Team VISTA

Members
Overall Objectives
Scientific Foundations
Application Domains
Software
New Results
Contracts and Grants with Industry
Other Grants and Activities
Dissemination
Bibliography

Bibliography

Major publications by the team in recent years

[1]
P. Bouthemy, M. Gelgon, F. Ganansia.
A unified approach to shot change detection and camera motion characterization, in: IEEE Trans. on Circuits and Systems for Video Technology, October 1999, vol. 9, no 7, p. 1030-1044.
[2]
T. Corpetti, E. Mémin, P. Pérez.
Dense estimation of fluid flows., in: IEEE Trans. on Pattern Analysis and Machine Intelligence, March 2002, vol. 24, no 3, p. 365-380.
[3]
F. Dambreville, J.-P. Le Cadre.
Detection of a Markovian target with optimization of the search efforts under generalized linear constraints, in: Naval Research Logistics,, February 2002, vol. 49, no 2, p. 117-142.
[4]
R. Fablet, P. Bouthemy.
Motion recognition using non parametric image motion models estimated from temporal and multiscale cooccurrence statistics., in: IEEE Trans. on Pattern Analysis and Machine Intelligence, December 2003, vol. 25, no 12, p. 1619-1624.
[5]
C. Hue, J.-P. Le Cadre, P. Pérez.
Tracking multiple objects with particle filtering, in: IEEE Trans. on Aerospace & Electronic Systems, July 2002, vol. 38, no 3, p. 791-812.
[6]
C. Kervrann.
Learning probabilistic deformation models from image sequences, in: Signal Processing, 1998, vol. 71, p. 155-171.
[7]
E. Mémin, P. Pérez.
Dense estimation and object-based segmentation of the optical flow with robust techniques, in: IEEE Trans. on Image Processing, May 1998, vol. 7, no 5, p. 703-719.
[8]
P. Musé, F. Sur, F. Cao, Y. Gousseau.
Unsupervised thresholds for shape matching, in: IEEE Int. Conf. on Image Processing, Barcelona, September 2003, vol. Barcelona.
[9]
J.-M. Odobez, P. Bouthemy.
Robust multiresolution estimation of parametric motion models, in: Journal of Visual Communication and Image Representation, December 1995, vol. 6, no 4, p. 348-365.
[10]
P. Pérez, A. Chardin, J.-M. Laferté.
Non-iterative manipulation of discrete energy-based models for image analysis, in: Pattern Recognition, April 2000, vol. 33, no 4, p. 573-586.

Publications of the year

Doctoral dissertations and Habilitation theses

[11]
V. Auvray.
Estimation et segmentation des mouvements transparents dans des séquences d'images fluoroscopiques avec application au débruitage, Ph. D. Thesis, Université de Rennes 1, Mention Traitement du Signal et des Télécommunications, November 2006.
[12]
A. Cuzol.
Analyse d'écoulements fluides à partir de séquences d'images: estimation de champs de vitesses et suivi temporel par filtrage stochastique non linéaire, Ph. D. Thesis, Université de Rennes 1, Mention Mathématiques et Applications, December 2006.

