Zhou, L.Y.[Liu-Yang],
Lu, Z.W.[Zhi-Wu],
Leung, H.[Howard],
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Wang, C.J.[Cheng-Jie],
Li, J.L.[Ji-Lin],
Huang, F.Y.[Fei-Yue],
Leung, H.[Howard],
Adversarial Refinement Network for Human Motion Prediction,
ACCV20(II:454-469).
Springer DOI
2103
BibRef
Wang, H.S.[Hong-Song],
Dong, J.[Jian],
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Feng, J.S.[Jia-Shi],
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IP(30), 2021, pp. 6096-6106.
IEEE DOI
2107
Hidden Markov models, Quaternions, Predictive models, Decoding,
Dynamics, Recurrent neural networks, Human motion prediction,
quaternion transformation
BibRef
Wang, H.S.[Hong-Song],
Wang, L.[Liang],
Feng, J.S.[Jia-Shi],
Zhou, D.Q.[Da-Quan],
Velocity-to-velocity human motion forecasting,
PR(124), 2022, pp. 108424.
Elsevier DOI
2203
Human motion prediction, Action anticipation
BibRef
Men, Q.H.[Qian-Hui],
Ho, E.S.L.[Edmond S. L.],
Shum, H.P.H.[Hubert P. H.],
Leung, H.[Howard],
A Quadruple Diffusion Convolutional Recurrent Network for Human
Motion Prediction,
CirSysVideo(31), No. 9, September 2021, pp. 3417-3432.
IEEE DOI
2109
Dynamics, Predictive models, Adaptation models,
Hidden Markov models, Computational modeling,
bi-directional predictor
BibRef
Xu, Q.[Qing],
Wu, H.R.[Hao-Ran],
Wang, J.Q.[Jian-Qiang],
Xiong, H.[Hui],
Liu, J.X.[Jin-Xin],
Li, K.Q.[Ke-Qiang],
Roadside pedestrian motion prediction using Bayesian methods and
particle filter,
IET-ITS(15), No. 9, 2021, pp. 1167-1182.
DOI Link
2108
BibRef
Li, B.,
Tian, J.,
Zhang, Z.,
Feng, H.,
Li, X.,
Multitask Non-Autoregressive Model for Human Motion Prediction,
IP(30), 2021, pp. 2562-2574.
IEEE DOI
2102
Skeleton, Decoding, Predictive models, Task analysis,
Image color analysis, Image coding, Discrete cosine transforms,
multitask learning
BibRef
Dai, J.[Ju],
Li, H.[Hao],
Zeng, R.[Rui],
Bai, J.X.[Jun-Xuan],
Zhou, F.[Feng],
Pan, J.J.[Jun-Jun],
KD-Former: Kinematic and dynamic coupled transformer network for 3D
human motion prediction,
PR(143), 2023, pp. 109806.
Elsevier DOI
2310
Human motion prediction, Motion kinematics, Motion dynamics, Transformer
BibRef
Jin, X.[Xin],
Guo, J.[Jia],
Regressive Gaussian Process Latent Variable Model for Few-Frame Human
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IEICE(E106-D), No. 10, October 2023, pp. 1621-1626.
WWW Link.
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Chen, H.P.[Hai-Peng],
Hu, J.[Jiahui],
Zhang, W.[Wenyin],
Su, P.X.[Peng-Xiang],
Spatiotemporal Consistency Learning from Momentum Cues for Human
Motion Prediction,
CirSysVideo(33), No. 9, September 2023, pp. 4577-4587.
IEEE DOI
2310
BibRef
Yu, H.[Hua],
Fan, X.[Xuanzhe],
Hou, Y.Q.[Ya-Qing],
Pei, W.B.[Wen-Bin],
Ge, H.W.[Hong-Wei],
Yang, X.[Xin],
Zhou, D.S.[Dong-Sheng],
Zhang, Q.[Qiang],
Zhang, M.J.[Meng-Jie],
Toward Realistic 3D Human Motion Prediction With a Spatio-Temporal
Cross- Transformer Approach,
CirSysVideo(33), No. 10, October 2023, pp. 5707-5720.
IEEE DOI
2310
BibRef
Xing, H.Q.[Hui-Qin],
Zhou, Y.C.[Yi-Cong],
Yang, J.Y.[Jian-Yu],
Xiao, Y.[Yang],
Learning full context feature for human motion prediction,
JVCIR(97), 2023, pp. 103955.
