), No. 8, 20 June 2019, pp. 1391-1399.
DOI Link 1906
Sparse representations for tracking. BibRef

Zhang, M.K.[Ming-Ke], Xu, L.[Long], Xiong, J.[Jing], Zhang, X.D.[Xuan-De],
Correlation filter via random-projection based CNNs features combination for visual tracking,
JVCIR(77), 2021, pp. 103082.
Elsevier DOI 2106
Object tracking, Correlation filter, Deep features, Random-projection BibRef

Wu, Y.[Yong], Liu, Z.[Zhi], Zhou, X.F.[Xiao-Fei], Ye, L.W.[Lin-Wei], Wang, Y.[Yang],
ATCC: Accurate tracking by criss-cross location attention,
IVC(111), 2021, pp. 104188.
Elsevier DOI 2106
Visual tracking, Target state estimation, Criss-Cross location attention BibRef

Zhang, Z.P.[Zhi-Peng], Liu, Y.F.[Yu-Fan], Li, B.[Bing], Hu, W.M.[Wei-Ming], Peng, H.W.[Hou-Wen],
Toward Accurate Pixelwise Object Tracking via Attention Retrieval,
IP(30), 2021, pp. 8553-8566.
IEEE DOI 2110
Target tracking, Image segmentation, Object tracking, Benchmark testing, Clutter, Table lookup, Predictive models, attention retrieval BibRef

Zhang, Z.P.[Zhi-Peng], Peng, H.W.[Hou-Wen], Fu, J.L.[Jian-Long], Li, B.[Bing], Hu, W.M.[Wei-Ming],
Ocean: Object-aware Anchor-free Tracking,
ECCV20(XXI:771-787).
Springer DOI 2011
BibRef

Shi, Z.F.[Zai-Feng], Sun, C.[Cheng], Cao, Q.J.[Qing-Jie], Wang, Z.[Zhe], Fan, Q.Q.[Qiang-Qiang],
Residual attention-based tracking-by-detection network with attention-driven data augmentation,
JVCIR(80), 2021, pp. 103312.
Elsevier DOI 2110
Object tracking, Data augmentation, Attention mechanism, Deep learning BibRef

Fu, Y.[Yang], Liu, S.[Sifei], Iqbal, U.[Umar], de Mello, S.[Shalini], Shi, H.[Humphrey], Kautz, J.[Jan],
Learning to Track Instances without Video Annotations,
CVPR21(8676-8685)
IEEE DOI 2111
Image segmentation, Image resolution, Video sequences, Pose estimation, Image annotation, Entropy BibRef

Li, H.D.[Hao-Dong], Liao, G.S.[Gui-Sheng], Xu, J.W.[Jing-Wei], Zeng, C.[Cao], He, X.P.[Xiong-Peng], Gao, P.F.[Peng-Fei],
Multi-Resolution STAP for Enhanced Ultra-Low-Altitude Target Detection,
RS(13), No. 21, 2021, pp. xx-yy.
DOI Link 2112
Space-Time Adaptive Processing. BibRef

Wang, X.[Xiao], Chen, Z.[Zhe], Tang, J.[Jin], Luo, B.[Bin], Wang, Y.W.[Yao-Wei], Tian, Y.H.[Yong-Hong], Wu, F.[Feng],
Dynamic Attention Guided Multi-Trajectory Analysis for Single Object Tracking,
CirSysVideo(31), No. 12, December 2021, pp. 4895-4908.
IEEE DOI 2112
Target tracking, Trajectory, Tracking, Visualization, Search problems, Proposals, Heuristic algorithms, trajectory selection network BibRef

Li, S.J.[Sheng-Jie], Zhao, S.[Shuai], Cheng, B.[Bo], Chen, J.L.[Jun-Liang],
Noise-Aware Framework for Robust Visual Tracking,
Cyber(52), No. 2, February 2022, pp. 1179-1192.
IEEE DOI 2202
Target tracking, Signal to noise ratio, Visualization, Correlation, Correlation filter (CF), noise~aware (NA), object tracking, signal-to-noise ratio (SNR) BibRef

Gao, X.S.[Xue-Song], Zhou, Y.[Yuan], Huo, S.W.[Shu-Wei], Li, Z.Z.[Zi-Zi], Li, K.Q.[Ke-Qiu],
Robust object tracking via deformation samples generator,
JVCIR(83), 2022, pp. 103446.
Elsevier DOI 2202
Object tracking, Convolutional neural network, Deformation samples generator, Alternating strategy BibRef

Yao, J.Z.[Jin-Zhen], Zhang, J.L.[Jian-Lin], Wang, Z.X.[Zhi-Xing], Shao, L.S.[Lin-Song],
Semantic and context features integration for robust object tracking,
IET-IPR(16), No. 5, 2022, pp. 1268-1279.
DOI Link 2203
BibRef

Zhou, Z.[Zikun], Li, X.[Xin], Fan, N.[Nana], Wang, H.P.[Hong-Peng], He, Z.Y.[Zhen-Yu],
Target-Aware State Estimation for Visual Tracking,
CirSysVideo(32), No. 5, May 2022, pp. 2908-2920.
IEEE DOI 2205
Target tracking, State estimation, Task analysis, Visualization, Training, Robustness, Predictive models, Visual tracking, target-aware BibRef

Wang, F.[Fei], Liu, G.X.[Gui-Xi], Zhang, Y.[Yi],
Dual integration of multi-model with spatial-temporal occlusion-awareness for visual object tracking,
IET-IPR(16), No. 11, 2022, pp. 2890-2910.
DOI Link 2208
BibRef

Chen, Y.Z.[Yu-Zeng], Tang, Y.Q.[Yu-Qi], Han, T.[Te], Zhang, Y.W.[Yu-Wei], Zou, B.[Bin], Feng, H.H.[Hui-Hui],
RAMC: A Rotation Adaptive Tracker with Motion Constraint for Satellite Video Single-Object Tracking,
RS(14), No. 13, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Bai, Y.[Yashuo], Song, Y.[Yong], Zhao, Y.F.[Yu-Fei], Zhou, Y.[Ya], Wu, X.[Xiyan], He, Y.X.[Yu-Xin], Zhang, Z.[Zishuo], Yang, X.[Xin], Hao, Q.[Qun],
Occlusion and Deformation Handling Visual Tracking for UAV via Attention-Based Mask Generative Network,
RS(14), No. 19, 2022, pp. xx-yy.
DOI Link 2210
BibRef

Mao, Z.J.[Zhong-Jie], Chen, X.[Xi], Yan, J.[Jia], Qu, T.[Tao],
Multimodal object tracking by exploiting appearance and class information,
JVCIR(89), 2022, pp. 103669.
Elsevier DOI 2212
Object tracking, Multimodal, Object class BibRef

