Computation and analysis of image motion: A synopsis of current problems and methods
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[1] Donald Geman,et al. Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images , 1984 .
[2] Ramesh C. Jain,et al. Illumination independent change detection for real world image sequences , 1989, Comput. Vis. Graph. Image Process..
[3] Alex Pentland,et al. Recovery of non-rigid motion and structure , 1991, Proceedings. 1991 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[4] K. Nakayama,et al. Optical Velocity Patterns, Velocity-Sensitive Neurons, and Space Perception: A Hypothesis , 1974, Perception.
[5] Laurent D. Cohen,et al. On active contour models and balloons , 1991, CVGIP Image Underst..
[6] Edward H. Adelson,et al. Representing moving images with layers , 1994, IEEE Trans. Image Process..
[7] Alex Pentland,et al. Automatic extraction of deformable part models , 1990, International Journal of Computer Vision.
[8] Joseph K. Kearney,et al. Optical Flow Estimation: An Error Analysis of Gradient-Based Methods with Local Optimization , 1987, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[9] Alessandro Verri,et al. Computing optical flow from an overconstrained system of linear algebraic equations , 1990, [1990] Proceedings Third International Conference on Computer Vision.
[10] C.-C. Jay Kuo,et al. Wavelet deformable model for shape description and multiscale elastic matching , 1993, Other Conferences.
[11] Robert C. Bolles,et al. Generalizing Epipolar-Plane Image Analysis on the spatiotemporal surface , 2004, International Journal of Computer Vision.
[12] Shahriar Negahdaripour,et al. A generalized brightness change model for computing optical flow , 1993, 1993 (4th) International Conference on Computer Vision.
[13] Jun Ma,et al. A motion constraint equation under space-varying or time-varying illumination , 1987, Pattern Recognit. Lett..
[14] Ahmed Tamtaoui,et al. Constrained disparity and motion estimators for 3DTV image sequence coding , 1991, Signal Process. Image Commun..
[15] Eric Dubois,et al. Estimation of motion fields from image sequences with illumination variation , 1991, [Proceedings] ICASSP 91: 1991 International Conference on Acoustics, Speech, and Signal Processing.
[16] Paolo Nesi,et al. Variational approach to optical flow estimation managing discontinuities , 1993, Image Vis. Comput..
[17] TerzopoulosDemetri,et al. Dynamic 3D Models with Local and Global Deformations , 1991 .
[18] Allen M. Waxman,et al. Contour Evolution, Neighborhood Deformation, and Global Image Flow: Planar Surfaces in Motion , 1985 .
[19] Baba C. Vemuri,et al. Multiresolution stochastic hybrid shape models with fractal priors , 1994, TOGS.
[20] David W. Murray,et al. Experiments in the machine interpretation of visual motion , 1990 .
[21] Jake K. Aggarwal,et al. On Smoothness of a Vector Field-Application to Optical Flow , 1988, IEEE Trans. Pattern Anal. Mach. Intell..
[22] Berthold K. P. Horn. Robot vision , 1986, MIT electrical engineering and computer science series.
[23] D J Heeger,et al. Model for the extraction of image flow. , 1987, Journal of the Optical Society of America. A, Optics and image science.
[24] A. Verri,et al. Differential techniques for optical flow , 1990 .
[25] Azriel Rosenfeld,et al. Robust regression methods for computer vision: A review , 1991, International Journal of Computer Vision.
[26] Aggelos K. Katsaggelos,et al. A recursive nonstationary MAP displacement vector field estimation algorithm , 1995, IEEE Trans. Image Process..
[27] Z. M. Hefed. Object tracking , 1999 .
[28] T. M. Chin,et al. Probabilistic and sequential computation of optical flow using temporal coherence , 1994, IEEE Trans. Image Process..
[29] M. S. Ulstad,et al. An algorithm for estimating small scale differences between two digital images , 1973, Pattern Recognit..
[30] Til Aach,et al. Statistical model-based change detection in moving video , 1993, Signal Process..