Articles in refereed journals and book chapters

[13]
E. Arnaud, E. Mémin.
Partial linear Gaussian models for tracking in image sequences using sequential Monte-Carlo methods, in: International Journal of Computer Vision, to appear, 2006.
[14]
F. Bavencoff, J.-M. Vanpeperstraete, J.-P. Le Cadre.
Constrained bearings-only target motion analysis via Monte Carlo Markov chain methods, in: IEEE Trans. on Aerospace and Electronic Systems, October 2006, vol. 42, no 4.
[15]
J. Boulanger, C. Kervrann, P. Bouthemy.
An adaptive statistical method for 4D-fluorescence image sequence denoising with spatio-temporal discontinuities preserving, in: Biophotonics for Life Sciences and Medicine, F. Faugel, P. Smigielski, A. Brandenburg, J. Fontaine (editors), Fontis Media SA, Lausanne, Switzerland, 2006, p. 97-113.
[16]
J. Boulanger, K. Kervrann, P. Bouthemy.
Space-time adaptation for patch based image sequence restoration, in: IEEE Trans. on Pattern Analysis and Machine Intelligence, to appear, 2006.
[17]
P. Bouthemy, C. Hardouin, G. Piriou, J.-F. Yao.
Mixed-state auto-models and motion texture modeling, in: Journal of Mathematical Imaging and Vision, October 2006, vol. 25, no 3, p. 387-402.
[18]
T. Bréhard, J.-P. Le Cadre.
Closed-form posterior Cramèr-Rao bound for bearings-only tracking, in: IEEE Trans. on Aerospace and Electronic Systems, October 2006, vol. 42, no 4.
[19]
T. Bréhard, J.-P. Le Cadre.
Hierarchical particle filter for bearings only tracking, in: IEEE Trans. on Aerospace and Electronic Systems, to appear, 2006.
[20]
F. Cao, J. Delon, A. Desolneux, P. Musé, F. Sur.
A unified framework for detecting groups and application to shape recognition, in: Journal of Mathematical Imaging and Vision, to appear, 2006.
[21]
F. Cao, R. Fablet.
Automatic morphological detection of otolith nucleus, in: Pattern Recognition Letters, 2006, vol. 27, no 6, p. 658-666.
[22]
T. Corpetti, D. Heitz, G. Arroyo, E. Mémin, A. Santa-Cruz.
Fluid experimental flow estimation based on an optical-flow scheme, in: International Journal of Experiments in Fluid, 2006, vol. 40, no 1, p. 80-97.
[23]
A. Cuzol, P. Hellier, E. Mémin.
A low dimensional fluid motion estimator, in: Int. Journal on Computer Vision, to appear, 2006.
[24]
F. Dambreville, J.-P. Le Cadre.
Constrained minimax optimization of continuous search efforts for the detection of a stationary target, in: Naval Research Logistics, to appear, 2006.
[25]
P. Dodin, F. Minvielle, J. -P. Le Cadre.
A branch-and-bound algorithm applied to optimal radar search pattern, in: Aerospace Science and Technology, to appear, 2006.
[26]
R. Donati, J.-P. Le Cadre.
Detection, target motion analysis and track association with a sensor network, in: Journal of Information Fusion, 2006, vol. 7, no 3, p. 285-303.
[27]
C. Hue, J.-P. Le Cadre, P. Pérez.
Posterior Cramer-Rao bounds for multi-target tracking, in: IEEE Trans. on Aerospace and Electronic Systems, January 2006, vol. 42, no 1, p. 37-49.
[28]
C. Kervrann, J. Boulanger.
Optimal spatial adaptation for patch-based image denoising, in: IEEE Trans. on Image Processing, 2006, vol. 15, no 10, p. 2866- 2878.
[29]
A. Kokaram, N. Rea, R. Dahyot, M. Tekalp, P. Bouthemy, P. Gros, I. Sezan.
Browsing sports video (Trends in sports-related indexing and retrieval work), in: IEEE Signal Processing Magazine, March 2006, vol. 23, no 2, p. 47-58.
[30]
J.-P. Le Cadre.
Optimisation des émissions pour la trajectographie et la poursuite de cibles mobiles, in: Traité IC2: Optimisation en traitement du signal et de l'image, P. Siarry (editor), Hermes, 2006, chap. 7.
[31]
P. Musé, F. Sur, F. Cao, Y. Gousseau, J.-M. Morel.
An a contrario decision method for shape elements recognition, in: International Journal of Computer Vision, 2006, vol. 69, no 3, p. 295-315.
[32]
P. Musé, F. Sur, F. Cao, Y. Gousseau, J.-M. Morel.
Shape recognition based on an a contrario methodology, in: Statistics and Analysis of Shapes, H. Krim, A. Yezzi (editors), Springer Verlag, 2006.
[33]
G. Piriou, P. Bouthemy, J.-F. Yao.
Recognition of dynamic video contents with global probabilistic models of visual motion, in: IEEE Trans. on Image Processing, 2006, vol. 15, no 11, p. 3417-3430.
[34]
T. Veit, F. Cao, P. Bouthemy.
An a contrario decision framework for region-based motion detection, in: International Journal on Computer Vision, 2006, vol. 68, no 2, p. 163-178.
[35]
R. Venkatesh Babu, P. Pérez, P. Bouthemy.
Robust tracking with motion estimation and local Kernel-based color modeling, in: Image and Vision Computing, to appear, 2006.
[36]
J. Yuan, C. Schnörr, E. Mémin.
Discrete orthogonal decomposition and variational fluid flow estimation, in: Journal of Mathematical Imaging and Vision, to appear, 2006.