Na, K.I.[Ki-In], Choi, S.[Sunglok], Kim, J.H.[Jong-Hwan],
Adaptive Target Tracking With Interacting Heterogeneous Motion Models,
ITS(23), No. 11, November 2022, pp. 21301-21313.
IEEE DOI 2212
Adaptation models, Tracking, Target tracking, Computational modeling, Complexity theory, Roads, Bayesian filtering BibRef

Hu, S.Y.[Shi-Yu], Zhao, X.[Xin], Huang, L.H.[Liang-Hua], Huang, K.Q.[Kai-Qi],
Global Instance Tracking: Locating Target More Like Humans,
PAMI(45), No. 1, January 2023, pp. 576-592.
IEEE DOI 2212
BibRef
Earlier: A3, A2, A4, Only:
Bridging the Gap Between Detection and Tracking: A Unified Approach,
ICCV19(3998-4008)
IEEE DOI 2004
Task analysis, Target tracking, Visualization, Benchmark testing, Games, Object tracking, Intelligent systems, human tracking ability. object detection, regression analysis, tracking-by-detection algorithm, deep trackers, Training BibRef

Jing, P.G.[Pei-Guang], Huang, Z.J.[Zi-Jian], Liu, J.[Jing], Wang, Y.T.[Ya-Ting], Yu, J.X.[Jie-Xiao],
Edge-aware object pixel-level representation tracking,
JVCIR(90), 2023, pp. 103735.
Elsevier DOI 2301
Object tracking, Edge-aware, Segmentation mask, Real-time BibRef

Hu, W.M.[Wei-Ming], Wang, Q.A.[Qi-Ang], Zhang, L.[Li], Bertinetto, L.[Luca], Torr, P.H.S.[Philip H.S.],
SiamMask: A Framework for Fast Online Object Tracking and Segmentation,
PAMI(45), No. 3, March 2023, pp. 3072-3089.
IEEE DOI 2302
BibRef
Earlier: A2, A3, A4, A1, A5:
Fast Online Object Tracking and Segmentation: A Unifying Approach,
CVPR19(1328-1338).
IEEE DOI 2002
Training, Visualization, Target tracking, Object segmentation, Streaming media, Benchmark testing, Multitasking, Object tracking, siamese network BibRef

Xia, Y.[Yan], Wu, Q.Q.[Qiang-Qiang], Li, W.[Wei], Chan, A.B.[Antoni B.], Stilla, U.[Uwe],
A Lightweight and Detector-Free 3D Single Object Tracker on Point Clouds,
ITS(24), No. 5, May 2023, pp. 5543-5554.
IEEE DOI 2305
Target tracking, Point cloud compression, Proposals, Object tracking, Detectors, Search problems, Point clouds, 3D single object tracking BibRef

Cheng, Z.[Ziyi], Wu, B.Y.[Bao-Yuan], Zhang, Z.Y.[Zhen-Ya], Zhao, J.J.[Jian-Jun],
TAT: Targeted backdoor attacks against visual object tracking,
PR(142), 2023, pp. 109629.
Elsevier DOI 2307
Backdoor attack, Visual object tracking, Targeted attack BibRef

Zhou, Z.[Ze], Sun, Y.H.[Ying-Hui], Sun, Q.S.[Quan-Sen], Li, C.[Chaobo], Ren, Z.W.[Zhen-Wen],
Only Once Attack: Fooling the Tracker With Adversarial Template,
CirSysVideo(33), No. 7, July 2023, pp. 3173-3184.
IEEE DOI 2307
Target tracking, Perturbation methods, Visualization, Generators, Object tracking, Iterative methods, Sun, Visual object tracking, targeted attack BibRef

Zhou, Z.[Ze], Sun, Q.S.[Quan-Sen], Li, H.J.[Hong-Jun], Li, C.B.[Chao-Bo], Ren, Z.W.[Zhen-Wen],
Regression-Selective Feature-Adaptive Tracker for Visual Object Tracking,
MultMed(25), 2023, pp. 5444-5457.
IEEE DOI 2311
BibRef

Zhang, Y.[Yu], Wang, L.F.[Ling-Fei], Zhang, C.H.[Cheng-Hao], Li, J.[Jin],
Adversarial Examples in Visual Object Tracking in Satellite Videos: Cross-Frame Momentum Accumulation for Adversarial Examples Generation,
RS(15), No. 13, 2023, pp. 3240.
DOI Link 2307
BibRef

Yu, C.R.[Chao-Ran], Feng, Z.J.[Zhe-Jun], Wu, Z.Y.[Zeng-Yan], Wei, R.X.[Run-Xi], Song, B.M.[Bao-Ming], Cao, C.Q.[Chang-Qing],
HB-YOLO: An Improved YOLOv7 Algorithm for Dim-Object Tracking in Satellite Remote Sensing Videos,
RS(15), No. 14, 2023, pp. 3551.
DOI Link 2307
BibRef

Yang, J.W.[Jian-Wei], Pan, Z.X.[Zong-Xu], Liu, Y.H.[Yu-Han], Niu, B.[Ben], Lei, B.[Bin],
Single Object Tracking in Satellite Videos Based on Feature Enhancement and Multi-Level Matching Strategy,
RS(15), No. 17, 2023, pp. 4351.
DOI Link 2310
BibRef

Jiang, Y.[Yan], Yin, G.S.[Gui-Sheng],
Attention-Enhanced One-Shot Attack against Single Object Tracking for Unmanned Aerial Vehicle Remote Sensing Images,
RS(15), No. 18, 2023, pp. 4514.
DOI Link 2310
BibRef

Wang, H.X.[Hong-Xin], Zhao, J.N.[Jian-Nan], Wang, H.[Huatian], Hu, C.[Cheng], Peng, J.[Jigen], Yue, S.G.[Shi-Gang],
Attention and Prediction-Guided Motion Detection for Low-Contrast Small Moving Targets,
Cyber(53), No. 10, October 2023, pp. 6340-6352.
IEEE DOI 2310
BibRef

Wang, H.X.[Hong-Xin], Zhong, Z.[Zhiyan], Lei, F.[Fang], Peng, J.[Jigen], Yue, S.G.[Shi-Gang],
Bio-Inspired Small Target Motion Detection With Spatio-Temporal Feedback in Natural Scenes,
IP(33), 2024, pp. 451-465.
IEEE DOI 2401
Visualization, Visual systems, Motion detection, Neurons, Insects, Feature extraction, Dynamics, population coding BibRef

Hu, S.Y.[Shi-Yu], Zhao, X.[Xin], Huang, K.Q.[Kai-Qi],
SOTVerse: A User-Defined Task Space of Single Object Tracking,
IJCV(132), No. 3, March 2024, pp. 872-930.
Springer DOI 2402
BibRef
And: Correction: IJCV(132), No. 5, May 2024, pp. 1880-1880.
Springer DOI 2405
BibRef