[31] James J. Little,et al. Direct evidence for occlusion in stereo and motion , 1990, Image Vis. Comput..
[32] Hilary Buxton,et al. Computation of optic flow from the motion of edge features in image sequences , 1984, Image Vis. Comput..
[33] Jean-Marc Odobez,et al. Robust Multiresolution Estimation of Parametric Motion Models , 1995, J. Vis. Commun. Image Represent..
[34] B. G. Schunck. The image flow constraint equation , 1986 .
[35] E H Adelson,et al. Spatiotemporal energy models for the perception of motion. , 1985, Journal of the Optical Society of America. A, Optics and image science.
[36] William B. Thompson,et al. Disparity Analysis of Images , 1980, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[37] Patrick Bouthemy,et al. Region-Based Tracking Using Affine Motion Models in Long Image Sequences , 1994 .
[38] Rachid Deriche,et al. Tracking line segments , 1990, Image Vis. Comput..
[39] Michal Irani,et al. Detecting and Tracking Multiple Moving Objects Using Temporal Integration , 1992, ECCV.
[40] Michal Irani,et al. Computing occluding and transparent motions , 1994, International Journal of Computer Vision.
[41] R. Bajcsy. Active perception , 1988 .
[42] Henri Nicolas,et al. Global motion identification for image sequence analysis and coding , 1991, [Proceedings] ICASSP 91: 1991 International Conference on Acoustics, Speech, and Signal Processing.
[43] Ramakant Nevatia,et al. Matching Images Using Linear Features , 1984, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[44] Juyang Weng,et al. A theory of image matching , 1990, [1990] Proceedings Third International Conference on Computer Vision.
[45] QU ProgrammingGeorgesM.. Computation of Optical Flow using Dynamic , 1996 .
[46] Robert THOMA,et al. Motion compensating interpolation considering covered and uncovered background , 1989, Signal Process. Image Commun..
[47] Alan L. Yuille,et al. A mathematical analysis of the motion coherence theory , 1989, International Journal of Computer Vision.
[48] Charles R. Dyer,et al. Computing spatiotemporal surface flow , 1990, [1990] Proceedings Third International Conference on Computer Vision.
[49] Anselm Spoerri,et al. The early detection of motion boundaries , 1990, ICCV 1987.
[50] K. Rohr. Towards model-based recognition of human movements in image sequences , 1994 .
[51] Allen M. Waxman,et al. Closed-form solutions to image flow equations for 3D structure and motion , 1988, International Journal of Computer Vision.
[52] Christoph Schnörr,et al. Determining optical flow for irregular domains by minimizing quadratic functionals of a certain class , 1991, International Journal of Computer Vision.
[53] Allen M. Waxman,et al. Convected activation profiles and the measurement of visual motion , 1988, Proceedings CVPR '88: The Computer Society Conference on Computer Vision and Pattern Recognition.
[54] Shaogang Gong,et al. Parallel Computation Of Optic Flow , 1990, ECCV.
[55] Stefan Carlsson. Information In The Geometric Structure Of Retinal Flow Fields , 1988, [1988 Proceedings] Second International Conference on Computer Vision.
[56] K. P. Karmann,et al. Moving object recognition using an adaptive background memory , 1990 .
[57] M. Shizawa,et al. Principle of superposition: a common computational framework for analysis of multiple motion , 1991, Proceedings of the IEEE Workshop on Visual Motion.
[58] Allen M. Waxman,et al. Binocular Image Flows: Steps Toward Stereo-Motion Fusion , 1986, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[59] Tomaso A. Poggio,et al. Motion Field and Optical Flow: Qualitative Properties , 1989, IEEE Trans. Pattern Anal. Mach. Intell..
[60] Thomas S. Huang,et al. Motion analysis and epicardial deformation estimation from angiography data , 1991, Proceedings. 1991 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[61] Takeo Kanade,et al. Adapting optical-flow to measure object motion in reflectance and x-ray image sequences (abstract only) , 1984, COMG.
