18 Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion

18.1 Low Level Motion, General Issues

Chapter Contents (Back)
Motion, Low Level.

Snyder, W.E.,
Computer Analysis of Time Varying Images,
Computer(14), No. 8, August 1981, pp. 7-9. BibRef 8108

Tsotsos, J.K.,
The Scope of Motion Research: From Image Intensity Changes to Semantic Abstraction,
Motion83(7-11). BibRef 8300

Kolers, P.A., (Toronto),
Motion from Continuous or Discontinuous Arrangements,
Motion83(12-16). BibRef 8300

Neumann, B.,
Exploiting Image Formation Knowledge for Motion Analysis,
PAMI(2), No. 6, November 1980, pp. 550-554. BibRef 8011

Neumann, B., (Hamburg),
Optical Flow,
Motion83(17-19). BibRef 8300

Badler, N.I.,
Motion Graphics, Description and Control,
Motion83(22-23). BibRef 8300

Huang, T.S., Ullman, S., (Eds.)
Special Issue on Image Sequence Processing and Motion Analysis in Visual Communication,
JVCIR(4), No. 4, December 1993, pp. 281-406. BibRef 9312

Ohzu, K., Habara, K.,
Behind the Scenes of Virtual-Reality: Vision and Motion,
PIEEE(84), No. 5, May 1996, pp. 782-798. 9605

Nesi, P.,
Special Issue on Computer Vision Motion Analysis,
RealTimeImg(4), No. 1, February 1998, pp. 1-1. 9805

Tsotsos, J.K.[John K.],
Motion Understanding: Task-Directed Attention and Representations that Link Perception with Action,
IJCV(45), No. 3, December 2001, pp. 265-280.
DOI Link 0111
Future of research in motion understanding -- combine all aspects to get the result. BibRef

Tsotsos, J.K.[John K.],
Cognitive Vision Needs Attention to Link Sensing with Recognition,
Springer DOI 0310

Khellah, F., Fieguth, P.W., Murray, M.J., Allen, M.,
Statistical Processing of Large Image Sequences,
IP(14), No. 1, January 2005, pp. 80-93.

Sanfeliu, A.[Alberto], Villanueva, J.J.[Juan J.],
An approach of visual motion analysis,
PRL(26), No. 3, February 2005, pp. 355-368.
Elsevier DOI 0501

Peuquet, D.J.[Donna J.],
Theme section on advances in spatio-temporal analysis and representation,
PandRS(60), No. 1, December 2005, pp. 1-2.
Elsevier DOI 0602

MacLean, W.J.[W. James], Paragios, N.[Nikos], Fleet, D.J.[David J.],
Special issue on spatial coherence for visual motion analysis,
CVIU(108), No. 3, December 2007, pp. 205-206.
Elsevier DOI 0711

Agarwal, P.K.[Pankaj K.], Guibas, L.J.[Leonidas J.], Edelsbrunner, H.[Herbert], Erickson, J.[Jeff], Isard, M.[Michael], Har-Peled, S.[Sariel], Hershberger, J.[John], Jensen, C.[Christian], Kavraki, L.[Lydia], Koehl, P.[Patrice], Lin, M.[Ming], Manocha, D.[Dinesh], Metaxas, D.[Dimitris], Mirtich, B.[Brian], Mount, D.M.[David M.], Muthukrishnan, S., Pai, D.[Dinesh], Sacks, E.[Elisha], Snoeyink, J.[Jack], Suri, S.[Subhash], Wolefson, O.[Ouri],
Algorithmic issues in modeling motion,
Surveys(34), No. 4, December 2002, pp. 550-527.
WWW Link. Survey, Motion. 0805

Dhome, M.[Michel],
Visual Perception Through Video Imagery,
Wiley-ISTEMarch 2009. ISBN: 978-1-84821-016-5
HTML Version. Buy this book: Visual Perception Through Video Imagery (Digital Signal and Image Processing) 0905

Cremers, D., Rosenhahn, B., Yuille, A.L., Schmidt, F.R., Eds.,
Statistical and Geometrical Approaches to Visual Motion Analysis,
LNCS5604. 2009. ISBN: 978-3-642-03060-4 Revised papers from International Dagstuhl Seminar, Dagstuhl Castle, July 13-18, 2008, Revised Papers BibRef 0000

Wang, L., Zhao, G., Cheng, L., Pietikäinen, M., (Eds.)
Machine Learning for Vision-Based Motion Analysis: Theory and Techniques,
Springer2011, ISBN: 978-0-85729-056-4
WWW Link. 1101
Buy this book: Machine Learning for Vision-Based Motion Analysis: Theory and Techniques (Advances in Pattern Recognition) Developed from the 2 workshops. BibRef

Edison, A.[Anitha], Jiji, C.V.,
Optical Acceleration for Motion Description in Videos,
Acceleration, Adaptive optics, Biomedical optical imaging, High-speed optical techniques, Histograms, Optical imaging, Videos BibRef

Gong, M.L.[Ming-Lun],
A GPU-based Algorithm for Estimating 3D Geometry and Motion in Near Real-time,
Hardware Implementation. BibRef

Dimov, I.[Ivan], Kornprobst, P.[Pierre], Viéville, T.[Thierry],
Could early visual processes be sufficient to label motions?,
INRIARR-5240, 2004.
HTML Version. BibRef 0400

Genc, Y.[Yakup], Ponce, J.[Jean], Leedan, Y.[Yoram], Meer, P.[Peter],
Parameterized Image Varieties and Estimation with Bilinear Constraints,
CVPR99(II: 67-72).
PS File. See also Estimation with Bilinear Constraints in Computer Vision. BibRef 9900

Genc, Y.[Yakup], and Ponce, J.[Jean],
Parameterized Image Varieties: A Novel Approach to the Analysis and Synthesis of Image Sequences,
PS File. BibRef 9800

Chapter on Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion continues in
Psychology and Psychophysics, Human Vision for Motion .

Last update:Sep 22, 2017 at 21:00:01