Marikhu, R.[Ramesh], Dailey, M.N.[Matthew N.], Ekpanyapong, M.[Mongkol],
Three dimensional tracking of rigid objects in motion using 2D optical flows,
IVC(142), 2024, pp. 104913.
Elsevier DOI 2402
Motion estimation, Optical flows, LM optimization BibRef

Zhang, H.L.[Huan-Long], Wang, J.C.[Jing-Chao], Zhang, J.W.[Jian-Wei], Zhang, T.Z.[Tian-Zhu], Zhong, B.N.[Bi-Neng],
One-Stream Vision-Language Memory Network for Object Tracking,
MultMed(26), 2024, pp. 1720-1730.
IEEE DOI 2402
Target tracking, Visualization, Linguistics, Iron, Feature extraction, Computational modeling, Adaptation models, memory network BibRef

Zhai, J.[Jiang], Cheng, Z.[Zinan], Zhang, W.K.[Wen-Kang], Zhu, D.J.[De-Jun], Yang, W.K.[Wan-Kou],
Efficient object tracking on edge devices with MobileTrack,
JVCIR(100), 2024, pp. 104126.
Elsevier DOI 2405
Visual tracking, Fast and efficient, Siamese network BibRef

Liu, K.[Kang], Liu, L.[Long], Yang, S.Q.[Shang-Qi], Fu, Z.H.[Zhi-Hao],
Spatial feature embedding for robust visual object tracking,
IET-CV(18), No. 4, 2024, pp. 540-556.
DOI Link 2406
distance learning, image motion analysis, object tracking BibRef

Bousta, M.A.[Mohamed Akli], Nemra, A.[Abdelkrim],
Robust autonomous detection and tracking of moving objects using hybrid tracking approach,
IJCVR(14), No. 4, 2024, pp. 375-400.
DOI Link 2407
BibRef

Guo, G.W.[Gao-Wei], Li, Z.X.[Zhao-Xu], An, W.[Wei], Wang, Y.Q.[Ying-Qian], He, X.[Xu], Luo, Y.H.[Yi-Hang], Ling, Q.[Qiang], Li, M.[Miao], Lin, Z.P.[Zai-Ping],
SPTrack: Spectral Similarity Prompt Learning for Hyperspectral Object Tracking,
RS(16), No. 16, 2024, pp. 2975.
DOI Link 2408
BibRef

Fan, J.Q.[Jia-Qing], Hu, S.L.[Sheng-Long], Wang, L.[Long], Zhang, K.[Kaihua], Liu, B.[Bo],
Dual temporal memory network with high-order spatio-temporal graph learning for video object segmentation,
IVC(150), 2024, pp. 105208.
Elsevier DOI 2409
Semi-supervised learning, Video object segmentation, Graph convolution networks, High-order graph learning, Direction-aware attention BibRef

Xie, F.[Fei], Yang, W.K.[Wan-Kou], Zhang, K.[Kaihua], Liu, B.[Bo], Wang, G.[Guangting], Zuo, W.M.[Wang-Meng],
Learning Spatio-Appearance Memory Network for High-Performance Visual Tracking,
VOT21(2678-2687)
IEEE DOI 2112
Earth, Visualization, Tracking, Memory management, Object segmentation, Benchmark testing, Robustness BibRef

Ra, J.W.[Jong-Won], Wang, M.M.[Meng-Meng], Mei, J.B.[Jian-Biao], Liu, S.[Shanqi], Yang, Y.[Yu], Liu, Y.[Yong],
Exploit Spatiotemporal Contextual Information for 3D Single Object Tracking via Memory Networks,
3DV24(842-851)
IEEE DOI 2408
Point cloud compression, Solid modeling, Target tracking, Video sequences, Feature extraction, Spatiotemporal phenomena BibRef

Cai, Y.D.[Yi-Dong], Liu, J.[Jie], Tang, J.[Jie], Wu, G.S.[Gang-Shan],
Robust Object Modeling for Visual Tracking,
ICCV23(9555-9566)
IEEE DOI 2401
BibRef

Rozumnyi, D.[Denys], Matas, J.[Jirí], Pollefeys, M.[Marc], Ferrari, V.[Vittorio], Oswald, M.R.[Martin R.],
Tracking by 3D Model Estimation of Unknown Objects in Videos,
ICCV23(14040-14050)
IEEE DOI 2401
BibRef

Li, Y.W.[Yan-Wei], Yu, Z.[Zhiding], Philion, J.[Jonah], Anandkumar, A.[Anima], Fidler, S.[Sanja], Jia, J.Y.[Jia-Ya], Alvarez, J.[Jose],
End-to-end 3D Tracking with Decoupled Queries,
ICCV23(18256-18265)
IEEE DOI 2401
BibRef

Ma, T.[Teli], Wang, M.M.[Meng-Meng], Xiao, J.[Jimin], Wu, H.[Huifeng], Liu, Y.[Yong],
Synchronize Feature Extracting and Matching: A Single Branch Framework for 3D Object Tracking,
ICCV23(9919-9929)
IEEE DOI 2401
BibRef

Li, X.[Xin], Huang, Y.Q.[Yu-Qing], He, Z.Y.[Zhen-Yu], Wang, Y.[Yaowei], Lu, H.C.[Hu-Chuan], Yang, M.H.[Ming-Hsuan],
CiteTracker: Correlating Image and Text for Visual Tracking,
ICCV23(9940-9949)
IEEE DOI Code:
WWW Link. 2401
BibRef

Huang, H.J.[Hua-Jian], Xu, Y.[Yinzhe], Chen, Y.S.[Ying-Shu], Yeung, S.K.[Sai-Kit],
360VOT: A New Benchmark Dataset for Omnidirectional Visual Object Tracking,
ICCV23(20509-20519)
IEEE DOI Code:
WWW Link. 2401
BibRef

Zhao, Z.L.[Ze-Lin], Wu, Z.[Ze], Zhuang, Y.[Yueqing], Li, B.[Boxun], Jia, J.Y.[Jia-Ya],
Tracking Objects as Pixel-Wise Distributions,
ECCV22(XXII:76-94).
Springer DOI 2211
BibRef

Henzel, R.[Robert], Misra, K.[Kiran], Ji, T.Y.[Tian-Ying],
Efficient Feature Compression for the Object Tracking Task,
ICIP22(3505-3509)
IEEE DOI 2211
Video coding, Image coding, Tensors, Codes, Neural networks, Video compression, Servers, video coding, feature compression, tracking BibRef

Chen, B.[Boyu], Li, P.X.[Pei-Xia], Bai, L.[Lei], Qiao, L.[Lei], Shen, Q.H.[Qiu-Hong], Li, B.[Bo], Gan, W.H.[Wei-Hao], Wu, W.[Wei], Ouyang, W.L.[Wan-Li],
Backbone is All Your Need: A Simplified Architecture for Visual Object Tracking,
ECCV22(XXII:375-392).
Springer DOI 2211
BibRef