[62] G. Wasilkowski,et al. Computing optical flow , 1989, [1989] Proceedings. Workshop on Visual Motion.
[63] Don R. Hush,et al. Change detection for target detection and classification in video sequences , 1988, ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing.
[64] William B. Thompson,et al. Detecting moving objects , 1989, International Journal of Computer Vision.
[65] John A. Stuller,et al. Kalman filter formulation of low-Level television image motion estimation , 1983, Comput. Vis. Graph. Image Process..
[66] G. Granlund,et al. Estimation of velocity, acceleration and disparity in time sequences , 1991, Proceedings of the IEEE Workshop on Visual Motion.
[67] Larry S. Davis,et al. Motion estimation based on multiple local constraints and nonlinear smoothing , 1983, Pattern Recognit..
[68] A. Mitiche. Computational Analysis of Visual Motion , 1994, Advances in Computer Vision and Machine Intelligence.
[69] P. Anandan,et al. A computational framework and an algorithm for the measurement of visual motion , 1987, International Journal of Computer Vision.
[70] C. Morandi,et al. Registration of Translated and Rotated Images Using Finite Fourier Transforms , 1987, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[71] Patrick Bouthemy,et al. A Maximum Likelihood Framework for Determining Moving Edges , 1989, IEEE Trans. Pattern Anal. Mach. Intell..
[72] Tomaso Poggio,et al. Probabilistic Solution of Ill-Posed Problems in Computational Vision , 1987 .
[73] Ramesh C. Jain,et al. Structure from motion-a critical analysis of methods , 1991, IEEE Trans. Syst. Man Cybern..
[74] Ramesh Jain,et al. Dynamic scene analysis , 1984 .
[75] Jean-Marc Odobez,et al. Determination of singular points in 2D deformable flow fields , 1995, Proceedings., International Conference on Image Processing.
[76] Massimo Tistarelli,et al. Multiple Constraints for Optical Flow , 1994, ECCV.
[77] V. S. Hwang,et al. Tracking feature points in time-varying images using an opportunistic selection approach , 1989, Pattern Recognit..
[78] HANS-HELLMUT NAGEL,et al. On a Constraint Equation for the Estimation of Displacement Rates in Image Sequences , 1989, IEEE Trans. Pattern Anal. Mach. Intell..
[79] Shahriar Negahdaripour,et al. Motion recovery from image sequences using only first order optical flow information , 1992, International Journal of Computer Vision.
[80] Randal C. Nelson. Qualitative detection of motion by a moving observer , 2004, International Journal of Computer Vision.
[81] Dimitris N. Metaxas,et al. Dynamic 3D models with local and global deformations: deformable superquadrics , 1990, [1990] Proceedings Third International Conference on Computer Vision.
[82] O. Faugeras. Three-dimensional computer vision: a geometric viewpoint , 1993 .
[83] Yee-Hong Yang,et al. The background primal sketch: An approach for tracking moving objects , 1992, Machine Vision and Applications.
[84] Samuel S. Blackman,et al. Multiple-Target Tracking with Radar Applications , 1986 .
[85] Patrick Bouthemy,et al. Modeling of Atmospheric Disturbances in Meteorological Pictures , 1984, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[86] U. Grenander,et al. Structural Image Restoration through Deformable Templates , 1991 .
[87] Bernd Girod,et al. Motion Analysis and Image Sequence Processing , 1993 .
[88] Valdis Berzins,et al. Dynamic Occlusion Analysis in Optical Flow Fields , 1985, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[89] Ralph Hartley,et al. Segmentation of optical flow fields by pyramid linking , 1985, Pattern Recognit. Lett..
[90] H. Redkey,et al. A new approach. , 1967, Rehabilitation record.
[91] Ajit Singh,et al. Incremental estimation of image flow using a Kalman filter , 1992, J. Vis. Commun. Image Represent..
[92] Robert J. Woodham. Multiple light source optical flow , 1990, [1990] Proceedings Third International Conference on Computer Vision.