Elsevier DOI
2312
Human motion prediction, Context feature, Motion constraint, Dictionary
BibRef
Tang, J.[Jin],
Zhang, J.[Jin],
Ding, R.[Rui],
Gu, B.[Baoxuan],
Yin, J.Q.[Jian-Qin],
Collaborative Multi-Dynamic Pattern Modeling for Human Motion
Prediction,
CirSysVideo(33), No. 8, August 2023, pp. 3689-3700.
IEEE DOI
2308
Trajectory, Computational modeling, Feature extraction, Dynamics,
Integrated circuit modeling, Task analysis, Predictive models,
human motion prediction
BibRef
Lee, M.L.[Meng-Lun],
Liu, W.[Wansong],
Behdad, S.[Sara],
Liang, X.[Xiao],
Zheng, M.H.[Ming-Hui],
Robot-Assisted Disassembly Sequence Planning With Real-Time Human
Motion Prediction,
SMCS(53), No. 1, January 2023, pp. 438-450.
IEEE DOI
2301
Task analysis, Robots, Planning, Safety, Costs, Real-time systems,
Collaboration, Disassembly sequence planning,
receding horizon
BibRef
Zhong, J.Q.[Jian-Qi],
Cao, W.M.[Wen-Ming],
Geometric algebra-based multiview interaction networks for 3D human
motion prediction,
PR(138), 2023, pp. 109427.
Elsevier DOI
2303
Human motion prediction, Geometric algebra, Motion generation
BibRef
Chen, Y.[Yang],
Liu, H.[Hong],
Song, P.[Pinhao],
Li, W.H.[Wen-Hao],
Neural ordinary differential equation for irregular human motion
prediction,
PRL(178), 2024, pp. 76-83.
Elsevier DOI
2402
Human motion prediction,
Neural ordinary differential equation, Irregular time series
BibRef
Gao, X.H.[Xue-Hao],
Yang, Y.[Yang],
Wu, Y.[Yang],
Du, S.[Shaoyi],
Qi, G.J.[Guo-Jun],
Multi-Condition Latent Diffusion Network for Scene-Aware Neural Human
Motion Prediction,
IP(33), 2024, pp. 3907-3920.
IEEE DOI
2407
Feature extraction, Task analysis, Context modeling, Trajectory,
Proposals, Probabilistic logic, 3D human motion prediction,
multi-condition inference
BibRef
Yang, S.[Shubo],
Li, H.[Haolun],
Pun, C.M.[Chi-Man],
Du, C.[Chun],
Gao, H.[Hao],
Adaptive Spatial-Temporal Graph-Mixer for Human Motion Prediction,
SPLetters(31), 2024, pp. 1244-1248.
IEEE DOI
2405
Skeleton, Feature extraction, Convolution, Topology, Correlation,
Prediction algorithms, Adaptive systems, Adaptive learning,
graph convolution
BibRef
Du, X.[Xin],
Wang, Y.[Yong],
Li, Z.Y.[Zong-Ying],
Yan, S.[Sheng],
Liu, M.Y.[Meng-Yuan],
TFAN: Twin-Flow Axis Normalization for Human Motion Prediction,
SPLetters(31), 2024, pp. 486-490.
IEEE DOI
2402
Bones, Hidden Markov models, Joints, Predictive models,
Discrete cosine transforms, Data models, Motion prediction,
normalization method
BibRef
Deng, T.H.[Teng-Hao],
Sun, Y.[Yan],
Recent advances in deterministic human motion prediction: A review,
IVC(143), 2024, pp. 104926.
Elsevier DOI
2403
Survey, Human Motion. Survey, Human motion prediction, Deep learning
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Lovanshi, M.[Mayank],
Tiwari, V.[Vivek],
Ingle, R.[Rajesh],
Jain, S.[Swati],
Fusion of Temporal Transformer and Spatial Graph Convolutional
Network for 3-D Skeleton-Parts-Based Human Motion Prediction,
HMS(54), No. 6, December 2024, pp. 788-797.
IEEE DOI
2412
Predictive models, Discrete cosine transforms, Transformers,
Skeleton, Feature extraction, Motion capture,
temporal transformer (T-Transformer)
BibRef
Kim, S.[Sanghwan],
Huang, D.[Daoji],
Xian, Y.Q.[Yong-Qin],
Hilliges, O.[Otmar],
Van Gool, L.J.[Luc J.],
Wang, X.[Xi],
PALM: Predicting Actions through Language Models,
ECCV24(LXXXII: 140-158).
