16.6.2.13.4 Multi-Object Tracking, Neural Networks, Learning

Chapter Contents (Back)
Target Tracking. Multi-Object Tracking. Multi-Target Tracking. Neural Networks. Learning.

Leung, H.,
Neural-Network Data Association with Application to Multiple-Target Tracking,
OptEng(35), No. 3, March 1996, pp. 693-700. BibRef 9603

García, J.[Jesús], Molina, J.M.[José M.], Besada, J.A.[Juan A.], Portillo, J.I.[Javier I.],
A Multitarget Tracking Video System Based on Fuzzy and Neuro-Fuzzy Techniques,
JASP(2005), No. 14, 2005, pp. 2341-2358.
WWW Link. 0603
BibRef

Humphreys, J.[James], Hunter, A.[Andrew],
Multiple object tracking using a neural cost function,
IVC(27), No. 4, 3 March 2009, pp. 417-424.
Elsevier DOI 0804
Surveillance; Tracking; Background differencing; Self-organizing maps; Neural networks BibRef

Chu, P., Fan, H., Tan, C.C., Ling, H.,
Online Multi-Object Tracking With Instance-Aware Tracker and Dynamic Model Refreshment,
WACV19(161-170)
IEEE DOI 1904
convolutional neural nets, learning (artificial intelligence), object detection, object tracking, target tracking, Optimization BibRef

Xiong, H.K.[Hong-Kai], Zheng, D.[Dayu], Zhu, Q., Wang, B., Zheng, Y.F.[Yuan F.],
A Structured Learning-Based Graph Matching Method for Tracking Dynamic Multiple Objects,
CirSysVideo(23), No. 3, March 2013, pp. 534-548.
IEEE DOI 1303
BibRef
Earlier: A2, A1, A5, Only:
A structured learning-based graph matching for dynamic multiple object tracking,
ICIP11(2333-2336).
IEEE DOI 1201
BibRef

Xie, C.J.[Cheng-Jun], Tan, J.Q.[Jie-Qing], Chen, P.[Peng], Zhang, J.[Jie], He, L.[Lei],
Collaborative object tracking model with local sparse representation,
JVCIR(25), No. 2, 2014, pp. 423-434.
Elsevier DOI 1402
Object tracking BibRef

Xie, C.J.[Cheng-Jun], Tan, J.Q.[Jie-Qing], Chen, P.[Peng], Zhang, J.[Jie], He, L.[Lei],
Multi-scale patch-based sparse appearance model for robust object tracking,
MVA(25), No. 7, October 2014, pp. 1859-1876.
WWW Link. 1410
BibRef

Xie, C.J.[Cheng-Jun], Tan, J.Q.[Jie-Qing], Chen, P.[Peng], Zhang, J.[Jie], He, L.[Lei],
Multiple instance learning tracking method with local sparse representation,
IET-CV(7), No. 5, October 2013, pp. 320-334.
DOI Link 1402
image representation BibRef

Lan, X.Y.[Xiang-Yuan], Ma, A.J.H.[Andy Jin-Hua], Yuen, P.C.[Pong Chi], Chellappa, R.,
Joint Sparse Representation and Robust Feature-Level Fusion for Multi-Cue Visual Tracking,
IP(24), No. 12, December 2015, pp. 5826-5841.
IEEE DOI 1512
BibRef
Earlier: A1, A2, A3, Only:
Multi-cue Visual Tracking Using Robust Feature-Level Fusion Based on Joint Sparse Representation,
CVPR14(1194-1201)
IEEE DOI 1409
feature extraction 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

Liu, J.L.[Jia-Lin], Kong, J.[Jun], Jiang, M.[Min], Liu, T.S.[Tian-Shan],
CALTracker: Cross-Task Association Learning for Multiple Object Tracking,
SPLetters(30), 2023, pp. 1622-1626.
IEEE DOI 2311
BibRef

Zhou, C.[Chen], Jiang, M.[Min], Kong, J.[Jun],
BGTracker: Cross-Task Bidirectional Guidance Strategy for Multiple Object Tracking,
MultMed(25), 2023, pp. 8132-8144.
IEEE DOI 2312
BibRef

Zhang, Y.J.[Ya-Juan], Liang, Y.Q.[Yong-Quan], Leng, J.X.[Jia-Xu], Wang, Z.H.[Zhi-Hui],
SCGTracker: Spatio-temporal correlation and graph neural networks for multiple object tracking,
PR(149), 2024, pp. 110249.
Elsevier DOI 2403
Multiple object tracking, Graph neural networks, Spatio-temporal correlation, Historical trajectory BibRef

Psalta, A.[Athena], Tsironis, V.[Vasileios], Karantzalos, K.[Konstantinos],
Transformer-based assignment decision network for multiple object tracking,
CVIU(241), 2024, pp. 103957.
Elsevier DOI Code:
WWW Link. 2403
Multiple object tracking, MOTChallenge, UA-DETRAC BibRef

Li, Y.F.[Yi-Fan], Ji, H.B.[Hong-Bing], Chen, X.[Xi], Yang, Y.L.[Yong-Liang], Lai, Y.K.[Yu-Kun],
Learning key lines for multi-object tracking,
CVIU(241), 2024, pp. 103973.
Elsevier DOI 2403
Multi-object tracking, Base representation, Key lines BibRef


Ogawa, T.[Takuya], Shibata, T.[Takashi], Hosoi, T.[Toshinori],
FRoG-MOT: Fast and Robust Generic Multiple-Object Tracking by IoU and Motion-State Associations,
WACV24(6549-6558)
IEEE DOI 2404
Deep learning, Target tracking, Correlation, Shape, Benchmark testing, Robustness, Algorithms BibRef

de Plaen, P.F.[Pierre-François], Marinello, N.[Nicola], Proesmans, M.[Marc], Tuytelaars, T.[Tinne], Van Gool, L.J.[Luc J.],
Contrastive Learning for Multi-Object Tracking with Transformers,
WACV24(6853-6863)
IEEE DOI 2404
Training, Training data, Object detection, Self-supervised learning, Detectors, Transformers, Autonomous Driving BibRef

Mazzeo, P.L.[Pier Luigi], Manica, A.[Alessandro], Distante, C.[Cosimo],
UAV Multi-object Tracking by Combining Two Deep Neural Architectures,
CIAP23(I:257-268).
Springer DOI 2312
BibRef

Chen, P.Y.[Ping-Yang], Hsieh, J.W.[Jun-Wei], Chang, M.C.[Ming-Ching], Gochoo, M.[Munkhjargal], Lin, F.P.[Fang-Pang], Chen, Y.S.[Yong-Sheng],
Fisheye Multiple Object Tracking by Learning Distortions Without Dewarping,
ICIP23(1855-1859)
IEEE DOI 2312
BibRef

Lourakis, M.[Manolis], Pateraki, M.[Maria],
Markerless Visual Tracking of a Container Crane Spreader,
CVinHRC21(2579-2586)
IEEE DOI 2112
Image segmentation, Solid modeling, Visualization, Cranes, Tracking, Motion segmentation 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 .


Last update:May 6, 2024 at 15:50:14