[93] Alex Pentland,et al. Closed-form solutions for physically-based shape modeling and recognition , 1991, Proceedings. 1991 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[94] Michael J. Black,et al. A framework for the robust estimation of optical flow , 1993, 1993 (4th) International Conference on Computer Vision.
[95] Bir Bhanu,et al. Qualitative Motion Understanding , 1987, IJCAI.
[96] Dana H. Ballard,et al. Egomotion perception using visual tracking , 1991, Comput. Intell..
[97] R. Hetherington. The Perception of the Visual World , 1952 .
[98] Hassan J. Eghbali,et al. K-S Test for Detecting Changes from Landsat Imagery Data , 1979, IEEE Transactions on Systems, Man, and Cybernetics.
[99] Roberto Battiti,et al. Computing optical flow across multiple scales: An adaptive coarse-to-fine strategy , 1991, International Journal of Computer Vision.
[100] Hans-Hellmut Nagel,et al. Image Sequences - Ten (Octal) Years - from phenomenology towards a Theoretical Foundation , 1988, Int. J. Pattern Recognit. Artif. Intell..
[101] Siu-Leong Iu. Robust Estimation of Motion Vector Fields with Discontinuity and Occlusion Using Local Outliers Rejection , 1995, J. Vis. Commun. Image Represent..
[102] David W. Murray,et al. Scene Segmentation from Visual Motion Using Global Optimization , 1987, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[103] Berthold K. P. Horn,et al. Determining Optical Flow , 1981, Other Conferences.
[104] Nadia Baaziz,et al. Multiconstraint Wiener-based motion compensation using wavelet pyramids , 1994, IEEE Trans. Image Process..
[105] Christopher M. Brown,et al. Where to Look Next Using a Bayes Net: Incorporating Geometric Relations , 1992, ECCV.
[106] James J. Clark,et al. On local detection of moving edges , 1990, [1990] Proceedings. 10th International Conference on Pattern Recognition.
[107] Timothy F. Cootes,et al. Use of active shape models for locating structures in medical images , 1994, Image Vis. Comput..
[108] Charles R. Dyer,et al. Computing spatiotemporal relations for dynamic perceptual organization , 1993 .
[109] Jin Liu,et al. Stereo and motion correspondence in a sequence of stereo images , 1993, Signal Process. Image Commun..
[110] Charles Kervrann,et al. A hierarchical statistical framework for the segmentation of deformable objects in image sequences , 1994, 1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.
[111] Shmuel Peleg,et al. Motion based segmentation , 1990, [1990] Proceedings. 10th International Conference on Pattern Recognition.
[112] Alan L. Yuille,et al. Feature extraction from faces using deformable templates , 2004, International Journal of Computer Vision.
[113] Randal C. Nelson,et al. Qualitative recognition of motion using temporal texture , 1992, CVGIP Image Underst..
[114] Wesley E. Snyder,et al. The detection of unresolved targets using the Hough Transform , 1982, Comput. Vis. Graph. Image Process..
[115] F. Glazer. Multilevel Relaxation in Low-Level Computer Vision , 1984 .
[116] Robert M. Haralick,et al. Wigner Distribution for 2D Motion Estimation from Noisy Images , 1993, J. Vis. Commun. Image Represent..
[117] D. Boekee,et al. A pel-recursive Wiener-based displacement estimation algorithm , 1987 .
[118] A. Marchewka,et al. Motion analysis for image sequence coding , 2006 .
[119] Yee-Hong Yang,et al. Experimental evaluation of motion constraint equations , 1991, CVGIP Image Underst..
[120] Demetri Terzopoulos,et al. Snakes: Active contour models , 2004, International Journal of Computer Vision.
[121] P. Bouthemy,et al. Recovery of moving object masks in an image sequence using local spatiotemporal contextual information , 1993 .
[122] Yiannis Aloimonos,et al. Obstacle Avoidance Using Flow Field Divergence , 1989, IEEE Trans. Pattern Anal. Mach. Intell..