Publications in Conferences and Workshops

[37]
E. Arnaud, E. Mémin, R. Sosa, G. Artana.
A fluid motion estimator for Schlieren imaging velocymetry, in: Proc. European Conf. Comp. Vision (ECCV'06), Graz, Austria, May 2006.
[38]
V. Auvray, P. Bouthemy, J. Liénard.
Motion estimation in X-Ray image sequence with bi-distributed transparency, in: Proc. Int. Conf. on Image Processing (ICIP'06), Atlanta, USA, October 2006.
[39]
V. Auvray, P. Bouthemy, J. Liénard.
Motion-based segmentation of transparent layers in video sequences, in: Proc. Int. Workshop on Multimedia Content Representation, Classification and Security, MRCS'2006, Istanbul, Turkey, September 2006.
[40]
J. Boulanger, C. Kervrann, P. Bouthemy.
Adaptive space-time patch-based method for image sequence restoration, in: Proc. Int. Workshop on Statistical Methods in Multi-Image and Video Processing (SMVP'06), Graz, Austria, May 2006.
[41]
J. Boulanger, C. Kervrann, P. Bouthemy.
Estimation of dynamic background for fluorescence video-microscopy, in: Proc. IEEE Int. Conf. on Image Processing (ICIP'06), Atlanta, USA, October 2006.
[42]
J. Boulanger, C. Kervrann, P. Bouthemy.
Simulation and estimation of fluorescence in microscopy image sequence, in: Proc. MICCAI'06 workshop on microscopique image analysis and application to biology, Copenhagen, Denmark, October 2006.
[43]
T. Bréhard, J.-P. Le Cadre.
Closed-form posterior Cramèr-Rao bound for active measurement scheduling, in: Proc. Conf on Cognitive Systems with Interactive Sensors (COGIS'06), Paris, France, March 2006.
[44]
T. Bréhard, J.-P. Le Cadre.
Closed-form posterior Cramér-Rao bound for a maneuvering target in the bearings-only tracking context using best-fitting Gaussian distribution, in: Proc. Conf. on Information Fusion (Fusion'06), Florence, Italy, July 2006.
[45]
F. Cao, P. Bouthemy.
A general principled method for image similarity validation, in: Proc. Int. Workshop on Adaptive Multimedia Retrieval (AMR'2006), Geneva, Switzerland, July 2006.
[46]
F. Céleste, F. Dambreville, J.-P. Le Cadre.
Optimal path planning using the cross entropy method, in: Proc. Conf. on Information Fusion (Fusion'06), Florence, Italy, July 2006.
[47]
F. Céleste, F. Dambreville, J.-P. Le Cadre.
Optimal strategies for mobile robots based on the Cross entropy Method, in: Machine Learning for Signal Processing (MLSP'06), Maynooth, Ireland, September 2006.
[48]
A. Chessel, F. Cao, R. Fablet.
Interpolating orientation fields: an axiomatic approach, in: Proc. European Conf. Comp. Vision (ECCV'06), Graz, Austria, May 2006.
[49]
A. Chessel, R. Fablet, F. Cao, C. Kervrann.
Orientation interpolation and applications, in: Proc. IEEE Int. Conf. on Image Processing (ICIP'06), Atlanta, USA, October 2006.
[50]
T. Crivelli, B. Cernuschi-Frias, P. Bouthemy, J.-F. Yao.
Mixed-state Markov random fields for motion texture modeling and segmentation, in: Proc. IEEE Int. Conf. on Image Processing (ICIP'06), Atlanta, USA, October 2006.
[51]
T. Crivelli, B. Cernuschi-Frias, P. Bouthemy, J.-F. Yao.
Segmentation of motion textures using mixed-state Markov random fields, in: Proc. Conf. SPIE Math.of Data/Image Pattern Recognition, Compression, and Encryption with Applications, San Diego, USA, August 2006.
[52]
A. Cuzol, E. Mémin.
Suivi de mouvement fluide par filtrage stochastique, in: Congrès Francophone de Reconnaissance des Formes et Intelligence Artificielle (RFIA'06), Tours, January 2006.
