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.
WWW Link. 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.
WWW Link. 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.
WWW Link. 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


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:Dec 15, 2017 at 20:32:53