[123] Allen M. Waxman,et al. The Analytic Structure of Image Flows: Deformation and Segmentation , 1990, Comput. Vis. Graph. Image Process..
[124] Michael J. Black. Combining Intensity and Motion for Incremental Segmentation and Tracking Over Long Image Sequences , 1992, ECCV.
[125] VerriA.,et al. Motion Field and Optical Flow , 1989 .
[126] Christopher Brown. Prediction and cooperation in gaze control , 1990, Biological Cybernetics.
[127] Michael Hoetter. Differential estimation of the global motion parameters zoom and pan , 1989 .
[128] Johan Wiklund,et al. Image Sequence Analysis for Object Tracking. , 1987 .
[129] Jan-Olof Eklundh,et al. Integrating primary ocular processes , 1992, Image Vis. Comput..
[130] Ramesh C. Jain,et al. Computerized Flow Field Analysis: Oriented Texture Fields , 1992, IEEE Trans. Pattern Anal. Mach. Intell..
[131] Patrick Bouthemy,et al. Estimation of time-to-collision maps from first order motion models and normal flows , 1992, [1992] Proceedings. 11th IAPR International Conference on Pattern Recognition.
[132] Hans-Hellmut Nagel,et al. An Investigation of Smoothness Constraints for the Estimation of Displacement Vector Fields from Image Sequences , 1983, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[133] Jake K. Aggarwal,et al. On the computation of motion from sequences of images-A review , 1988, Proc. IEEE.
[134] Anil K. Jain,et al. Random field models in image analysis , 1989 .
[135] Rachid Deriche,et al. Tracking complex primitives in an image sequence , 1994, Proceedings of 12th International Conference on Pattern Recognition.
[136] Edward H. Adelson,et al. The extraction of Spatio-temporal Energy in Human and Machine Vision , 1997 .
[137] Harry Wechsler,et al. Derivation of optical flow using a spatiotemporal-Frequency approach , 1987, Comput. Vis. Graph. Image Process..
[138] S. Negahdaripour,et al. Relaxing the Brightness Constancy Assumption in Computing Optical Flow , 1987 .
[139] Thomas Skordas,et al. An image motion estimation technique based on a combined statistical test and spatiotemporal generalised likelihood ratio approach , 1994, ECCV.
[140] Donald Geman,et al. Boundary Detection by Constrained Optimization , 1990, IEEE Trans. Pattern Anal. Mach. Intell..
[141] Ramesh C. Jain,et al. Detection of moving edges , 1982, Comput. Graph. Image Process..
[142] Eric Dubois,et al. Multigrid Bayesian Estimation Of Image Motion Using Stochastic Relaxation , 1988, [1988 Proceedings] Second International Conference on Computer Vision.
[143] Andrew Blake,et al. Surface Orientation and Time to Contact from Image Divergence and Deformation , 1992, ECCV.
[144] Nicholas Ayache,et al. Tracking Points on Deformable Objects Using Curvature Information , 1992, ECCV.
[145] Hans-Hellmut Nagel,et al. From image sequences towards conceptual descriptions , 1988, Image Vis. Comput..
[146] Peter J. Burt,et al. Object tracking with a moving camera , 1989, [1989] Proceedings. Workshop on Visual Motion.
[147] M. A. Snyder. On the Mathematical Foundations of Smoothness Constraints for the Determination of Optical Flow and for Surface Reconstruction , 1991, IEEE Trans. Pattern Anal. Mach. Intell..
[148] N. Ahuja,et al. Segmentation, matching and estimation of structure and motion of textured piecewise planar surfaces , 1991, Proceedings of the IEEE Workshop on Visual Motion.
[149] M. Bertero,et al. Ill-posed problems in early vision , 1988, Proc. IEEE.
[150] Jin Luo,et al. Computing motion using analog and binary resistive networks , 1988, Computer.
[151] P. Simard,et al. Restoration of the velocity field of the heart from two-dimensional echocardiograms. , 1989, IEEE transactions on medical imaging.
