16.6.2.3.1 Prediction for Tracking Techniques

Chapter Contents (Back)
Motion Prediction. Motion Model. Prediction.
See also Target Tracking Techniques, Prediction, Trajectory Based.

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SMC-A(28), No. 6, November 1998, pp. 803-810.
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IEEE DOI 1110
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Macwan, A., Vilela, J., Nejat, G., Benhabib, B.,
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Cyber(45), No. 9, September 2015, pp. 1784-1797.
IEEE DOI 1509
multi-robot systems BibRef

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Gan, W.H.[Wei-Hao], Lee, M.S.[Ming-Sui], Wu, C.H.[Chi-Hao], Kuo, C.C.J.[C.C. Jay],
Object tracking with temporal prediction and spatial refinement (TPSR),
SP:IC(47), No. 1, 2016, pp. 303-312.
Elsevier DOI 1610
Visual object tracking BibRef

Gan, W.H.[Wei-Hao], Lee, M.S.[Ming-Sui], Wu, C.H.[Chi-Hao], Kuo, C.C.J.[C.C. Jay],
Online object tracking via motion-guided convolutional neural network (MGNet),
JVCIR(53), 2018, pp. 180-191.
Elsevier DOI 1805
Object tracking, Online tracking, Convolutional neural network, Optical flow, Multi-domain learning BibRef

Huang, S.Y.[Si-Yu], Li, X.[Xi], Zhang, Z.F.[Zhong-Fei], He, Z.Z.[Zhou-Zhou], Wu, F.[Fei], Liu, W.[Wei], Tang, J.H.[Jin-Hui], Zhuang, Y.T.[Yue-Ting],
Deep Learning Driven Visual Path Prediction From a Single Image,
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IEEE DOI 1612
feature extraction BibRef

Liang, N., Wu, G., Kang, W., Wang, Z., Feng, D.D.,
Real-Time Long-Term Tracking With Prediction-Detection-Correction,
MultMed(20), No. 9, September 2018, pp. 2289-2302.
IEEE DOI 1809
computational complexity, computer vision, image motion analysis, learning (artificial intelligence), object detection, dual SVMs BibRef

Wang, J.Z.[Jin-Zhuo], Wang, W.M.[Wen-Min], Gao, W.[Wen],
Predicting Diverse Future Frames With Local Transformation-Guided Masking,
CirSysVideo(29), No. 12, December 2019, pp. 3531-3543.
IEEE DOI 1912
Predictive models, Generators, Task analysis, Visualization, Computational modeling, Complexity theory, Training, video prediction on single frame BibRef

Chen, R.[Rui], Chen, M.J.[Ming-Jian], Li, W.L.[Wan-Li], Guo, N.K.[Nai-Kun],
Predicting Future Locations of Moving Objects by Recurrent Mixture Density Network,
IJGI(9), No. 2, 2020, pp. xx-yy.
DOI Link 2003
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Behrmann, N.[Nadine], Gall, J.[Juergen], Noroozi, M.[Mehdi],
Unsupervised Video Representation Learning by Bidirectional Feature Prediction,
WACV21(1669-1678)
IEEE DOI 2106
Prediction methods, Encoding, Task analysis BibRef

Liu, Y.[Yuan], Li, R.[Ruoteng], Cheng, Y.[Yu], Tan, R.T.[Robby T.], Sui, X.[Xiubao],
Object Tracking Using Spatio-temporal Networks for Future Prediction Location,
ECCV20(XXII:1-17).
Springer DOI 2011
BibRef

Šaric, J., Oršic, M., Antunovic, T., Vražic, S., Šegvic, S.,
Warp to the Future: Joint Forecasting of Features and Feature Motion,
CVPR20(10645-10654)
IEEE DOI 2008
Forecasting, Semantics, Adaptive optics, Optical imaging, Predictive models, Correlation, Casting BibRef

Rempe, D.[Davis], Sridhar, S.[Srinath], Wang, H.[He], Guibas, L.J.[Leonidas J.],
Predicting the Physical Dynamics of Unseen 3D Objects,
WACV20(2823-2832)
IEEE DOI 2006
Shape, Dynamics, Friction, Angular velocity, Robots BibRef

Gao, H.[Hang], Xu, H.Z.[Hua-Zhe], Cai, Q.Z.[Qi-Zhi], Wang, R.[Ruth], Yu, F.[Fisher], Darrell, T.J.[Trevor J.],
Disentangling Propagation and Generation for Video Prediction,
ICCV19(9005-9014)
IEEE DOI 2004
image colour analysis, image motion analysis, image resolution, image sequences, learning (artificial intelligence), neural nets, Standards BibRef

Ye, Y., Singh, M., Gupta, A., Tulsiani, S.,
Compositional Video Prediction,
ICCV19(10352-10361)
IEEE DOI 2004
Code, Motion.
WWW Link. image motion analysis, stochastic processes, video signal processing, realistic stochastic video prediction, Encoding BibRef

Ho, Y., Cho, C., Jin, G., Peng, W.,
SME-Net: Sparse Motion Estimation for Parametric Video Prediction Through Reinforcement Learning,
ICCV19(10461-10469)
IEEE DOI 2004
data compression, image sequences, learning (artificial intelligence), motion compensation, BibRef