[53]
P. Dodin, P. Minvielle, J.-P. Le Cadre.
A branch-and-bound algorithm applied to optimal radar search pattern, in: Proc. Conf on Cognitive Systems with Interactive Sensors (COGIS'06), Paris, France, March 2006.
[54]
R. Fablet, S. Pujolle, A. Chessel, A. Benzinou, F. Cao.
Variational level-set reconstruction of accretionary morphogenesis from images, in: Proc. IEEE Int. Conf. on Image Processing (ICIP'06), Atlanta, USA, October 2006.
[55]
P. Heas, E. Memin, N. Papadakis.
Dense estimation of layer motions in the atmosphere, in: Int. Conf. Pattern Recognition (ICPR'06), Hong-Kong, China, August 2006.
[56]
C. Kervrann, J. Boulanger.
Adaptation locale optimale pour la régularisation et la représentation d'image à base de motifs locaux, in: Proc. Congrès Francophone de Reconnaissance des Formes et Intelligence Artificielle (RFIA'06), Tours, January 2006.
[57]
C. Kervrann, J. Boulanger.
Adaptive estimation to variable smoothness for patch-based image denoising, in: Proc. Annual Meeting of the Institute of Mathematical Statistics, Rio, Brazil, August 2006.
[58]
C. Kervrann, J. Boulanger.
Unsupervised patch-based image regularization and representation, in: Proc. European Conf. Comp. Vision (ECCV'06), Graz, Austria, May 2006.
[59]
I. Laptev.
Improvements of object detection using boosted histograms, in: Proc. British Machine Vision Conf. (BMVC'06), Edinburgh, U.-K., September 2006.
[60]
A. Lehmann, P. Bouthemy, J.-F. Yao.
Rank-test similarity measure between video segments for local descriptors, in: Proc. Int. Workshop on Adaptive Multimedia Retrieval (AMR'2006), Geneva, Switzerland, July 2006.
[61]
A. Lehuger, P. Lechat, P. Pérez.
An adaptive mixture color model for robust visual tracking, in: Proc. Int. Conf. on Image Processing (ICIP'06), Atlanta, USA, October 2006.
[62]
A. Lehuger, P. Lechat, P. Pérez.
An adaptive mixture color model for robust visual tracking, in: Proc. Congrès Francophone de Reconnaissance des Formes et Intelligence Artificielle (RFIA'06), Tours, January 2006.
[63]
N. Papadakis, A. Cuzol, E. Mémin.
Suivi du mouvement fluide: approche stochastique et variationnelle, in: Proc. Journées AUM/AFM, La Rochelle, September 2006, p. 117–122.
[64]
N. Papadakis, E. Mémin.
Une approche variationelle pour le suivi de contours, in: Proc. Congrès Francophone de Reconnaissance des Formes et Intelligence Artificielle (RFIA'06), Tours, January 2006.
[65]
V. Racine, A. Hertzog, J. Jouanneau, J. Salamero, C. Kervrann, J. B. Sibarita.
Multiple target tracking of 3D fluorescent objects based on simulated annealing, in: Proc. Int. Symp. on Biomedical Imaging (ISBI'06), Arlington, USA, April 2006.
[66]
C. Simonin, J.-P. Le Cadre, F. Dambreville.
A solution-learning method for planning a hierarchical surveillance, in: Proc. Conf. Rare Event Simulation (RESIM'06), Bamberg, Germany, Sept. 2006.
[67]
A. Szantai, P. Heas, E. Mémin.
Comparison of atmospheric motion vectors and dense vector fields calculated from MSG images, in: Proc. Int. Winds Workshop, Beijing, China, 2006.
[68]
J.-M. Vanpeperstraete, J.-P. Le Cadre.
Robust detection of target maneuvers, in: Proc. Conf. on Information Fusion (Fusion'06), Florence, Italy, July 2006.
[69]
R. Venkatesh Babu, P. Pérez, P. Bouthemy.
Kernel-based robust tracking for objects undergoing occlusion, in: Proc. Asian Conf. on Computer Vision (ACCV'06), Hyderabad, India, January 2006.

