Baker, H.H., and
Garvey, T.D.,
Motion Tracking on the Spatiotemporal Surface,
DARPA92(451-457).
BibRef
9200
Earlier:
Motion91(340-345).
Generation of spatio-temporal surfaces by tracking through the sequence.
BibRef
Baker, H.H.,
Bolles, R.C., and
Marimont, D.H.,
Generalizing Epipolar-Plane Image Analysis for Non-Orthogonal
and Varying View Directions,
DARPA87(843-848).
The beginnings of the work on extending the method to more
realistic paths.
BibRef
8700
Baker, H.H., and
Bolles, R.C.,
Generalizing Epipolar-Plane
Image Analysis on the Spatiotemporal Surface,
IJCV(3), No. 1. May 1989, pp. 33-49.
BibRef
8905
And:
DARPA88(1022-1030).
BibRef
And:
CVPR88(2-9).
IEEE DOI Generate spatiotemporal surfaces using 3-D spatiotemporal
Laplacian for tracking surfaces.
BibRef
Yasuno, T.,
Hamano, T.,
Three-Dimensional Reconstruction Using Homocentric
Spherical Spatiotemporal Image Analysis,
JVCIR(2), 1991, pp. 365-372.
BibRef
9100
Morikawa, H.,
Harashima, H.,
3D Structure Extraction Coding of Image Sequences,
JVCIR(2), 1991, pp. 332-344.
BibRef
9100
Peng, S.L., and
Medioni, G.G.,
Interpretation of Image Sequence by Spatio-Temporal Analysis,
Motion89(344-351).
BibRef
8900
USC Computer Vision
BibRef
Earlier:
Spatio-Temporal Analysis for Velocity Estimation of Contours in
an Image Sequence with Occlusion,
ICPR88(I: 236-241).
IEEE DOI
BibRef
And:
Spatio-Temporal Analysis of an Image Sequence with Occlusion,
DARPA88(433-442).
BibRef
Earlier:
Using the Spatio-Temporal Volume for Motion Segmentation,
USC_IRIS205, January 1987.
BibRef
USC Computer VisionTrace 3-D paths (X,Y,T) of boundary elements for
motion analysis. Explicitly use the occluding boundaries to break the optic
flow like computation.
BibRef
Peng, S.L.,
Temporal Slice Analysis of Image Sequences,
CVPR91(283-288).
IEEE DOI
BibRef
9100
And:
Temporal Sequence Analysis Using Temporal Slices,
USC_IRISTR-265, January 1991,
BibRef
Ph.D.Thesis (EE).
BibRef
USC Computer VisionThe complete work.
BibRef
Paquin, R., and
Dubois, E.,
A Spatio-Temporal Gradient
Method for Estimating the Displacement Field in Time-Varying Imagery,
CVGIP(21), No. 2, February 1983, pp. 205-221.
Elsevier DOI Or flow field.
BibRef
8302
Schick, J., and
Dickmanns, E.D.,
Simultaneous Estimation of
3D Shape and Motion of Objects by Computer Vision,
Motion91(256-261).
In the context of the driving program, track the
object and recognize it using a small number of line features.
BibRef
9100
Liou, S.P., and
Jain, R.C.,
Qualitative Motion Analysis Using a Spatio-Temporal Approach,
CVPR91(726-727).
IEEE DOI Group voxels in the S-T space, and identify moving objects.
BibRef
9100
Martinez, D.M., and
Lim, J.S.,
Spatial interpolation of interlaced television pictures,
ICASSP89(III: 1886-1889).
Based on a thesis of Martinez, it talks a lot
about optical flow without ever using the term. It comes from the TV picture
coding school of motion analysis.
BibRef
8903
Porat, B., and
Friedlander, B.,
A Frequency Domain Algorithm for Multiframe Detection
and Estimation of Dim Targets,
PAMI(12), No. 4, April 1990, pp. 398-401.
IEEE DOI
BibRef
9004
Barman, H.,
Haglund, L.,
Knutsson, H., and
Granlund, G.H.,
Estimation of Velocity, Acceleration and Disparity in Time Sequences,
Motion91(44-51).
Optical flow from a spatio-temporal surface.
BibRef
9100
Blake, A.,
Curwen, R.M., and
Zisserman, A.,
A Framework for Spatiotemporal Control in the
Tracking of Visual Contours,
IJCV(11), No. 2, October 1993, pp. 127-145.
Springer DOI
BibRef
9310
Earlier:
Affine-Invariant Contour Tracking with Automatic Control of
Spatiotemporal Scale,
ICCV93(66-75).
IEEE DOI
Eigen Snakes.
Snakes. Both local and global features.
Tracking basic regions by transforming the contour. (Tracking hand).
Use an eigensnake representation of the contour.
BibRef
Jahne, B.,
Spatio-Temporal Image Processing-Theory and Scientific Applications,
SpringerBerlin, 1993.