Stearns, C.[Colton], Rempe, D.[Davis], Li, J.[Jie], Ambrus, R.[Rares], Zakharov, S.[Sergey], Guizilini, V.[Vitor], Yang, Y.C.[Yan-Chao], Guibas, L.J.[Leonidas J.],
SpOT: Spatiotemporal Modeling for 3D Object Tracking,
ECCV22(XXXVIII:639-656).
Springer DOI 2211
BibRef

Zhang, H.X.[Hao-Xian], Ling, Y.G.[Yong-Gen],
HVC-Net: Unifying Homography, Visibility, and Confidence Learning for Planar Object Tracking,
ECCV22(XXII:701-718).
Springer DOI 2211
BibRef

Tian, X.H.[Xu-Hui], Lin, X.R.[Xin-Ran], Zhong, F.[Fan], Qin, X.Y.[Xue-Ying],
Large-Displacement 3D Object Tracking with Hybrid Non-local Optimization,
ECCV22(XXII:627-643).
Springer DOI 2211
BibRef

Kumar, A.[Abhishek], Ajani, O.S.[Oladayo S.], Das, S.[Swagatam], Mallipeddi, R.[Rammohan],
GridShift: A Faster Mode-seeking Algorithm for Image Segmentation and Object Tracking,
CVPR22(8121-8129)
IEEE DOI 2210
Image segmentation, Runtime, Machine learning algorithms, Image color analysis, Clustering algorithms, Machine learning, Self- semi- meta- unsupervised learning BibRef

Liu, Y.[Yang], Zulfikar, I.E.[Idil Esen], Luiten, J.[Jonathon], Dave, A.[Achal], Ramanan, D.[Deva], Leibe, B.[Bastian], Ošep, A.[Aljoša], Leal-Taixé, L.[Laura],
Opening up Open World Tracking,
CVPR22(19023-19033)
IEEE DOI 2210
Training, Heart, Autonomous systems, Benchmark testing, Hazards, Pattern recognition, Motion and tracking, Datasets and evaluation BibRef

Mouawad, I.[Issa], Odone, F.[Francesca],
FasterVideo: Efficient Online Joint Object Detection and Tracking,
CIAP22(III:375-387).
Springer DOI 2205
BibRef

Tokmakov, P.[Pavel], Li, J.[Jie], Burgard, W.[Wolfram], Gaidon, A.[Adrien],
Learning to Track with Object Permanence,
ICCV21(10840-10849)
IEEE DOI 2203
Location awareness, Tracking, Object detection, Memory modules, Robustness, Data models, Cognition, Motion and tracking, Video analysis and understanding BibRef

Zhou, Z.[Zikun], Pei, W.J.[Wen-Jie], Li, X.[Xin], Wang, H.P.[Hong-Peng], Zheng, F.[Feng], He, Z.Y.[Zhen-Yu],
Saliency-Associated Object Tracking,
ICCV21(9846-9855)
IEEE DOI 2203
Deep learning, Target tracking, Correlation, Computational modeling, Object tracking, State estimation, Video analysis and understanding BibRef

Xu, J.R.[Jia-Rui], Wang, X.L.[Xiao-Long],
Rethinking Self-supervised Correspondence Learning: A Video Frame-level Similarity Perspective,
ICCV21(10055-10065)
IEEE DOI 2203
Convolutional codes, Visualization, Image recognition, Object segmentation, Object tracking, Task analysis, Transfer/Low-shot/Semi/Unsupervised Learning BibRef

Liu, M.X.[Meng-Xue], Qi, Y.J.[Yu-Juan], Wang, Y.J.[Yan-Jiang], Liu, B.[Baodi],
Adaptive Multi-Feature Fusion for Robust Object Tracking,
ICIP21(1884-1888)
IEEE DOI 2201
Adaptation models, Correlation, Convolution, Image processing, Filtering algorithms, Benchmark testing, object tracking, multi-feature fusion BibRef

Du, Y.H.[Yun-Hao], Wan, J.F.[Jun-Feng], Zhao, Y.Y.[Yan-Yun], Zhang, B.Y.[Bin-Yu], Tong, Z.H.[Zhi-Hang], Dong, J.H.[Jun-Hao],
GIAOTracker: A comprehensive framework for MCMOT with global information and optimizing strategies in VisDrone 2021,
VisDrone21(2809-2819)
IEEE DOI 2112
Tracking, Cameras, Trajectory, Spatiotemporal phenomena, Quality assessment, Reliability, Object tracking, Multi-stages BibRef

Wang, G.T.[Guang-Ting], Zhou, Y.Z.[Yi-Zhou], Luo, C.[Chong], Xie, W.X.[Wen-Xuan], Zeng, W.J.[Wen-Jun], Xiong, Z.W.[Zhi-Wei],
Unsupervised Visual Representation Learning by Tracking Patches in Video,
CVPR21(2563-2572)
IEEE DOI 2111
Visualization, Computational modeling, Training data, Games, Trajectory, Pattern recognition BibRef

Lai, Z., Lu, E., Xie, W.,
MAST: A Memory-Augmented Self-Supervised Tracker,
CVPR20(6478-6487)
IEEE DOI 2008
Videos, Image color analysis, Training, Measurement, Task analysis, Visual systems, Visualization BibRef

Lukežic, A., Matas, J.G., Kristan, M.,
D3S: A Discriminative Single Shot Segmentation Tracker,
CVPR20(7131-7140)
IEEE DOI 2008
Target tracking, Object segmentation, Feature extraction, Robustness, Benchmark testing, Correlation BibRef

Wiyatno, R., Xu, A.,
Physical Adversarial Textures That Fool Visual Object Tracking,
ICCV19(4821-4830)
IEEE DOI 2004
image motion analysis, image segmentation, image texture, object detection, object tracking, optimisation, Convergence BibRef

Zhang, X.[Xindi], Chandramouli, K.[Krishna],
Critical Infrastructure Security Against Drone Attacks Using Visual Analytics,
CVS19(713-722).
Springer DOI 1912
BibRef

García, M.[Manuel], Viguria, A.[Antidio], Heredia, G.[Guillermo], Ollero, A.[Aníbal],
Minimal-time Trajectories for Interception of Malicious Drones in Constrained Environments,
CVS19(734-743).
Springer DOI 1912
BibRef

Diamantidou, E.[Eleni], Lalas, A.[Antonios], Votis, K.[Konstantinos], Tzovaras, D.[Dimitrios],
Multimodal Deep Learning Framework for Enhanced Accuracy of UAV Detection,
CVS19(768-777).
Springer DOI 1912
BibRef

