17.1.3.6.19 Articulatd Action Recognition

Chapter Contents (Back)
Action Recognition. Action Detection. Articulated Action. Human Pose:
See also Articulated Human Pose Desicriptions.

Holt, R.J.[Robert J.], Huang, T.S.[Thomas S.], Netravali, A.N.[Arun N.], Qian, R.J.[Richard J.],
Determining Articulated Motion from Perspective Views: A Decomposition Approach,
PR(30), No. 9, September 1997, pp. 1435-1449.
Elsevier DOI 9708
BibRef
Earlier: Non-Rigid94(126-137). BibRef

Pan, H.L.[Hai-Lang], Liu, Y.C.[Yun-Cai],
Motion estimation of elastic articulated objects from points and contours with volume invariable constraint,
PR(41), No. 2, February 2008, pp. 458-467.
Elsevier DOI 0711
Elastic articulated objects; Human body modeling; Revolving conic surfaces; Motion estimation BibRef

Zhao, X.[Xu], Liu, Y.C.[Yun-Cai],
Generative tracking of 3D human motion by hierarchical annealed genetic algorithm,
PR(41), No. 8, August 2008, pp. 2470-2483.
Elsevier DOI 0805
Human motion analysis; Monocular images; Generative model; Evolutionary algorithm; 3D human tracking; Optimal tracking BibRef

Zhang, X.Y.[Xiao-Yun], Liu, Y.C.[Yun-Cai], Huang, T.S.[Thomas S.],
Motion Estimation of Articulated Objects from Perspective Views,
AMDO02(165 ff.).
Springer DOI 0303
BibRef

Qian, R.J., Huang, T.S.,
Robust and Accurate Image Segmentation Using Deformable Templates in Scale Space,
SCV95(206-211).
IEEE DOI University of Illinois at Urbana-Champaign. BibRef 9500

Delamarre, Q.[Quentin], Faugeras, O.D.[Olivier D.],
3D Articulated Models and Multiview Tracking with Physical Forces,
CVIU(81), No. 3, March 2001, pp. 328-357.
DOI Link 0001
BibRef
Earlier:
3D Articulated Models and Multi-View Tracking with Silhouettes,
ICCV99(716-721).
IEEE DOI BibRef

Artner, N.M.[Nicole M.], Ion, A.[Adrian], Kropatsch, W.G.[Walter G.],
Multi-scale 2D tracking of articulated objects using hierarchical spring systems,
PR(44), No. 4, April 2011, pp. 800-810.
Elsevier DOI 1101
BibRef
And: Reprint: PR(44), No. 9, September 2011, pp. 1969-1979.
Elsevier DOI 1106
BibRef
Earlier:
Coarse-to-Fine Tracking of Articulated Objects Using a Hierarchical Spring System,
CAIP09(1011-1018).
Springer DOI 0909
BibRef
And:
Tracking Objects beyond Rigid Motion,
GbRPR09(82-91).
Springer DOI 0905
2D tracking; Articulated objects; Hierarchical spring system
See also Matching 2D and 3D articulated shapes using the eccentricity transform. BibRef

Artner, N.M.[Nicole M.], Ion, A.[Adrian], Kropatsch, W.G.[Walter G.],
Hierarchical spatio-temporal extraction of models for moving rigid parts,
PRL(32), No. 16, 1 December 2011, pp. 2239-2249.
Elsevier DOI 1112
Rigid parts; Articulated objects; Model extraction; Graph pyramid BibRef

Kropatsch, W.G.[Walter G.], Ion, A.[Adrian], Artner, N.M.[Nicole M.],
Describing When and Where in Vision,
CIARP11(25).
Springer DOI 1111
BibRef

Artner, N.M.[Nicole M.], Mármol, S.B.L.[Salvador B. López], Beleznai, C.[Csaba], Kropatsch, W.G.[Walter G.],
Tracking by Hierarchical Representation of Target Structure,
SSPR08(441-450).
Springer DOI 0812
BibRef

Ion, A.[Adrian], Haxhimusa, Y.[Yll], Kropatsch, W.G.[Walter G.], Marmol, S.B.L.[Salvador B. Lopez],
A coordinate system for articulated 2D shape point correspondences,
ICPR08(1-4).
IEEE DOI 0812
BibRef

Mateos, L.A.[Luis A.], Shao, D.[Dan], Kropatsch, W.G.[Walter G.],
Expanding Irregular Graph Pyramid for an Approaching Object,
CIARP09(885-891).
Springer DOI 0911
Update the model with changes during tracking. BibRef

Sundaresan, A.[Aravind], Chellappa, R.[Rama],
Model Driven Segmentation of Articulating Humans in Laplacian Eigenspace,
PAMI(30), No. 10, October 2008, pp. 1771-1785.
IEEE DOI 0810
BibRef
Earlier:
Segmentation and Probabilistic Registration of Articulated Body Models,
ICPR06(II: 92-96).
IEEE DOI 0609
Laplacian Eigenmaps map voxels to nodes on 1D curves which are compared, graphical model. BibRef