[152] Ishwar K. Sethi,et al. Finding Trajectories of Feature Points in a Monocular Image Sequence , 1987, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[153] Samia Boukir,et al. Optimal estimation of 3D structures using visual servoing , 1994, 1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.
[154] Hans-Hellmut Nagel,et al. Motion Boundary Detection in Image Sequences by Local Stochastic Tests , 1994, ECCV.
[155] Hans-Hellmut Nagel,et al. New likelihood test methods for change detection in image sequences , 1984, Comput. Vis. Graph. Image Process..
[156] Christoph Stiller. A statistical image model for motion estimation , 1993, 1993 IEEE International Conference on Acoustics, Speech, and Signal Processing.
[157] Patrick Bouthemy,et al. Motion segmentation and qualitative dynamic scene analysis from an image sequence , 1993, International Journal of Computer Vision.
[158] David J. Heeger,et al. Optical flow using spatiotemporal filters , 2004, International Journal of Computer Vision.
[159] Josef Kittler,et al. General motion estimation and segmentation , 1990, Other Conferences.
[160] Demetri Terzopoulos,et al. Deformable models , 2000, The Visual Computer.
[161] Olivier D. Faugeras,et al. A theory of the motion fields of curves , 1993, International Journal of Computer Vision.
[162] Wilfried Enkelmann,et al. Investigations of multigrid algorithms for the estimation of optical flow fields in image sequences , 1988, Comput. Vis. Graph. Image Process..
[163] Kenji Mase,et al. Simultaneous multiple optical flow estimation , 1990, [1990] Proceedings. 10th International Conference on Pattern Recognition.
[164] Josef Bigün,et al. Segmentation of moving objects by robust motion parameter estimation over multiple frames , 1994, ECCV.
[165] Tzay Y. Young,et al. A Mathematical Model for Computer Image Tracking , 1982, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[166] Yiannis Aloimonos,et al. Active vision , 2004, International Journal of Computer Vision.
[167] Patrick Bouthemy,et al. Derivation of qualitative information in motion analysis , 1990, Image Vis. Comput..
[168] D A Gordon,et al. Static and dynamic visul fields in human space perception. , 1965, Journal of the Optical Society of America.
[169] P. Anandan,et al. Hierarchical Model-Based Motion Estimation , 1992, ECCV.
[170] Brian G. Schunck,et al. Image Flow Segmentation and Estimation by Constraint Line Clustering , 1989, IEEE Trans. Pattern Anal. Mach. Intell..
[171] Ernest L. Hall,et al. Sequential Hierarchical Scene Matching , 1978, IEEE Transactions on Computers.
[172] E. Lehmann. Testing Statistical Hypotheses , 1960 .
[173] Gösta H. Granlund,et al. Image Sequence Analysis , 1993, DAGM-Symposium.
[174] Lisa M. Brown,et al. A survey of image registration techniques , 1992, CSUR.
[175] Giulio Sandini,et al. Dynamic aspects in active vision , 1992, CVGIP Image Underst..
[176] Rama Chellappa,et al. A computational vision approach to image registration , 1993, IEEE Trans. Image Process..
[177] Yuan-Fang Wang,et al. Experiments in computing optical flow with the gradient-based, multiconstraint method , 1987, Pattern Recognit..
[178] Demetri Terzopoulos,et al. Physically based models with rigid and deformable components , 1988, IEEE Computer Graphics and Applications.
[179] R. Singer. Estimating Optimal Tracking Filter Performance for Manned Maneuvering Targets , 1970, IEEE Transactions on Aerospace and Electronic Systems.
[180] Yiannis Aloimonos,et al. The role of fixation in visual motion analysis , 1993, International Journal of Computer Vision.
[181] David J. Fleet,et al. Hierarchical Construction of Orientation and Velocity Selective Filters , 1989, IEEE Trans. Pattern Anal. Mach. Intell..