Springer DOI
2412
BibRef
Cheng, K.[Keyang],
Zou, W.X.[Wen-Xuan],
Gu, H.J.[Hong-Jian],
Ouyang, A.[Anxiang],
BAMG: Text-based Person Re-identification via Bottlenecks Attention and
Masked Graph Modeling,
ACCV24(VIII: 384-401).
Springer DOI
2412
BibRef
Cui, Q.J.[Qiong-Jie],
Sun, H.J.[Huai-Jiang],
Li, W.Q.[Wei-Qing],
Lu, J.F.[Jian-Feng],
Li, B.[Bin],
Human Motion Forecasting in Dynamic Domain Shifts:
A Homeostatic Continual Test-time Adaptation Framework,
ECCV24(XXXI: 435-453).
Springer DOI
2412
BibRef
Xing, C.Y.[Chao-Yue],
Mao, W.[Wei],
Liu, M.M.[Miao-Miao],
Scene-aware Human Motion Forecasting via Mutual Distance Prediction,
ECCV24(XXXIX: 128-144).
Springer DOI
2412
BibRef
Wei, D.[Dong],
Sun, H.[Huaijiang],
Sun, X.N.[Xiao-Ning],
Hu, S.X.[Sheng-Xiang],
Nermo: Learning Implicit Neural Representations for 3d Human Motion
Prediction,
ECCV24(XLIV: 409-427).
Springer DOI
2412
BibRef
Zhang, H.S.[Hao-Song],
Leong, M.C.[Mei Chee],
Li, L.Y.[Li-Yuan],
Lin, W.S.[Wei-Si],
RD-DIFF: Rltransformer-Based Diffusion Model with Diversity-inducing
Modulator for Human Motion Prediction,
ACCV24(I: 203-224).
Springer DOI
2412
BibRef
Sun, J.R.[Jia-Rui],
Chowdhary, G.[Girish],
Comusion: Towards Consistent Stochastic Human Motion Prediction via
Motion Diffusion,
ECCV24(LXIII: 18-36).
Springer DOI
2412
BibRef
Xu, G.W.[Guo-Wei],
Tao, J.[Jiale],
Li, W.[Wen],
Duan, L.X.[Li-Xin],
Learning Semantic Latent Directions for Accurate and Controllable Human
Motion Prediction,
ECCV24(XXI: 56-73).
Springer DOI
2412
BibRef
Zheng, Z.Y.[Zi-Yang],
Ren, Z.L.[Zi-Liang],
Liang, Z.H.[Zhan-Hao],
Wang, G.[Gulin],
Zhang, Q.S.[Qie-Shi],
MSGAT: Multi-Stage Graph Attention Network for Human Motion
Prediction,
ICIP24(2306-2312)
IEEE DOI Code:
WWW Link.
2411
Convolutional codes, Solid modeling, Distributed processing,
Attention mechanisms, Graph convolutional networks,
Attention Mechanism
BibRef
Yue, J.[Jiangbei],
Li, B.[Baiyi],
Petrré, J.[Julien],
Seyfried, A.[Armin],
Wang, H.[He],
Human Motion Prediction Under Unexpected Perturbation,
CVPR24(1501-1511)
IEEE DOI
2410
Deep learning, Adaptation models, Accuracy, Perturbation methods,
Closed box, Artificial neural networks, Human Motion Prediction,
Unexpected Perturbation
BibRef
Sun, X.N.[Xiao-Ning],
Sun, H.[Huaijiang],
Li, B.[Bin],
Wei, D.[Dong],
Li, W.Q.[Wei-Qing],
Lu, J.F.[Jian-Feng],
MoML: Online Meta Adaptation for 3D Human Motion Prediction,
CVPR24(1042-1051)
IEEE DOI
2410
Adaptation models, Accuracy, Closed-form solutions, Transforms,
Predictive models, Real-time systems, Human motion modeling, meta-learning
BibRef
Chen, H.P.[Hai-Peng],
Lyu, K.[Kedi],
Liu, Z.G.[Zhen-Guang],
Yin, Y.F.[Yi-Fang],
Yang, X.[Xun],
Lyu, Y.[Yingda],
Rethinking Human Motion Prediction with Symplectic Integral,
CVPR24(2134-2143)
IEEE DOI
2410
Solid modeling, Accuracy, Predictive models, Prediction algorithms,
Stability analysis, Numerical models, Human motion prediction
BibRef
Zhang, J.H.[Jian-Hua],
Zhou, H.Y.[Hui-Yu],
Lv, N.[Na],
Adaptive Spatial-Temporal Modelling for Human Motion Prediction,
ICIP24(3580-3586)
IEEE DOI
2411
Adaptation models, Adaptive systems, Filters, Convolution,
Time series analysis, Predictive models, Feature extraction, self-attention
