18.7.2 General Spatio-Temporal Analysis

Chapter Contents (Back)
Sequences. Spatio-Temporal Analysis. Motion, Spatio-Temporal.

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.[Guohua],
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.[Yiannis], 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


Damiand, G.[Guillaume], Brandel, S.[Sylvain], Conte, D.[Donatello],
Incremental Updating of 3D Topological Maps to Describe Videos,
IWCIA15(299-310).
Springer DOI 1601
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 .


Last update:May 10, 2021 at 18:51:10