BibRef
9300
Chen, W.G.[Wei-Ge],
Giannakis, G.B.,
Nandhakumar, N.,
Spatiotemporal Approach for Time-Varying Global Image Motion Estimation,
IP(5), No. 10, October 1996, pp. 1448-1461.
IEEE DOI
9610
BibRef
Earlier:
Spatio-temporal approach for time-varying image motion estimation,
ICIP94(II: 232-236).
IEEE DOI
9411
BibRef
Chen, W.G.[Wei-Ge],
Giannakis, G.B.,
Nandhakumar, N.,
A Harmonic Retrieval Framework for Discontinuous Motion Estimation,
IP(7), No. 9, September 1998, pp. 1242-1257.
IEEE DOI
9809
BibRef
Earlier:
ICIP95(I: 219-222).
IEEE DOI
9510
BibRef
Healey, A.J.,
Leeman, S.,
Weight, J.P.,
Space-Time Imaging of Transient Ultrasound Fields,
IJIST(8), No. 1, 1997, pp. 45-51.
9702
BibRef
Nelson, T.R.,
Pretorius, D.H.,
Interactive Acquisition, Analysis, and Visualization of
Sonographic Volume Data,
IJIST(8), No. 1, 1997, pp. 26-37.
9702
BibRef
Zhou, G.Q.[Guo-Qing],
Extracting 3D Information Using Spatio-Temporal Analysis of Aerial
Image Sequences,
PhEngRS(65), No. 7, July 1999, pp. 823.
Tool for the problem of depth discontinuities and occlusions.
BibRef
9907
Shahar, Y.[Yuval],
Molina, M.[Martin],
Knowledge-based Spatiotemporal Linear Abstraction,
PAA(1), No. 2, 1998, pp. 91-104.
BibRef
9800
Fernandez-Caballero, A.[Antonio],
Fernandez, M.A.[Miguel A.],
Mira, J.[Jose],
Delgado, A.E.[Ana E.],
Spatio-temporal shape building from image sequences using lateral
interaction in accumulative computation,
PR(36), No. 5, May 2003, pp. 1131-1142.
Elsevier DOI
0301
BibRef
Ngo, C.W.[Chong-Wah],
Pong, T.C.[Ting-Chuen],
Zhang, H.J.[Hong-Jiang],
Motion analysis and segmentation through spatio-temporal slices
processing,
IP(12), No. 3, March 2003, pp. 341-355.
IEEE DOI
0301
BibRef
Earlier:
Motion retrieval by temporal slices analysis,
ICPR02(IV: 64-67).
IEEE DOI
0211
BibRef
Ngo, C.W.[Chong-Wah],
Pong, T.C.[Ting-Chuen],
Zhang, H.J.[Hong-Jiang],
Chin, R.T.[Roland T.],
Motion Characterization by Temporal Slices Analysis,
CVPR00(II: 768-773).
IEEE DOI
0005
BibRef
Rodrigues, R.[Rui],
Fernandes, A.R.[António Ramires],
van Overveld, K.[Kees],
Ernst, F.[Fabian],
From spatiotemporal curves to reconstructed depth,
IVC(22), No. 12, 1 October 2004, pp. 959-970.
Elsevier DOI
0409
BibRef
Earlier:
Reconstructing Depth from Spatiotemporal Curves,
VI02(252).
PDF File.
0208
BibRef
Rodrigues, R.[Rui],
Fernandes, A.R.,
Robust reconstruction of 3d points from images,
ICIP04(V: 3017-3020).
IEEE DOI
0505
BibRef
Ma, Y.F.[Yu-Fei],
Zhang, H.J.[Hong-Jiang],
Lan, D.J.[Dong-Jun],
Robust camera motion analysis for home video,
US_Patent7,312,819, Dec 25, 2007
WWW Link.
BibRef
0712
And: A3, A1, A2:
A systemic framework of camera motion analysis for home video,
ICIP03(I: 289-292).
IEEE DOI
0312
BibRef
Ueda, T.,
Fujii, K.,
Hirobayashi, S.,
Yoshizawa, T.,
Misawa, T.,
Motion Analysis Using 3D High-Resolution Frequency Analysis,
IP(22), No. 8, 2013, pp. 2946-2959.
IEEE DOI
1307
3D frequency domain, Image restoration, Spatiotemporal phenomena
BibRef
Ueda, T.,
Hirobayashi, S.,
3-D Infinite Frequency Resolution Analysis and Spatiotemporal Spectrum
of a Moving Object,
CISP09(1-5).
IEEE DOI
0910
BibRef
Yang, J.[Jing],
Zhang, H.[Hong],
Peng, G.H.[Guo-Hua],
Time-domain period detection in short-duration videos,
SIViP(10), No. 4, April 2016, pp. 695-702.
Springer DOI
1604
Cyclic object motion
BibRef
Barranco, F.[Francisco],
Fermüller, C.[Cornelia],
Aloimonos, Y.F.[Yi-Fannis],
Ros, E.[Eduardo],
Joint direct estimation of 3D geometry and 3D motion using spatio
temporal gradients,
PR(113), 2021, pp. 107759.