BibRef
Nakatsuka, C.[Chihiro],
Komorita, S.[Satoshi],
Consistent and Diverse Human Motion Prediction Using Conditional
Variational Autoencoder with Context-Aware Latent Space,
ICIP23(1965-1969)
IEEE DOI
2312
BibRef
Engilberge, M.[Martin],
Liu, W.Z.[Wei-Zhe],
Fua, P.[Pascal],
Multi-view Tracking Using Weakly Supervised Human Motion Prediction,
WACV23(1582-1592)
IEEE DOI
2302
Tracking, Computational modeling,
Algorithms: Video recognition and understanding (tracking
BibRef
de Almeida, T.R.[Tiago Rodrigues],
Rudenko, A.[Andrey],
Schreiter, T.[Tim],
Zhu, Y.F.[Yu-Fei],
Maestro, E.G.[Eduardo Gutierrez],
Morillo-Mendez, L.[Lucas],
Kucner, T.P.[Tomasz P.],
Mozos, O.M.[Oscar Martinez],
Magnusson, M.[Martin],
Palmieri, L.[Luigi],
Arras, K.O.[Kai O.],
Lilienthal, A.J.[Achim J.],
THÖR-Magni: Comparative Analysis of Deep Learning Models for
Role-conditioned Human Motion Prediction,
JRDB23(2192-2201)
IEEE DOI
2401
BibRef
Gao, X.H.[Xue-Hao],
Du, S.[Shaoyi],
Wu, Y.[Yang],
Yang, Y.[Yang],
Decompose More and Aggregate Better: Two Closer Looks at Frequency
Representation Learning for Human Motion Prediction,
CVPR23(6451-6460)
IEEE DOI
2309
BibRef
Chen, L.H.[Ling-Hao],
Zhang, J.W.[Jia-Wei],
Li, Y.[Yewen],
Pang, Y.[Yiren],
Xia, X.B.[Xiao-Bo],
Liu, T.L.[Tong-Liang],
HumanMAC: Masked Motion Completion for Human Motion Prediction,
ICCV23(9510-9521)
IEEE DOI Code:
WWW Link.
2401
BibRef
Guo, W.[Wen],
Du, Y.M.[Yu-Ming],
Shen, X.[Xi],
Lepetit, V.[Vincent],
Alameda-Pineda, X.[Xavier],
Moreno-Noguer, F.[Francesc],
Back to MLP: A Simple Baseline for Human Motion Prediction,
WACV23(4798-4808)
IEEE DOI
2302
Training, Recurrent neural networks, Deep architecture,
Transformers, Discrete cosine transforms,
3D computer vision
BibRef
Mao, W.[Wei],
Liu, M.M.[Miao-Miao],
Salzmann, M.[Mathieu],
Weakly-supervised Action Transition Learning for Stochastic Human
Motion Prediction,
CVPR22(8141-8150)
IEEE DOI
2210
Training, Stochastic processes, Training data, Predictive models,
Transformers, Encoding, Trajectory, Motion and tracking,
Action and event recognition
BibRef
Medjaouri, O.[Omar],
Desai, K.[Kevin],
HR-STAN: High-Resolution Spatio-Temporal Attention Network for 3D
Human Motion Prediction,
Precognition22(2539-2548)
IEEE DOI
2210
Costs, Dynamics, Predictive models
BibRef
Maeda, T.[Takahiro],
Ukita, N.[Norimichi],
MotionAug: Augmentation with Physical Correction for Human Motion
Prediction,
CVPR22(6417-6426)
IEEE DOI
2210
Training, Convolutional codes, Recurrent neural networks, Tracking,
Force, Graphics processing units, Kinematics, Motion and tracking
BibRef
Ma, T.Z.[Tie-Zheng],
Nie, Y.W.[Yong-Wei],
Long, C.J.[Cheng-Jiang],
Zhang, Q.[Qing],
Li, G.Q.[Gui-Qing],
Progressively Generating Better Initial Guesses Towards Next Stages
for High-Quality Human Motion Prediction,
CVPR22(6427-6436)
IEEE DOI
2210
Convolutional codes, Smoothing methods, Tracking, Face recognition,
Performance gain, Feature extraction, Spatiotemporal phenomena,
Face and gestures
BibRef
Xu, S.[Sirui],
Wang, Y.X.[Yu-Xiong],
Gui, L.Y.[Liang-Yan],
Diverse Human Motion Prediction Guided by Multi-level Spatial-Temporal
Anchors,
ECCV22(XXII:251-269).