Internal Reports

[70]
J. Boulanger, C. Kervrann, P. Bouthemy.
Space-time adaptation for patch-based image sequence restoration, Technical report, IRISA, Rennes, France, April 2006, no 1798
http://hal.inria.fr/inria-00071294.
[71]
T. Veit, F. Cao, P. Bouthemy.
An a contrario space-time grouping framework for the detection of coherent motions, Research Report, INRIA, 11 2006, no 6061
https://hal.inria.fr/inria-00115435.

Miscellaneous

[72]
C. Djeraba, M. Gabbouj, P. Bouthemy.
Multimedia indexing and retrieval: ever great challenges (guest editorial), 2006, vol. 30, no 3, Multimedia Tools and Applications, special issue.

References in notes

[73]
P. Bouthemy, E. François.
Motion segmentation and qualitative dynamic scene analysis from an image sequence, in: Int. Journal of Computer Vision, April 1993, vol. 10, no 2, p. 157-182.
[74]
Y. Boykov, O. Veksler, R. Zabih.
Efficient approximate energy minimization via graph cuts, in: IEEE Trans. on Pattern Analysis and Machine Intellingence, November 2001, vol. 20, no 12, p. 1222-1239.
[75]
V. Caselles, L. Igual, O. Sander.
An axiomatic approach to scalar data interpolation on surfaces, in: Nümerische Matematik, 2006.
[76]
V. Caselles, J.-M. Morel, C. Sbert.
An axiomatic approach to image interpolation, in: IEEE Trans. on Image Processing, March 1998, vol. 7, no 3, p. 376-386.
[77]
T. Corpetti, E. Mémin, P. Pérez.
Dense estimation of fluid flows., in: IEEE Trans. on Pattern Analysis and Machine Intelligence, March 2002, vol. 24, no 3, p. 365-380.
[78]
T. Corpetti, E. Mémin, P. Pérez.
Extraction of singular points from dense motion fields: an analytic approach, in: Journal of Mathematical Imaging and Vision, 2003, vol. 19, no 3, p. 175-198.
[79]
A. Desolneux, L. Moisan, J.-M. Morel.
A grouping principle and four applications, in: IEEE Trans. on Pattern Analysis and Machine Intelligence, 2003, vol. 25, no 4, p. 508-513.
[80]
A. Doucet, S. Godsill, C. Andrieu.
On sequential Monte Carlo sampling methods for Bayesian filtering, in: Statistics and Computing, 2000, vol. 10, no 3, p. 197-208.
[81]
R. Fablet, P. Bouthemy.
Non-parametric scene activity analysis for statistical retrieval with partial query, in: Journal of Mathematical Imaging and Vision, May 2001, vol. 14, no 3, p. 257-270.
[82]
M. Gelgon, P. Bouthemy.
A region-level motion-based graph representation and labeling for tracking a spatial image partition, in: Pattern Recognition, April 2000, vol. 33, no 4, p. 725-745.
[83]
F. Heitz, P. Bouthemy.
Multimodal estimation of discontinuous optical flow using Markov random fields, in: IEEE Trans. on Pattern Analysis and Machine Intelligence, December 1993, vol. 15, no 12, p. 1217-1232.
[84]
F. Heitz, P. Pérez, P. Bouthemy.
Multiscale minimization of global energy functions in some visual recovery problems, in: CVGIP : Image Understanding, 1994, vol. 59, no 1, p. 125-134.
[85]
M. Isard, A. Blake.
CONDENSATION–Conditional Density Propagation for Visual Tracking, in: Int. Journal of Computer Vision, 1998, vol. 29, no 1, p. 5-28.
[86]
G. Kitagawa.
Monte Carlo filter and smoother for non-Gaussian nonlinear state space models, in: J. Computational and Graphical Stat., 1996, vol. 5, no 1, p. 1-25.
[87]
V. Kolmogorov, R. Zabih.
What energy functions can be minimized via graph cuts?, in: IEEE Trans. on Pattern Analysis and Machine Intelligence, February 2004, vol. 26, no 2, p. 147-159.
[88]
E. Mémin, P. Pérez.
Hierarchical estimation and segmentation of dense motion fields, in: Int. Journal of Computer Vision, February 2002, vol. 46, no 2, p. 129-155.
[89]
E. Mémin, P. Pérez.
Dense estimation and object-based segmentation of the optical flow with robust techniques, in: IEEE Trans. on Image Processing, May 1998, vol. 7, no 5, p. 703-719.
[90]
J.-M. Odobez, P. Bouthemy.
Robust multiresolution estimation of parametric motion models, in: Journal of Visual Communication and Image Representation, December 1995, vol. 6, no 4, p. 348-365.
[91]
J.-M. Odobez, P. Bouthemy.
Direct incremental model-based image motion segmentation for video analysis, in: Signal Processing, 1998, vol. 6, no 2, p. 143-155.
[92]
L. Rabiner.
A tutorial on hidden Markov models and selected applications in speech recognition, in: Proceedings of IEEE, February 1989, vol. 77, no 2, p. 257-286.

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