Elsevier DOI
2103
3D motion, Egomotion, Structure from motion, Normal flow
BibRef
Gonzalez-Diaz, R.[Rocio],
Jimenez, M.J.[Maria-Jose],
Medrano, B.[Belen],
Spatiotemporal Barcodes for Image Sequence Analysis,
IWCIA15(61-70).
Springer DOI
1601
BibRef
Moura, R.C.,
Hemerly, E.M.,
A Spatiotemporal Motion-Vector Filter for Object Tracking on Compressed
Video,
AVSS10(427-434).
IEEE DOI
1009
BibRef
Zhang, H.[Hua],
Tian, X.[Xiang],
Chen, Y.W.[Yao-Wu],
A Distortion-Weighing Spatiotemporal Visual Attention Model for Video
Analysis,
CISP09(1-4).
IEEE DOI
0910
BibRef
Yu, T.L.[Tian-Li],
Xu, N.[Ning],
Ahuja, N.,
Reconstructing a dynamic surface from video sequences using graph cuts
in 4d space-time,
ICPR04(II: 245-248).
IEEE DOI
0409
BibRef
Zeng, W.[Wei],
Gao, W.[Wen],
Semantic object segmentation by a spatio-temporal MRF model,
ICPR04(IV: 775-778).
IEEE DOI
0409
BibRef
Knutsson, H.[Hans],
Andersson, M.[Mats],
Loglets: Generalized Quadrature and Phase for Local Spatio-Temporal
Structure Estimation,
SCIA03(741-748).
Springer DOI
0310
BibRef
Li, C.,
Ikeuchi, K.,
Sakauchi, M.,
Enhancement of 3d Information Acquisition from 2d Spatio-temporal Image,
MVA98(xx-yy).
BibRef
9800
Reed, T.,
The Analysis of Motion in Natural Scenes Using A
Spatiotemporal/Spatiotemporal Frequency Representation,
ICIP97(I: 93-96).
IEEE DOI
BibRef
9700
Teal, M.K., and
Ellis, T.J.,
Spatial-Temporal Reasoning Based on Object Motion,
BMVC96(Poster Session 2).
9608
University of Bournemouth
BibRef
Niyogi, S.[Sourabh],
Detecting Kinetic Occlusion,
ICCV95(1044-1049).
IEEE DOI Finding occlusion boundaries in spatio-temporal data.
BibRef
9500
Huttenlocher, D.P.,
Leventon, M.E.,
Rucklidge, W.J.,
Visually-Guided Navigation by Comparing Two-Dimensional Edge Images,
CVPR94(842-847).
IEEE DOI
BibRef
9400
Huttenlocher, D.P.[Daniel P.],
Noh, J.J.[Jae J.], and
Rucklidge, W.J.[William J.],
Tracking Non-Rigid Objects in Complex Scenes,
ICCV93(93-101).
IEEE DOI
BibRef
9300
And:
CornellTR92-1320, December 1992.
PDF File. Tracking the dominant object.
BibRef
Ohya, J., and
Kishino, F.,
A New Method for Acquiring Time-Sequential Range Images by
Integrating Stereo Pairs of Thermal and Intensity Images,
CVPR93(730-731).
IEEE DOI
Sensor Fusion, Thermal, Visible.
BibRef
9300
Ohya, J.,
Kishino, F.,
Dense, Time-varying Range Data Acquisition from Stereo Pairs
of Thermal and Intensity Images,
CVPR94(860-865).
IEEE DOI
BibRef
9400
Ravichandran, G., and
Trivedi, M.M.,
Motion and Depth Perception using Spatio Temporal Frequency Analysis,
SMC-C94(36-41).
BibRef
9400
And:
Motion perception using spatiotemporal frequency analysis,
ICIP94(II: 277-281).
IEEE DOI
9411
BibRef
And:
Motion Estimation using Spatiotemporal Frequency Channels,
SPIE(2233), Sensor Fusion and Aerospace Applications II,
Orlando, FL, April 6-7, 1994.
BibRef
Etoh, M., and
Shirai, Y.,
Segmentation and 2D Motion Estimation by Region Fragments,
ICCV93(192-199).
IEEE DOI Cluster based on color, position, and motion to get the tracked regions.
BibRef
9300
Hsu, P.R., and
Harashima, H.,
Spatiotemporal Representation of Dynamic Objects,
CVPR93(14-19).
IEEE DOI A new representation to compress and index image sequences. Sign of
Gassian and mean curvature of S-T surfaces is sufficient.
BibRef
9300
Nakanishi, T.,
Ishii, K.,
Automatic Vehicle Image Extraction Based on Spatio-Temporal
Image Analysis,
ICPR92(I:500-504).
IEEE DOI
BibRef
9200
Tsuji, S.,
Continuous Image Interpretation By A Moving Viewer,
ICPR88(I: 514-519).
IEEE DOI
8811
BibRef
Chapter on Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion continues in
Spatio-Temporal Filtering .