Springer DOI
2211
BibRef
Ma, H.[Hengbo],
Li, J.C.[Jia-Chen],
Hosseini, R.[Ramtin],
Tomizuka, M.[Masayoshi],
Choi, C.[Chiho],
Multi-Objective Diverse Human Motion Prediction with Knowledge
Distillation,
CVPR22(8151-8161)
IEEE DOI
2210
Training, Service robots, Machine vision, Predictive models,
Transformers, Graph neural networks, Vision applications and systems
BibRef
Zhong, C.Y.[Chong-Yang],
Hu, L.[Lei],
Zhang, Z.H.[Zi-Hao],
Ye, Y.J.[Yong-Jing],
Xia, S.H.[Shi-Hong],
Spatio-Temporal Gating-Adjacency GCN for Human Motion Prediction,
CVPR22(6437-6446)
IEEE DOI
2210
Graphics, Adaptation models, Adaptive systems, Tracking,
Computational modeling, Instruments, Motion and tracking, Vision + graphics
BibRef
Cui, Q.J.[Qiong-Jie],
Sun, H.J.[Huai-Jiang],
Towards Accurate 3D Human Motion Prediction from Incomplete
Observations,
CVPR21(4799-4808)
IEEE DOI
2111
Graphics, Solid modeling, Predictive models, Prediction algorithms
BibRef
Aksan, E.[Emre],
Kaufmann, M.[Manuel],
Cao, P.[Peng],
Hilliges, O.[Otmar],
A Spatio-temporal Transformer for 3D Human Motion Prediction,
3DV21(565-574)
IEEE DOI
2201
Solid modeling, Codes, Frequency-domain analysis, Dynamics,
Predictive models, Transformers, 3D human motion modelling,
Self attention
BibRef
Aksan, E.,
Kaufmann, M.,
Hilliges, O.,
Structured Prediction Helps 3D Human Motion Modelling,
ICCV19(7143-7152)
IEEE DOI
2004
Code, Human Motion.
WWW Link. feature extraction, graph theory,
image motion analysis, learning (artificial intelligence), Kinematics
BibRef
Aliakbarian, S.[Sadegh],
Saleh, F.[Fatemeh],
Petersson, L.[Lars],
Gould, S.[Stephen],
Salzmann, M.[Mathieu],
Contextually Plausible and Diverse 3D Human Motion Prediction,
ICCV21(11313-11322)
IEEE DOI
2203
Tracking, Semantics, Forecasting, Task analysis,
Gestures and body pose,
BibRef
Chopin, B.[Baptiste],
Otberdout, N.[Naima],
Daoudi, M.[Mohamed],
Bartolo, A.[Angela],
Human Motion Prediction Using Manifold-Aware Wasserstein GAN,
FG21(1-8)
IEEE DOI
2303
Training, Manifolds, Solid modeling, Face recognition, Gesture recognition
BibRef
Aliakbarian, S.[Sadegh],
Saleh, F.S.[Fatemeh Sadat],
Salzmann, M.[Mathieu],
Petersson, L.[Lars],
Gould, S.[Stephen],
A Stochastic Conditioning Scheme for Diverse Human Motion Prediction,
CVPR20(5222-5231)
IEEE DOI
2008
Perturbation methods, Stochastic processes, Decoding, Training,
Predictive models, Task analysis, Diversity reception
BibRef
Yuan, Y.[Ye],
Kitani, K.M.[Kris M.],
DLOW: Diversifying Latent Flows for Diverse Human Motion Prediction,
ECCV20(IX:346-364).