Šerých, J.[Jonáš], Matas, J.G.[Jirí G.],
Planar Object Tracking via Weighted Optical Flow,
WACV23(1593-1602)
IEEE DOI 2302
BibRef
Earlier:
Visual Coin-Tracking: Tracking of Planar Double-Sided Objects,
GCPR19(317-330).
Springer DOI 1911
Image motion analysis, Codes, Annotations, Computational modeling, Estimation, Benchmark testing, Virtual/augmented reality BibRef

Ozer, C.[Caner], Gurkan, F.[Filiz], Gunsel, B.[Bilge],
Target Aware Visual Object Tracking,
ICIAR19(II:186-198).
Springer DOI 1909
BibRef

Bombardelli, F.[Fernando], Gül, S.[Serhan], Hellge, C.[Cornelius],
Compressed-Domain Video Object Tracking Using Markov Random Fields with Graph Cuts Optimization,
GCPR18(127-139).
Springer DOI 1905
BibRef

Liu, X., Li, C., Wang, H., Zhen, X., Zhang, B., Ye, Q.,
Starts Better and Ends Better: A Target Adaptive Image Signature Tracker,
WACV19(171-178)
IEEE DOI 1904
feature extraction, filtering theory, iterative methods, object detection, object tracking, target tracking, cosine mask, Radio frequency BibRef

Jiang, X.L.[Xiao-Long], Li, P.Z.[Pei-Zhao], Zhen, X.T.[Xian-Tong], Cao, X.B.[Xian-Bin],
Model-Free Tracking With Deep Appearance and Motion Features Integration,
WACV19(101-110)
IEEE DOI 1904
convolutional neural nets, feature extraction, image motion analysis, image representation, Computational modeling BibRef

Jiang, B., Zhang, Y., Tang, J., Luo, B.,
OWP: Objectness Weighted Patch Descriptor for Visual Tracking,
ICPR18(2118-2123)
IEEE DOI 1812
Target tracking, Computational modeling, Visualization, Optimization, Closed-form solutions, Support vector machines, Weight measurement BibRef

Ding, X., Li, L., Zhang, X.,
A Selective Tracking and Detection Framework with Target Enhanced Feature,
ICPR18(1924-1928)
IEEE DOI 1812
Target tracking, Detectors, Dictionaries, Feature extraction, Benchmark testing, Color, Correlation, object tracking, selective mechanism BibRef

Wu, M., Zha, Y., Zhang, Y., Ku, T., Zhang, L., Chen, B.,
Joint Identification-Verification Model for Visual Tracking,
ICPR18(1676-1682)
IEEE DOI 1812
Target tracking, Visualization, Feature extraction, Semantics, Training, Neural networks, visual tracking, similarity learning, inter-class separability BibRef

Ma, D., Bu, W., Xie, Y., Cui, Y., Wu, X.,
Segmentation-Guided Tracking with Prior Map Decision,
ICPR18(2014-2019)
IEEE DOI 1812
Target tracking, Semantics, Image segmentation, Visualization, Object segmentation, Feature extraction BibRef

Xiong, Z.W.[Zi-Wei], Zhao, N.[Nan], Li, C.L.[Cheng-Long], Tang, J.[Jin],
Visual Tracking via Patch-Based Absorbing Markov Chain,
SSSPR18(150-159).
Springer DOI 1810
BibRef

Lee, H., Kim, D.,
Salient Region-Based Online Object Tracking,
WACV18(1170-1177)
IEEE DOI 1806
feature extraction, image colour analysis, image matching, object tracking, EAO, color distribution, color matching, Target tracking BibRef

Tian, P., Lv, J.,
Robust object tracking based on discriminative analysis and local sparse representation,
ICIP17(3600-3604)
IEEE DOI 1803
Dictionaries, Histograms, Image color analysis, Noise measurement, Object tracking, Target tracking, Weight measurement, similarity measurement BibRef

Cen, M., Jung, C.,
Comp-LOP: Complex form of local orientation plane for object tracking,
ICIP17(650-654)
IEEE DOI 1803
Correlation, Entropy, Object tracking, Robustness, Search problems, Spatiotemporal phenomena, Target tracking, Object tracking, scale estimation BibRef

Wu, P.[Peng], Huang, D.[Di], Wang, Y.H.[Yun-Hong],
REVT: Robust and Efficient Visual Tracking by Region-Convolutional Regression Network,
MMMod18(I:440-452).
Springer DOI 1802
BibRef

Wang, M.M.[Meng-Meng], Liu, Y.[Yong], Huang, Z.Y.[Ze-Yi],
Large Margin Object Tracking with Circulant Feature Maps,
CVPR17(4800-4808)
IEEE DOI 1711
Structured SVM Tracking. Algorithm design and analysis, Optimization, Real-time systems, Support vector machines, Target tracking, Training, Visualization BibRef

Wu, D.[Di], Zou, W.B.[Wen-Bin], Li, X.[Xia], Zhao, Y.[Yong],
Kernalised Multi-resolution Convnet for Visual Tracking,
DeepLearn-T17(2241-2248)
IEEE DOI 1709
Correlation, Feature extraction, Kernel, Object tracking, Target tracking, Training, Visualization BibRef

Navaei, P.[Pouria], Eslami, M.[Mohammad], Torkamani-Azar, F.[Farah],
Object Tracking via Pixel-Wise and Block-Wise Sparse Representation,
SCIA17(I: 273-284).
Springer DOI 1706
BibRef

Le, X.S.[Xue-Song], Gonzalez, R.[Ruben],
A Consistent, Real-Time Image Segmentation for Object Tracking,
DICTA16(1-7)
IEEE DOI 1701
Clustering algorithms BibRef

Wang, W., Duan, K., Tian, T.P.[Tai-Peng], Yu, T.[Ting], Lim, S.N.[Ser Nam], Qi, H.,
Visual tracking based on object appearance and structure preserved local patches matching,
AVSS16(145-151)
IEEE DOI 1611
Collaboration BibRef

Sun, L., Qu, K., Xu, S., Qiu, S.,
Visual tracking by the combination of global detector and local image patch matching,
ICIP16(3474-3478)
IEEE DOI 1610
Detectors BibRef

Shirazi, S., Sanderson, C.[Conrad], McCool, C., Harandi, M.T.,
Bags of Affine Subspaces for Robust Object Tracking,
DICTA15(1-7)
IEEE DOI 1603
affine transforms BibRef

Aribi, Y.[Yassine], Wali, A.[Ali], Alimi, A.M.[Adel M.],
Automated Fast Marching Method for Segmentation and Tracking of Region of Interest in Scintigraphic Images Sequences,
CAIP15(II:725-736).
Springer DOI 1511
BibRef

Liu, K.[Kui], Liu, B.W.[Bing-Wei], Blasch, E.P.[Erik P.], Shen, D.[Dan], Wang, Z.H.[Zhong-Hai], Ling, H.B.[Hai-Bin], Chen, G.[Genshe],
A cloud infrastructure for target detection and tracking using audio and video fusion,
PBVS15(74-81)
IEEE DOI 1510
Computer vision BibRef