Hu, Z., Wang, J.,
A Novel Adversarial Inference Framework for Video Prediction with Action Control,
SDL-CV19(768-772)
IEEE DOI 2004
computer vision, image motion analysis, image representation, image segmentation, image sequences, neural nets, Cycle Consistent BibRef

Hoyer, L., Kesper, P., Khoreva, A., Fischer, V.,
Short-Term Prediction and Multi-Camera Fusion on Semantic Grids,
CVRSUAD19(813-821)
IEEE DOI 2004
cameras, computer vision, decision making, image fusion, image segmentation, image sequences, motion estimation, environment representation BibRef

Sadeghian, A.[Amir], Kosaraju, V.[Vineet], Sadeghian, A.[Ali], Hirose, N.[Noriaki], Rezatofighi, H.[Hamid], Savarese, S.[Silvio],
SoPhie: An Attentive GAN for Predicting Paths Compliant to Social and Physical Constraints,
CVPR19(1349-1358).
IEEE DOI 2002
BibRef

Zhu, D.[Deyao], Munderloh, M.[Marco], Rosenhahn, B.[Bodo], Stückler, J.[Jörg],
Learning to Disentangle Latent Physical Factors for Video Prediction,
GCPR19(595-608).
Springer DOI 1911
BibRef

Baik, S., Kwon, J., Lee, K.M.,
Learning to Remember Past to Predict Future for Visual Tracking,
ICIP19(3068-3072)
IEEE DOI 1910
tracking, neural network BibRef

Singh, G.[Gurkirt], Saha, S.[Suman], Cuzzolin, F.[Fabio],
Predicting Action Tubes,
AnticipateBeh18(III:106-123).
Springer DOI 1905
BibRef

Terwilliger, A.[Adam], Brazil, G.[Garrick], Liu, X.M.[Xiao-Ming],
Recurrent Flow-Guided Semantic Forecasting,
WACV19(1703-1712)
IEEE DOI 1904
Predict future motion. image motion analysis, image segmentation, image sequences, learning (artificial intelligence), Predictive models BibRef

Vukotic, V.[Vedran], Pintea, S.L.[Silvia-Laura], Raymond, C.[Christian], Gravier, G.[Guillaume], van Gemert, J.C.[Jan C.],
One-Step Time-Dependent Future Video Frame Prediction with a Convolutional Encoder-Decoder Neural Network,
CIAP17(I:140-151).
Springer DOI 1711
BibRef

Vondrick, C.[Carl], Torralba, A.B.[Antonio B.],
Generating the Future with Adversarial Transformers,
CVPR17(2992-3000)
IEEE DOI 1711
Generators, Network architecture, Predictive models, Robots, Semantics, Spatial resolution, Visualization BibRef

Zhou, Y.P.[Yi-Pin], Berg, T.L.[Tamara L.],
Learning Temporal Transformations from Time-Lapse Videos,
ECCV16(VIII: 262-277).
Springer DOI 1611
Predict the changes like people do. BibRef

Mottaghi, R.[Roozbeh], Bagherinezhad, H., Rastegari, M.[Mohammad], Farhadi, A.[Ali],
Newtonian Image Understanding: Unfolding the Dynamics of Objects in Static Images,
CVPR16(3521-3529)
IEEE DOI 1612
BibRef

Mottaghi, R.[Roozbeh], Rastegari, M.[Mohammad], Gupta, A.[Abhinav], Farhadi, A.[Ali],
'What Happens If...' Learning to Predict the Effect of Forces in Images,
ECCV16(IV: 269-285).
Springer DOI 1611
BibRef

Ballan, L.[Lamberto], Castaldo, F.[Francesco], Alahi, A.[Alexandre], Palmieri, F.[Francesco], Savarese, S.[Silvio],
Knowledge Transfer for Scene-Specific Motion Prediction,
ECCV16(I: 697-713).
Springer DOI 1611
BibRef

Rodriguez, C.[Cristian], Fernando, B.[Basura], Li, H.D.[Hong-Dong],
Action Anticipation by Predicting Future Dynamic Images,
AnticipateBeh18(III:89-105).
Springer DOI 1905
BibRef

Li, Z.C.[Zhi-Cheng], Qiao, B.[Bing], Deng, S.B.[Shao-Bin],
Color-Based Visual Object Tracking with Prediction and Error Judgment,
CISP09(1-4).
IEEE DOI 0910
BibRef

Rajpurohit, V.S.[Vijay S.], Pai, M.M.M.[M. M. Manohara],
An Optimized Fuzzy Based Short Term Object Motion Prediction for Real-Life Robot Navigation Environment,
Visual08(xx-yy).
Springer DOI 0809
BibRef

Gupta, N., Mittal, P., Patwardhan, K.S., Roy, S.D., Chaudhury, S., Banerjee, S.,
On line predictive appearance-based tracking,
ICIP04(II: 1041-1044).
IEEE DOI 0505
BibRef

Zhou, K.[Kun], Dai, Q.H.[Qiong-Hai], Wu, J.[Jiang], Er, G.H.[Gui-Hua],
Fast tracking of semantic video object based on motion prediction and subregion extraction,
ICIP02(III: 621-624).
IEEE DOI 0210
BibRef

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


Last update:Aug 2, 2021 at 20:26:03