Bulthoff, H.H.,
Little, J.J., and
Poggio, T.A.,
A Parallel Algorithm for Real-time Computation of Optical Flow,
Nature(337), No. 6207, 1989, pp. 549-553.
BibRef
8900
And: A2, A1, A3:
A Parallel Motion Algorithm Consistent with
Psychophysics and Physiology,
Motion89(165-172).
BibRef
And:
Parallel Optical Flow Computation,
DARPA87(915-920).
A new algorithm is proposed based on work of Tikhonov that enforces
local constraints. This is implemented in parallel on the
Connection Machine.
BibRef
Little, J.J.,
Bulthoff, H.H.,
Poggio, T.,
Parallel Optical Flow Using Local Voting,
ICCV88(454-459).
IEEE Abstract. IEEE Top Reference.
BibRef
8800
Bandari, E., and
Little, J.J.,
Cooperative analysis of multiple frames by visual echoes,
ICIP94(III: 766-770).
IEEE DOI Link
9411
BibRef
Earlier:
Visual Echo Analysis,
ICCV93(220-225).
IEEE DOI Link
BibRef
Earlier:
Spatial-Quefrency Approach to Optical Echo Analysis,
CVPR92(850-852).
IEEE Abstract. IEEE Top Reference. Cepstral filtering
(Fourier(Fourier X)) applied to optical flow computations.
BibRef
Fleet, D.J.,
Langley, K.,
Recursive Filters For Optical-Flow,
PAMI(17), No. 1, January 1995, pp. 61-67.
IEEE Abstract. IEEE Top Reference.
WWW Version. An attempt to get real time computation of optical flow.
BibRef
9501
Valentinotti, F.,
Dicaro, G.,
Crespi, B.,
Real-Time Parallel Computation of Disparity and Optical-Flow
Using Phase Difference,
MVA(9), No. 3, 1996, pp. 87-96.
HTML Version.
9611
BibRef
Smith, S.M.[Stephen M.],
Brady, J.M.,
ASSET-2: Real-Time Motion Segmentation and Shape Tracking,
PAMI(17), No. 8, August 1995, pp. 814-820.
IEEE Abstract. IEEE Top Reference.
WWW Version.
BibRef
9508
And: A1 only:
ICCV95(237-244).
IEEE DOI Link
WWW Version. Hardware, real-time tracking of regions of similar flow vectors.
Find clusters of flow vectors. In the example, the cluster is constant
for a wide range of values. They give a good indication of the effect
of the threshold.
BibRef
Smith, S.M.,
ASSET-2: Real-Time Motion Segmentation and Object Tracking,
RealTimeImg(4), No. 1, February 1998, pp. 21-40.
9805
BibRef
Smith, S.M.[Stephen M.],
Integrated Real-Time Motion Segmentation and 3D Interpretation,
ICPR96(III: 49-55).
IEEE DOI Link
9608
BibRef
And:
Defence Research AgencyUK, TR96SMS1, 1996.
BibRef
Liu, H.C.[Hong-Che],
Hong, T.H.[Tsai-Hong],
Herman, M.[Martin],
Chellappa, R.[Rama],
Motion-Model-Based Boundary Extraction and a Real-Time Implementation,
CVIU(70), No. 1, April 1998, pp. 87-100.
WWW Version.
BibRef
9804
Earlier:
Motion-Model-Based Boundary Extraction,
SCV95(587-592).
IEEE Top Reference.
BibRef
And:
UMDTR3414, 1995.
WWW Version.
WWW Version. Boundaries within optical flow.
See also General Motion Model and Spatiotemporal Filters for Computing Optical-Flow, A.
BibRef
Camus, T.A.[Ted A.],
Coombs, D.[David],
Herman, M.[Martin],
Hong, T.H.[Tsai-Hong],
Real-Time Single-Workstation Obstacle Avoidance Using Only Wide-Field
Flow Divergence,
Videre(1), No. 3, Summer 1999, pp. xx-yy.
BibRef
9900
Earlier:
ICPR96(III: 323-330).