[182] James L. Crowley,et al. Measuring Image Flow By Tracking Edge-lines , 1988, [1988 Proceedings] Second International Conference on Computer Vision.
[183] A. Pentland,et al. Robust estimation of a multi-layered motion representation , 1991, Proceedings of the IEEE Workshop on Visual Motion.
[184] David J. Fleet,et al. Performance of optical flow techniques , 1994, International Journal of Computer Vision.
[185] Andrew Blake,et al. A framework for spatiotemporal control in the tracking of visual contours , 1993, International Journal of Computer Vision.
[186] Nicholas Ayache,et al. Fast segmentation, tracking, and analysis of deformable objects , 1993, 1993 (4th) International Conference on Computer Vision.
[187] Yiannis Aloimonos,et al. Purposive and qualitative active vision , 1990, [1990] Proceedings. 10th International Conference on Pattern Recognition.
[188] J. H. Duncan,et al. On the Detection of Motion and the Computation of Optical Flow , 1992, IEEE Trans. Pattern Anal. Mach. Intell..
[189] A. Murat Tekalp,et al. Digital Video Processing , 1995 .
[190] Giulio Sandini,et al. 3D object reconstruction using stereo and motion , 1989, IEEE Trans. Syst. Man Cybern..
[191] Patrick Bouthemy,et al. Motion detection robust to perturbations: A statistical regularization and temporal integration framework , 1993, 1993 (4th) International Conference on Computer Vision.
[192] Thomas S. Huang,et al. Motion and structure from feature correspondences: a review , 1994, Proc. IEEE.
[193] Steven D. Blostein,et al. Detecting small, moving objects in image sequences using sequential hypothesis testing , 1991, IEEE Trans. Signal Process..
[194] Roger W. Brockett,et al. A Contour-Based Recovery of Image Flow: Iterative Transformation Method , 1991, IEEE Trans. Pattern Anal. Mach. Intell..
[195] G. Gordon,et al. On the tracking of featureless objects with occlusion , 1989, [1989] Proceedings. Workshop on Visual Motion.
[196] Petros Maragos,et al. Region-based optical flow estimation , 1989, Proceedings CVPR '89: IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[197] Jean-Marc Odobez,et al. Detection of multiple moving objects using multiscale MRF with camera motion compensation , 1994, Proceedings of 1st International Conference on Image Processing.
[198] Yaakov Bar-Shalom,et al. Tracking methods in a multitarget environment , 1978 .
[199] James S. Duncan,et al. Boundary Finding with Parametrically Deformable Models , 1992, IEEE Trans. Pattern Anal. Mach. Intell..
[200] Judea Pearl,et al. On Evidential Reasoning in a Hierarchy of Hypotheses , 1990, Artif. Intell..
[201] S. Negahdaripour,et al. Motion recovery from image sequences using First-order optical flow information , 1991, Proceedings of the IEEE Workshop on Visual Motion.
[202] Nicholas Ayache,et al. Features extraction and analysis methods for sequences of ultrasound Images , 1992, Image Vis. Comput..
[203] Robert J. Schalkoff,et al. A Model and Tracking Algorithm for a Class of Video Targets , 1982, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[204] R. Regan,et al. The detection of , 1973 .
[205] Jacques Droulez,et al. Velocity-based correspondence in stereokinetic images , 1993 .
[206] A J Ahumada,et al. Model of human visual-motion sensing. , 1985, Journal of the Optical Society of America. A, Optics and image science.
[207] Eric Dubois,et al. Bayesian Estimation of Motion Vector Fields , 1992, IEEE Trans. Pattern Anal. Mach. Intell..
[208] A. Murat Tekalp,et al. An algorithm for simultaneous motion estimation and scene segmentation , 1994, Proceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing.
[209] Giulio Sandini,et al. Active Tracking Strategy for Monocular Depth Inference over Multiple Frames , 1990, IEEE Trans. Pattern Anal. Mach. Intell..
[210] Alan M. Wood,et al. Motion analysis , 1986 .