Li, Y.[Yang], Zhu, J.[Jianke], Hoi, S.C.H.[Steven C.H.],
Reliable Patch Trackers: Robust visual tracking by exploiting reliable patches,
CVPR15(353-361)
IEEE DOI 1510
BibRef

Hong, Z.B.[Zhi-Bin], Chen, Z.[Zhe], Wang, C.H.[Chao-Hui], Mei, X.[Xue], Prokhorov, D.[Danil], Tao, D.C.[Da-Cheng],
MUlti-Store Tracker (MUSTer): A cognitive psychology inspired approach to object tracking,
CVPR15(749-758)
IEEE DOI 1510
BibRef

Zhu, H.[Hao], Li, Y.[Yi],
Fast Inference of Contaminated Data for Real Time Object Tracking,
ACCV14(V: 275-289).
Springer DOI 1504
BibRef

Wang, H.[Han], Bai, Y.C.[Yan-Cheng], Tang, M.[Ming],
Robust Maximum Margin Correlation Tracking,
AutoSystems14(487-500).
Springer DOI 1504
BibRef

Qian, Z.L.[Zeng-Lei], Liang, J.Z.[Jiu-Zhen], Niu, Z.G.[Zhi-Guo], Xu, Y.C.[Yong-Cun], Wu, Q.[Qin],
A Fast Object Detecting-Tracking Method in Compressed Domain,
VSegCV14(344-359).
Springer DOI 1504
BibRef

Zhu, G.[Gao], Porikli, F.M.[Fatih M.], Ming, Y.S.[Yan-Sheng], Li, H.D.[Hong-Dong],
Lie-Struck: Affine Tracking on Lie Groups Using Structured SVM,
WACV15(63-70)
IEEE DOI 1503

See also Struck: Structured Output Tracking with Kernels. BibRef

Bagheri, Z.M., Wiederman, S.D., Cazzolato, B.S., Grainger, S., O'Carroll, D.C.,
A Biologically Inspired Facilitation Mechanism Enhances the Detection and Pursuit of Targets of Varying Contrast,
DICTA14(1-5)
IEEE DOI 1502
object detection Detection and pursuit based on insect vision. BibRef

Lee, D.Y.[Dae-Youn], Sim, J.Y.[Jae-Young], Kim, C.S.[Chang-Su],
Fast object tracking using color histograms and patch differences,
ICIP13(3905-3908)
IEEE DOI 1402
Object tracking BibRef

Zeng, F.X.[Fan-Xiang], Liu, X.[Xuan], Huang, Z.T.[Zhi-Tong], Ji, Y.F.[Yue-Feng],
Robust and efficient object tracking algorithm under illumination changes based on joint gradient-intensity histogram,
ICIP13(2455-2459)
IEEE DOI 1402
Joint gradient-intensity histogram BibRef

Zhou, Z.[Zhi], Wang, Y.[Yue], Teoh, E.K.[Eam Khwang],
Robust object tracking using Bi-model,
ICIP13(3103-3107)
IEEE DOI 1402
Object tracking; Random Ferns; SURF; object detection; partial occlusion BibRef

Santhaseelan, V.[Varun], Asari, K.V.[K. Vijayan],
Tracking in Wide Area Motion Imagery Using Phase Vector Fields,
CNWASA13(823-830)
IEEE DOI 1309
feature tracking BibRef

Fogle, R.[Ryan], Salva, K.[Karl], Vasquez, J.[Juan], Kessler, A.[Ash],
Multi-objective Detector and Tracker Parameter Optimization via NSGA-II,
AAVE15(4-9)
IEEE DOI 1503
BibRef

Jackovitz, K., Asari, V., Balster, E., Vasquez, J., Hytla, P.,
Registration of region of interest for object tracking applications in wide area motion imagery,
AIPR12(1-8)
IEEE DOI 1307
image motion analysis BibRef

Su, F.[Feng], Fang, G.[Gu],
Moving object tracking using an adaptive colour filter,
ICARCV12(1048-1052).
IEEE DOI 1304
BibRef

Kooi, T.[Thijs], de Sorbier, F.[Francois], Saito, H.[Hideo],
Colour Descriptors for Tracking in Spatial Augmented Reality,
DTCE12(II:387-399).
Springer DOI 1304
BibRef

Ernst, J.[Jan], Singh, M.K.[Maneesh K.], Ramesh, V.[Visvanathan],
Discrete texture traces: Topological representation of geometric context,
CVPR12(422-429).
IEEE DOI 1208
BibRef

Wang, S.[Shu], Lu, H.C.[Hu-Chuan], Yang, G.[Guang],
Complementary Visual Tracking,
ICIP11(477-480).
IEEE DOI 1201
BibRef

Nasrullah, S.[Sheikh], Khan, D.A.[Dawood Ashraf],
A novel algorithm for real time moving object tracking,
ICIIP11(1-5).
IEEE DOI 1112
BibRef

Singh, R.[Roshan], Purwar, R.K.[Ravindra Kumar], Rajpal, N.[Navin],
A better approach for object tracking using dual-tree complex wavelet transform,
ICIIP11(1-5).
IEEE DOI 1112
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Mohr, D.[Daniel], Zachmann, G.[Gabriel],
Segmentation-Free, Area-Based Articulated Object Tracking,
ISVC11(I: 112-123).
Springer DOI 1109
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Zhang, Q.[Qi], Zhang, J.L.[Jin-Lin], Rui, T.[Ting],
Target Tracking Based on Wavelet Features in the Dynamic Image Sequence,
ICIG11(811-815).
IEEE DOI 1109
BibRef

Liu, Y.[Yu], Zhou, W.[Wei], Yin, H.G.[Hua-Gang], Yu, N.H.[Neng-Hai],
Tracking Based on SURF and Superpixel,
ICIG11(714-719).
IEEE DOI 1109
BibRef

Amberg, B.[Brian], Vetter, T.[Thomas],
GraphTrack: Fast and globally optimal tracking in videos,
CVPR11(1209-1216).
IEEE DOI 1106
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Fan, L.X.[Li-Xin], Riihimaki, M.[Mikko], Kunttu, I.[Iivari],
A feature-based object tracking approach for realtime image processing on mobile devices,
ICIP10(3921-3924).
IEEE DOI 1009
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Wang, Q.[Qing], Chen, F.[Feng], Xu, W.L.[Wen-Li],
Saliency selection for robust visual tracking,
ICIP10(2785-2788).
IEEE DOI 1009
BibRef

Le, T.L.[Thi-Lan], Thonnat, M.[Monique], Boucher, A.[Alain], Brémond, F.[François],
Appearance based retrieval for tracked objects in surveillance videos,
CIVR09(Article No 40).
DOI Link 0907
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Nuernberger, B., Gauglitz, S., Hollerer, T., Turk, M.A.,
Investigating viewpoint visualizations for click & go navigation,
3DUI14(159-160)
IEEE DOI 1406
computerised navigation BibRef