IEEE DOI Link
9608
(National Institute of Standard and Technology, USA)
BibRef
Camus, T.A.,
Real-Time Quantized Optical Flow,
RealTimeImg(3), 1997, pp. 71-86.
BibRef
9700
Earlier:
CAMP95(xx).
Implementation of algorithm.
Code, Optic Flow.
WWW Version.
BibRef
Coombs, D.[David],
Herman, M.[Martin],
Hong, T.[Tsai],
Nashman, M.[Marilyn],
Real-Time Obstacle Avoidance Using Central Flow Divergence and
Peripheral Flow,
ICCV95(276-283).
IEEE DOI Link
WWW Version.
BibRef
9500
And:
NISTIR5605, February 1995.
Postscript Version. And for the report
Postscript Version.
BibRef
Herman, M.[Martin],
Coombs, D.[David],
Hong, T.[Tsai], and
Nashman, M.[Marilyn],
Vision-Based Mobility Using Optical Flow,
SPIEInternational Technical Working Group Newsletter, No. 2,
Robotics and Machine Perception, Vol. 3,
September 1994, pp. 4-5.
BibRef
9409
Nishikawa, T.[Tsuyoshi],
System for estimating motion vector with instant estimation
of motion vector,
US_Patent6,148,108, Nov 14, 2000
WWW Version.
BibRef
0011
Iwamoto, S.[Sadahiro],
Checkley, Jr., D.M.[David M.],
Trivedi, M.M.[Mohan M.],
REFLICS: Real-time Flow Imaging and Classification System,
MVA(13), No. 1, 2001, pp. 1-13.
HTML Version. Monitoring oceans from real time camera.
0108
BibRef
Earlier: A1, A3, A2:
ICPR00(Vol IV: 689-692).
IEEE DOI Link
HTML Version.
0009
BibRef
Björkman, M.[Marten],
Eklundh, J.O.[Jan-Olof],
Real-Time Epipolar Geometry Estimation of Binocular Stereo Heads,
PAMI(24), No. 3, March 2002, pp. 425-432.
IEEE Abstract. IEEE Top Reference.
WWW Version.
0202
Continuous calibration of external parameters.
BibRef
Björkman, M.[Marten],
Eklundh, J.O.[Jan-Olof],
A Real-Time System for Epipolar Geometry and Ego-Motion Estimation,
CVPR00(II: 506-513).
IEEE Abstract. IEEE Top Reference.
WWW Version.
0005
BibRef
Bjorkman, M.,
Eklundh, J.O.,
Real-Time Epipolar Geometry Estimation and Disparity,
ICCV99(234-241).
IEEE DOI Link
BibRef
9900
Chong, C.P.,
Salama, C.A.T.,
Smith, K.C.,
An imager with built-in image-velocity computation capability,
CirSysVideo(2), No. 3, September 1992, pp. 306-312.
IEEE Top Reference.
0206
BibRef
Chong, C.P.,
Salama, C.A.T.,
Smith, K.C.,
A novel technique for image-velocity computation,
CirSysVideo(2), No. 3, September 1992, pp. 313-318.
IEEE Top Reference.
0206
BibRef
Martín, J.L.[José L.],
Zuloaga, A.[Aitzol],
Cuadrado, C.[Carlos],
Lázaro, J.[Jesús],
Bidarte, U.[Unai],
Hardware implementation of optical flow constraint equation using FPGAs,
CVIU(98), No. 3, June 2005, pp. 462-490.
WWW Version.
0505
BibRef
Diaz, J.[Javier],
Ros, E.[Eduardo],
Pelayo, F.,
Ortigosa, E.M.,
Mota, S.,
FPGA-based real-time optical-flow system,
CirSysVideo(16), No. 2, February 2006, pp. 274-279.
IEEE DOI Link
0604
BibRef
Diaz, J.[Javier],
Ros, E.[Eduardo],
Mota, S.,
Pelayo, F.,
Ortigosa, E.M.,
Subpixel motion computing architecture,
VISP(153), No. 6, December 2006, pp. 869-880.
WWW Version.
0702
BibRef
Diaz, J.[Javier],
Ros, E.[Eduardo],
Agis, R.[Rodrigo],
Bernier, J.L.[Jose Luis],
Superpipelined high-performance optical-flow computation architecture,
CVIU(112), No. 3, December 2008, pp. 262-273.
