Temporal prediction and spatial regularization in differential optical flow

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6915 LNCS, Issue , 2011, Pages 576-585

  Hoeffken, Matthias ^a   Oberhoff, Daniel ^a   Kolesnik, Marina ^a  

^a FRAUNHOFER INSTITUTE FOR APPLIED INFORMATION TECHNOLOGY FIT   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN FORMULATION; FILLING IN; FLOW ESTIMATION; GRAPHICAL PROCESSING UNITS; LIVE VIDEO; MISSING INFORMATION; MULTISCALES; OPTICAL FLOW ESTIMATION; OVERALL ESTIMATION; PROCESSING POWER; SPATIAL EXTENT; TEMPORAL PREDICTION; TIME FRAME; VARIATIONAL METHODS; GRAPHICAL PROCESSING UNIT (GPUS); SPATIAL REGULARIZATIONS;

ALGORITHMS; ESTIMATION; IMAGE CODING; PROGRAM PROCESSORS; BAYESIAN NETWORKS; COMPUTER VISION; GRAPHICS PROCESSING UNIT; KALMAN FILTERS;

OPTICAL FLOWS;

EID: 80052184464     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-23687-7_52     Document Type: Conference Paper

References (10)

1. Simoncelli, E.P., Jahne, B., Haussecker, H., Geissler, P.: Bayesian Multi-Scale Differential Optical Flow, vol. 2, pp. 397-422. Academic Press, San Diego (1999)
2. Lucas, B.D., Kanade, T.: An iterative image registration technique with an application to stereo vision. In: Proceedings of Imaging Understanding Workshop, pp. 121-130 (1981)
3. Horn, B.K.P., Schunck, B.G.: Determining optical flow. Artificial Intelligence 17, 185-203 (1981)
4. Baker, S., Scharstein, D., Lewis, J., Roth, S., Black, M., Szeliski, R.: A database and evaluation methodology for optical flow. In: IEEE 11th International Conference on Computer Vision, ICCV 2007, pp. 1-8 (October 2007)
5. Hauagge, D.C.: Homepage, http://www.liv.ic.unicamp.b/~hauagge/Daniel- Cabrini-Hauagge/Home-Page.html.
6. Rannacher, J.: Realtime 3d motion estimation on graphics hardware, Master's thesis at Heidelberg University (2009)
7. Werlberger, M., Trobin, W., Pock, T., Wedel, A., Cremers, D., Bischof, H.: Anisotropic Huber-L1 Optical Flow. In: Proceedings of British Machine Vision Conference (BMVC) (September 2009)
8. Ferrera, V.P., Wilson, H.R.: Perceived direction of moving two-dimensional patterns. Vision Research 30(2), 273-287 (1990)
9. Bayerl, P., Neumann, H.: A fast biologically inspired algorithm for recurrent motion estimation. IEEE Transactions on Pattern Analysis and Machine Intelligence 29(2), 246-260 (2007)
10. Chessa, M., Sabatini, S.P., Solari, F., Bisio, G.M.: A recursive approach to the design of adjustable linear models for complex motion analysis. In: Proceedings of the Fourth Conference on IASTED International Conference: Signal Processing, Pattern Recognition, and Applications, pp. 33-38. ACTA Press, Anaheim (2007)