Gauglitz, S.[Steffen], Foschini, L.[Luca], Turk, M.A.[Matthew A.], Hollerer, T.[Tobias],
Efficiently selecting spatially distributed keypoints for visual tracking,
ICIP11(1869-1872).
IEEE DOI 1201
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Gruber, L.[Lukas], Zollmann, S.[Stefanie], Wagner, D.[Daniel], Schmalstieg, D.[Dieter], Hollerer, T.[Tobias],
Optimization of Target Objects for Natural Feature Tracking,
ICPR10(3607-3610).
IEEE DOI 1008
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Nguyen, H.V.[Hien Van], Banerjee, A.[Amit], Chellappa, R.[Rama],
Tracking via object reflectance using a hyperspectral video camera,
OTCBVS10(44-51).
IEEE DOI 1006
BibRef

Stavens, D.[David], Thrun, S.[Sebastian],
Unsupervised learning of invariant features using video,
CVPR10(1649-1656).
IEEE DOI 1006
Learn the features based on tracked image patches. BibRef

Chen, W.S.[Wei-Shi], Ning, H.S.[Huan-Sheng], Li, J.[Jing],
Detecting and tracking of small moving target in avian radar images,
IASP10(473-476).
IEEE DOI 1004
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Huang, J.H.[Jun-Heng], Du, Y.[Yu], Quan, G.R.[Guang-Ri], Zhu, D.J.[Dong-Jie],
Visual Object Tracking with Pyramid, Random Subspace Features,
CISP09(1-4).
IEEE DOI 0910
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Ming, A.L.[An-Long], Ma, H.D.[Hua-Dong],
Frame-skipping tracking for single object with global motion detection,
ICPR08(1-4).
IEEE DOI 0812
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Yin, S.M.[Shi-Min], Yoo, H.J.[Haan Joo], Choi, J.Y.[Jin Young],
Enhanced Measurement Model for Subspace-Based Tracking,
ICPR10(3492-3495).
IEEE DOI 1008
BibRef

Maki, A.[Atsuto], Hatanaka, Y.[Yosuke], Matsuyama, T.[Takashi],
Tracking features on a moving object using local image bases,
ICPR08(1-5).
IEEE DOI 0812
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Banerjee, P.[Prithviraj], Pinz, A.[Axel], Sengupta, S.[Somnath],
Model generation for robust object tracking based on temporally stable regions,
Motion08(1-6).
IEEE DOI 0801
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Ritch, M.[Mark], Canagarajah, C.N.[C. Nishan],
Motion-Based Video Object Tracking in the Compressed Domain,
ICIP07(VI: 301-304).
IEEE DOI 0709
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Dore, A., Regazzoni, C.S., Musso, M.,
MAP Particle Selection in Shape-Based Object Tracking,
ICIP07(V: 341-344).
IEEE DOI 0709
BibRef

Zhang, B., Jiang, J., Xiao, G.,
Video Object Tracking Via Central Macro-blocks and Directional Vectors,
ICIAR07(593-601).
Springer DOI 0708
BibRef

Chen, Z.Z.[Ze-Zhi], Wallace, A.M.[Andrew M.],
Active Segmentation and Adaptive Tracking Using Level Sets,
BMVC07(xx-yy).
PDF File. 0709
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And:
Improved Object Tracking Using an Adaptive Colour Model,
EMMCVPR07(280-294).
Springer DOI 0708
BibRef

Serratosa, F.[Francesc], Amézquita Gómez, N.[Nicolás], Alquézar, R.[René],
Experimental Assessment of Probabilistic Integrated Object Recognition and Tracking Methods,
CIARP09(817-824).
Springer DOI 0911
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Amézquita Gómez, N.[Nicolás], Alquézar, R.[René], Serratosa, F.[Francesc],
Dealing with occlusion in a probabilistic object tracking method,
OTCBVS08(1-8).
IEEE DOI 0806
BibRef
Earlier:
A New Method for Object Tracking Based on Regions Instead of Contours,
OTCBVS07(1-8).
IEEE DOI 0706
BibRef

Amézquita Gómez, N.[Nicolás], Alquézar, R.[René], Serratosa, F.[Francesc],
Object Recognition and Tracking in Video Sequences: A New Integrated Methodology,
CIARP06(481-490).
Springer DOI 0611
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Wang, X.Y.[Xiao-Yu], Hua, G.[Gang], Han, T.X.[Tony X.],
Discriminative Tracking by Metric Learning,
ECCV10(III: 200-214).
Springer DOI 1009
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Han, T.X.[Tony X.], Liu, M.[Ming], Huang, T.S.[Thomas S.],
A Drifting-proof Framework for Tracking and Online Appearance Learning,
WACV07(10-10).
IEEE DOI 0702
Tracking based on appearance. BibRef

Yelal, M.R., Sasi, S., Shaffer, G.R., Kumar, A.K.,
Color-Based Signal Light Tracking in Real-Time Video,
AVSBS06(67-67).
IEEE DOI 0611
BibRef

Li, X.K.[Xiao-Kun], Kwan, C.[Chiman], Mei, G.[Gang], Li, B.X.[Bao-Xin],
A Generic Approach to Object Matching and Tracking,
ICIAR06(I: 839-849).
Springer DOI 0610
BibRef

Zhou, Y.[Yue], Huang, T.S.[Thomas S.],
Weighted Bayesian Network for Visual Tracking,
ICPR06(I: 523-526).
IEEE DOI 0609
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Black, J., Makris, D., Ellis, T.,
Validation of blind region learning and tracking,
PETS05(9-16).
IEEE DOI 0602
BibRef