WWW Version.
0811
Image motion analysis; Real-time systems; FPGAs; Architecture of vision systems
BibRef
Anguita, M.,
Diaz, J.[Javier],
Ros, E.[Eduardo],
Fernandez-Baldomero, F.J.,
Optimization Strategies for High-Performance Computing of Optical-Flow
in General-Purpose Processors,
CirSysVideo(19), No. 10, October 2009, pp. 1475-1488.
IEEE DOI Link
0911
BibRef
Pauwels, K.[Karl],
Van Hulle, M.M.[Marc M.],
Realtime phase-based optical flow on the GPU,
CVGPU08(1-8).
IEEE DOI Link
0806
BibRef
Nagy, Y.,
Saeb, M.,
El-Sonbaty, Y.,
VHDL-Based Simulation of a Parallel Implementation of a Phase-Based
Algorithm for Optical Flow,
AVSBS06(27-27).
IEEE DOI Link
0611
BibRef
Dopico, A.G.[Antonio G.],
Correia, M.V.[Miguel V.],
Santos, J.A.[Jorge A.],
Nunes, L.M.[Luis M.],
Parallel Computation of Optical Flow,
ICIAR04(II: 397-404).
WWW Version.
0409
BibRef
Correia, M.V.[Miguel V.],
Campilho, A.C.[Aurélio C.],
A Pipelined Real-Time Optical Flow Algorithm,
ICIAR04(II: 372-380).
WWW Version.
0409
BibRef
Earlier:
Real-time implementation of an optical flow algorithm,
ICPR02(IV: 247-250).
IEEE DOI Link
0211
BibRef
Milanova, M.G.[Mariofanna G.],
Campilho, A.C.[Aurelio C.],
Correia, M.V.[Miguel V.],
Cellular Neural Networks for Motion Estimation,
ICPR00(Vol III: 819-822).
IEEE DOI Link
HTML Version.
0009
BibRef
Adorni, G.,
Cagnoni, S.,
Mordonini, M.,
Cellular automata-based optical flow computation for 'just-in-time'
applications,
CIAP99(612-617).
IEEE DOI Link
9909
BibRef
Zuloaga, A.,
Martin, J.L.,
Ezquerra, J.,
Hardware architecture for optical flow estimation in real time,
ICIP98(III: 972-976).
IEEE DOI Link
9810
BibRef
Benoit, S.,
Ferrie, F.P.,
Monocular Optical Flow for Real-Time Vision Systems,
ICPR96(I: 864-868).
IEEE DOI Link
9608
(McGill Univ., CDN)
BibRef
Bradski, G.R.[Gary R.],
Motion detection using normal optical flow,
US_Patent6,647,131, Nov 11, 2003
WWW Version.
BibRef
0311
And:
US_Patent6,654,483, Nov 25, 2003
WWW Version.
BibRef
Davis, J.W.[James W.],
Bradski, G.R.[Gary R.],
Real-time Motion Template Gradients using Intel CVLib,
Frame-Rate99().
HTML Version.
BibRef
9900
Nesi, P.,
del Bimbo, A., and
Ben-Tzvi, D.,
Algorithms for Optical Flow Estimation in Real-Time on
Connection Machine-2,
Univ. of FlorenceTR, 1993 ??,
Systems and Informatics, Faculty of Engineering.
Parallel implementation of several optical flow algorithms.
Regularization, multiconstraint, M-C with least-squares, M-C with
maximum-likelihood.
See also Robust Algorithm for Optical-Flow Estimation, A.
BibRef
9300
del Bimbo, A., and
Nesi, P.,
Optical Flow Estimation on the Connection-Machine CM-2,
CAMP93(267-274).
BibRef
9300
del Bimbo, A., and
Nesi, P.,
A Vision System for Estimating People Flow,
Univ. of FlorenceTR. 1993 ??
BibRef
9300
Deering, M.,
Collins, C.,
Real-Time Natural Scene Analysis for a Blind Prosthesis,
IJCAI81(704-709).
BibRef
8100