[211] Edward H. Adelson,et al. Probability distributions of optical flow , 1991, Proceedings. 1991 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[212] Hans-Hellmut Nagel,et al. On the Estimation of Optical Flow: Relations between Different Approaches and Some New Results , 1987, Artif. Intell..
[213] Andrea J. van Doorn,et al. Invariant Properties of the Motion Parallax Field due to the Movement of Rigid Bodies Relative to an Observer , 1975 .
[214] Michèle Basseville,et al. Detecting changes in signals and systems - A survey , 1988, Autom..
[215] Bruce A. Thomas,et al. Image Models for 2-D Flow Visualization and Compression , 1994, CVGIP Graph. Model. Image Process..
[216] J. Kittler,et al. Robust motion analysis , 1994, 1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.
[217] Timothy F. Cootes,et al. Active Shape Models-Their Training and Application , 1995, Comput. Vis. Image Underst..
[218] Lee E. Weiss,et al. Dynamic sensor-based control of robots with visual feedback , 1987, IEEE Journal on Robotics and Automation.
[219] Amar Mitiche,et al. A Computational Approach to the Fusion of Stereopsis and Kineopsis , 1988 .
[220] Radu Horaud,et al. Stereo Correspondence Through Feature Grouping and Maximal Cliques , 1989, IEEE Trans. Pattern Anal. Mach. Intell..
[221] Ellen C. Hildreth,et al. Computations Underlying the Measurement of Visual Motion , 1984, Artif. Intell..
[222] Tzay Y. Young,et al. Dynamic estimation of optical flow field using objective functions , 1989, Image Vis. Comput..
[223] Jitendra Malik,et al. Robust computation of optical flow in a multi-scale differential framework , 2005, International Journal of Computer Vision.
[224] Gilad Adiv,et al. Determining Three-Dimensional Motion and Structure from Optical Flow Generated by Several Moving Objects , 1985, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[225] Vishal Markandey,et al. Multispectral constraints for optical flow computation , 1990, [1990] Proceedings Third International Conference on Computer Vision.
[226] Jake K. Aggarwal,et al. Determining object motion in a sequence of stereo images , 1987, IEEE Journal on Robotics and Automation.
[227] Ulf Grenander,et al. Hands: A Pattern Theoretic Study of Biological Shapes , 1990 .
[228] Patrick Rives,et al. A new approach to visual servoing in robotics , 1992, IEEE Trans. Robotics Autom..
[229] Michael J. Black,et al. Robust dynamic motion estimation over time , 1991, Proceedings. 1991 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[230] Philip H. S. Torr,et al. Statistical detection of independent movement from a moving camera , 1993, Image Vis. Comput..
[231] Patrick Bouthemy,et al. Multimodal Estimation of Discontinuous Optical Flow using Markov Random Fields , 1993, IEEE Trans. Pattern Anal. Mach. Intell..
[232] Patrick Bouthemy,et al. Multimodal motion estimation and segmentation using Markov random fields , 1990, [1990] Proceedings. 10th International Conference on Pattern Recognition.
[233] Yung-Sheng Chen,et al. Automatic approach to mapping a lifelike 2.5D human face , 1994, Image Vis. Comput..
[234] Hans-Hellmut Nagel,et al. Extending the 'Oriented Smoothness Constraint' into the Temporal Domain and the Estimation of Derivatives of Optical Flow , 1990, ECCV.
[235] Steven D. Blostein,et al. ROBUST ALGORITHMS FOR MOTION ESTIMATION BASED ON TWO SEQUENTIAL STEREO IMAGE PAIRS. , 1985 .
[236] Gang Xu,et al. Tracking Human Body Motion Based on a Stick Figure Model , 1994, J. Vis. Commun. Image Represent..
[237] Demetri Terzopoulos,et al. Image Analysis Using Multigrid Relaxation Methods , 1986, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[238] Alessandro Verri,et al. Motion analysis from first-order properties of optical flow , 1992, CVGIP Image Underst..