Freedman, D.[Daniel], Turek, M.W.[Matthew W.],
Illumination-Invariant Tracking via Graph Cuts,
CVPR05(II: 10-17).
IEEE DOI 0507
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Freedman, D.[Daniel], Drineas, P.[Petros],
Energy Minimization via Graph Cuts: Settling What is Possible,
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Tracking Objects Using Density Matching and Shape Priors,
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IEEE DOI 0311
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Guo, Y.[Yu], Hu, W.[Weili],
Iterative learning control of wheeled robot trajectory tracking,
ICARCV04(III: 1684-1689).
IEEE DOI 0412
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Loh, A.P., Guan, F., Ge, S.S.,
Motion estimation using audio and video fusion,
ICARCV04(III: 1569-1574).
IEEE DOI 0412
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Visual tracking using active appearance models,
CRV04(2-9).
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Tracking the Pose of Objects through Subspace,
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Propagating segmented regions during a camera saccade,
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IEEE DOI 0409
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Tracking objects using recognition,
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Huang, Y.[Yu], Huang, T.S., Niemann, H.,
A region-based method for model-free object tracking,
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Probabilistic detection and tracking at high frame rates using affine warping,
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IEEE DOI 0211
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Behrad, A., Motamedi, S.A., Madani, K., Esnaashari, M.,
A new algorithm for target tracking using fuzzy-edge-hased feature matching and robust statistic,
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Articulated Object Tracking via a Genetic Algorithm,
EMMCVPR01(134-149).
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Color-Based Probabilistic Tracking,
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Cayouette, F.[Francois], Cooperstock, J.R.[Jeremy R.],
Generic Real-Time Tracking Method on Semi-Dynamic Scenes,
ICPR06(I: 711-714).
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Arseneau, S., Cooperstock, J.R.,
Automated feature registration for robust tracking methods,
ICPR02(II: 1078-1081).
IEEE DOI 0211
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Spors, S., Rabenstein, R., Strobel, N.,
Joint Audio-video Object Tracking,
ICIP01(I: 393-396).
IEEE DOI 0108
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Toyama, K., Wu, Y.,
Bootstrap Initialization of Nonparametric Texture Models for Tracking,
ECCV00(II: 119).
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Deutscher, J., North, B., Bascle, B., Blake, A.,
Tracking through Singularities and Discontinuities by Random Sampling,
ICCV99(1144-1149).
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Tracking Rigid Motion using a Compact-Structure Constraint,
ICCV99(198-205).
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Detection and Tracking of Very Small Low Contrast Objects,
BMVC98(xx-yy). BibRef 9800

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Software Based Object Tracking with Visual Feature Integration,
ICIP99(II:963-967).
IEEE DOI Original had Mitsutoshi Hatori. BibRef 9900

Pasqual, A., Aizawa, K., Hatori, M.,
Selection/substitution of Visual Features for Object Tracking,
MVA98(xx-yy). BibRef 9800

Huwer, S., Niemann, H.,
2-D-Object Tracking Based on Projection-Histograms,
ECCV98(I: 861).
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Bauer, N.[Norbert], Frischholz, R.W.[Robert W.],
Three Dimensional Automatic Motion Analysis,
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Prokopowicz, P.N., Swain, M.J., Kahn, R.E.,
Task and Environment-Sensitive Tracking,
WVB94(73-78). BibRef 9400

Richardson, H.S., and Blostein, S.D.,
A Sequential Detection Framework for Feature Tracking within Computational Constraints,
CVPR92(861-864).
IEEE DOI Tracking within the spatio-temporal image. Builds on the following paper. BibRef 9200

Borri, A., Bucci, G., Nesi, P.,
A Robust Tracking of 3D Motion,
ECCV94(A:181-188).
Springer DOI BibRef 9400

Andersson, M., and Lundquist, A.,
Tracking Lines in a Stereo Image Sequence,
SCIA91(88-97). BibRef 9100
And: ISRN KTH/NA/P--91/16--SE, August 1991. BibRef

Andersson, M.,
Tracking Methods in Computer Vision,
Ph.D.Dept. of Numerical Analysis and Computing Science, Royal Institute of Technology, May 1994. BibRef 9405 ISRN KTH/NA/P-94/13-SE. BibRef

Andersson, M., Eklundh, J.O., and Kakimoto, A.,
Rigid Body Motion Analysis from the Correspondence of Interest Points,
SCIA89(786-791). BibRef 8900

Lundquist, A.,
Tracking Lines Using a Rigid Motion Assumption,
ISRN KTH/NA/P--91/04--SE, 1991. BibRef 9100

Sarkar, S.,
Tracking 2D Structures Using Perceptual Organizational Principles,
SCV95(283-288).
IEEE DOI BibRef 9500
And: Tech. Rep. 11-94-01, Image Analysis Research Laboratory, Univ. of South FloridaNovember 1994. Code:
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O'Donnell, T., Gupta, A., Boult, T.E.,
A periodic generalized cylinder model with local deformations for tracking closed contours exhibiting repeating motion,
ICPR94(A:397-402).
IEEE DOI 9410
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Chan, M.[Michael], Metaxas, D.N.[Dimitri N.], Dickinson, S.J.[Sven J.],
Physics-Based Tracking of 3D Objects in 2D Image Sequences,
ICPR94(A:432-436).
IEEE DOI BibRef 9400
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A New Approach to Tracking 3D Objects in 2D Image Sequences,
AAAI-94(960-965). BibRef

Sinha, P.[Pawan],
Pattern Motion Perception: Feature Tracking or Integration of Component Motions?,
MIT AI Memo-1415, October 1994.
WWW Link. BibRef 9410

Tang, H.M.[Hui-Ming], Xu, S.R.[Sheng-Rong], Hong, X.Y.[Xiao-Yan],
An approach for analyzing the traces of moving objects,
ICPR92(III:526-529).
IEEE DOI 9208
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Berger, M.O., Laprie, Y.,
Global active method for automatic formant tracking guided by local processing,
ICPR92(III:598-601).
IEEE DOI 9208
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Wu, C.K.[Cheng-Ke], Lu, X.R.[Xin-Ru], Xiao, D.B.[Dong-Buo], Jiang, Y.H.[Yong-Hua],
An effective regional descriptor and its application to target recognition,
ICPR90(I: 671-673).
IEEE DOI 9006
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Hong, Z., Zhu, P.,
An Improved SSDA Applied in Target Tracking,
ICPR88(II: 767-769).
IEEE DOI BibRef 8800

Samy, R.A., Bozzo, C.A.,
Matching Images Using Motion Features,
ICPR86(978-980). BibRef 8600
Earlier:
Dynamic Scene Analysis and Video Target Tracking,
ICPR84(993-995). BibRef

Fong, Y.S.[Yu-Shan], and Brown, D.H.[David H.],
A Centroid Tracking Scheme in a Weighted Coordinate System,
CVPR85(219-221). Clarkson Univ. A weighted mask is convolved with the segmented image mask. The minimum is the best match. BibRef 8500

Hunt, A.E.[Alison E.], and Sanderson, A.C.[Arthur C.],
Vision-Based Predictive Robotic Tracking of a Moving Target,
CMU-RI-TR-82-15, 1982. CMU Robotics Institute. Simple tracking of slow moving objects. Uses SRI vision module and a PUMA 500, these give the time constraints of one second between robot positions updates. It uses 5 different position prediction methods and chooses the best one based on its performance so far (how well it has really predicted the position). BibRef 8200

Jenkin, M.R.M., (Toronto),
Tracking Three Dimensional Moving Light Displays,
Motion83(66-70). Moving Light Displays.
See also Applying Temporal Constraints to the Dynamic Stereo Problem. BibRef 8300

Chapter on Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in
Region and Object Tracking, Templates, Template Update, Template Drift .

Last update:Sep 28, 2024 at 17:47:54