Sundaresan, A.[Aravind], Chellappa, R.[Rama],
Multicamera Tracking of Articulated Human Motion Using Shape and Motion Cues,
IP(18), No. 9, September 2009, pp. 2114-2126.
IEEE DOI 0909
BibRef
Earlier:
Acquisition of Articulated Human Body Models Using Multiple Cameras,
AMDO06(78-89).
Springer DOI 0607
BibRef
Earlier:
Multi-camera Tracking of Articulated Human Motion Using Motion and Shape Cues,
ACCV06(II:131-140).
Springer DOI 0601
BibRef

Wu, X.X.[Xin-Xiao], Liang, W.[Wei], Jia, Y.D.[Yun-De],
Tracking articulated objects by learning intrinsic structure of motion,
PRL(30), No. 3, 1 February 2009, pp. 267-274.
Elsevier DOI 0804
Articulated objects tracking; Non-linear manifold learning Apply dimensionality reduction to human body matching. BibRef

Guo, Y.[Yao], Li, Y.F.[You-Fu], Shao, Z.P.[Zhan-Peng],
DSRF: A flexible trajectory descriptor for articulated human action recognition,
PR(76), No. 1, 2018, pp. 137-148.
Elsevier DOI 1801
Articulated human action recognition BibRef

Liu, L.[Long], Yang, L.[Le], Chen, W.[Wanjun], Gao, X.[Xin],
Dual-view 3D human pose estimation without camera parameters for action recognition,
IET-IPR(15), No. 14, 2021, pp. 3433-3440.
DOI Link 2112
BibRef


Liu, J.Y.[Jia-Yi], Mahdavi-Amiri, A.[Ali], Savva, M.[Manolis],
PARIS: Part-level Reconstruction and Motion Analysis for Articulated Objects,
ICCV23(352-363)
IEEE DOI 2401
BibRef

Chu, R.[Ruihang], Liu, Z.Z.[Zheng-Zhe], Ye, X.Q.[Xiao-Qing], Tan, X.[Xiao], Qi, X.J.[Xiao-Juan], Fu, C.W.[Chi-Wing], Jia, J.Y.[Jia-Ya],
Command-driven Articulated Object Understanding and Manipulation,
CVPR23(8813-8823)
IEEE DOI 2309
BibRef

Anciukevicius, T.[Titas], Henderson, P.[Paul], Bilen, H.[Hakan],
Learning to Predict Keypoints and Structure of Articulated Objects without Supervision,
ICPR22(3383-3390)
IEEE DOI 2212
Training, Transforms, Manuals, Predictive models, Cognition, Joints BibRef

Gärtner, E.[Erik], Andriluka, M.[Mykhaylo], Coumans, E.[Erwin], Sminchisescu, C.[Cristian],
Differentiable Dynamics for Articulated 3d Human Motion Reconstruction,
CVPR22(13180-13190)
IEEE DOI 2210
Solid modeling, Dynamics, Robustness, Pattern recognition, Motion analysis, Pose estimation and tracking, Motion and tracking BibRef

Mo, K.[Kaichun], Guibas, L.J.[Leonidas J.], Mukadam, M.[Mustafa], Gupta, A.[Abhinav], Tulsiani, S.[Shubham],
Where2Act: From Pixels to Actions for Articulated 3D Objects,
ICCV21(6793-6803)
IEEE DOI 2203
Interactions for articulated agents. Visualization, Motion segmentation, Force, Neural networks, Network architecture, Data models, Segmentation, Vision for robotics and autonomous vehicles BibRef

Park, H.S.[Hyun Soo], Sheikh, Y.[Yaser],
3D reconstruction of a smooth articulated trajectory from a monocular image sequence,
ICCV11(201-208).
IEEE DOI 1201
BibRef

Gao, J.[Jiang], Collins, R.T.[Robert T.], Hauptmann, A.G.[Alexander G.], Wactlar, H.D.[Howard D.],
Articulated Motion Modeling for Activity Analysis,
Non-Rigid04(20).
IEEE DOI 0502
BibRef

Atine, J.C.[Jean-Charles],
People Action Recognition in Image Sequences Using a 3D Articulated Object,
ICIAR04(I: 769-777).
Springer DOI 0409
BibRef

Lin, M.,
Tracking Articulated Objects in Real-Time Range Image Sequences,
ICCV99(648-653).
IEEE DOI BibRef 9900

Chapter on Motion -- Human Motion, Surveillance, Tracking, Surveillance, Activities continues in
Human Action Recognition and Detection Using Depth, RGB-D, Kinect .


Last update:Apr 18, 2024 at 11:38:49