Springer DOI
2011
BibRef
Cao, Z.[Zhe],
Gao, H.[Hang],
Mangalam, K.[Karttikeya],
Cai, Q.Z.[Qi-Zhi],
Vo, M.[Minh],
Malik, J.[Jitendra],
Long-term Human Motion Prediction with Scene Context,
ECCV20(I:387-404).
Springer DOI
2011
BibRef
Cai, Y.J.[Yu-Jun],
Huang, L.[Lin],
Wang, Y.W.[Yi-Wei],
Cham, T.J.[Tat-Jen],
Cai, J.F.[Jian-Fei],
Yuan, J.S.[Jun-Song],
Liu, J.[Jun],
Yang, X.[Xu],
Zhu, Y.H.[Yi-Heng],
Shen, X.H.[Xiao-Hui],
Liu, D.[Ding],
Liu, J.[Jing],
Magnenat-Thalmann, N.[Nadia],
Learning Progressive Joint Propagation for Human Motion Prediction,
ECCV20(VII:226-242).
Springer DOI
2011
BibRef
Mao, W.,
Liu, M.,
Salzmann, M.,
Li, H.,
Learning Trajectory Dependencies for Human Motion Prediction,
ICCV19(9488-9496)
IEEE DOI
2004
Code, Human Motion.
WWW Link. graph theory, image motion analysis, image representation,
learning (artificial intelligence), pose estimation,
Hidden Markov models
BibRef
Gopalakrishnan, A.[Anand],
Mali, A.[Ankur],
Kifer, D.[Dan],
Giles, L.[Lee],
Ororbia, A.G.[Alexander G.],
A Neural Temporal Model for Human Motion Prediction,
CVPR19(12108-12117).
IEEE DOI
2002
BibRef
Xu, Y.T.[Yi Tian],
Li, Y.Q.[Ya-Qiao],
Meger, D.[David],
Human Motion Prediction Via Pattern Completion in Latent
Representation Space,
CRV19(57-64)
IEEE DOI
1908
Decoding, Task analysis, Predictive models, Encoding,
Standards, Cognitive science,
Representation Learning
BibRef
Barsoum, E.,
Kender, J.,
Liu, Z.,
HP-GAN: Probabilistic 3D Human Motion Prediction via GAN,
Joint18(1499-149909)
IEEE DOI
1812
Predictive models,
Generative adversarial networks, Probabilistic logic, Generators,
Prediction algorithms
BibRef
Gui, L.Y.[Liang-Yan],
Wang, Y.X.[Yu-Xiong],
Ramanan, D.[Deva],
Moura, J.M.F.[José M. F.],
Few-Shot Human Motion Prediction via Meta-learning,
ECCV18(VIII: 441-459).
Springer DOI
1810
BibRef
Gui, L.Y.[Liang-Yan],
Wang, Y.X.[Yu-Xiong],
Liang, X.D.[Xiao-Dan],
Moura, J.M.F.[José M. F.],
Adversarial Geometry-Aware Human Motion Prediction,
ECCV18(II: 823-842).
Springer DOI
1810
BibRef
Martinez, J.,
Black, M.J.,
Romero, J.,
On Human Motion Prediction Using Recurrent Neural Networks,
CVPR17(4674-4683)
IEEE DOI
1711
Hidden Markov models, Mathematical model, Predictive models,
Recurrent neural networks, Training, Visualization
BibRef
Bütepage, J.,
Black, M.J.,
Kragic, D.[Danica],
Kjellström, H.[Hedvig],
Deep Representation Learning for Human Motion Prediction and
Classification,
CVPR17(1591-1599)
IEEE DOI
1711
Computational modeling, Correlation, Decoding, Encoding,
Feature extraction, Hidden, Markov, models
BibRef
Kjellstrom, H.[Hedvig],
Kragic, D.[Danica],
Black, M.J.[Michael J.],
Tracking people interacting with objects,
CVPR10(747-754).
IEEE DOI
1006
BibRef
Ardiyanto, I.[Igi],
Miura, J.[Jun],
Human motion prediction considering environmental context,
MVA15(390-393)
IEEE DOI
1507
Context
BibRef
Chapter on Motion -- Human Motion, Surveillance, Tracking, Surveillance, Activities continues in
Tracking People, Human Tracking, Pedestrian Tracking .