Steps towards the object semantic hierarchy

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[1]  Dorin Comaniciu,et al.  Mean Shift: A Robust Approach Toward Feature Space Analysis , 2002, IEEE Trans. Pattern Anal. Mach. Intell..

[2]  Deborah Estrin,et al.  Warping background subtraction , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[3]  Changhai Xu,et al.  Real-time indoor scene understanding using Bayesian filtering with motion cues , 2011, 2011 International Conference on Computer Vision.

[4]  Dana Cobzas,et al.  3D SSD tracking with estimated 3D planes , 2005, The 2nd Canadian Conference on Computer and Robot Vision (CRV'05).

[5]  Bernhard P. Wrobel,et al.  Multiple View Geometry in Computer Vision , 2001 .

[6]  Cordelia Schmid,et al.  3D Object Modeling and Recognition Using Local Affine-Invariant Image Descriptors and Multi-View Spatial Constraints , 2006, International Journal of Computer Vision.

[7]  Jiri Matas,et al.  Robust wide-baseline stereo from maximally stable extremal regions , 2004, Image Vis. Comput..

[8]  Zhengyou Zhang,et al.  Determining the Epipolar Geometry and its Uncertainty: A Review , 1998, International Journal of Computer Vision.

[9]  Takeo Kanade,et al.  Background Subtraction for Freely Moving Cameras , 2009, 2009 IEEE 12th International Conference on Computer Vision.

[10]  Kyoung Mu Lee,et al.  Monocular SLAM with locally planar landmarks via geometric rao-blackwellized particle filtering on Lie groups , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[11]  Pietro Perona,et al.  Unsupervised Learning of Models for Recognition , 2000, ECCV.

[12]  G. Klein,et al.  Parallel Tracking and Mapping for Small AR Workspaces , 2007, 2007 6th IEEE and ACM International Symposium on Mixed and Augmented Reality.

[13]  D. Marr,et al.  Representation and recognition of the spatial organization of three-dimensional shapes , 1978, Proceedings of the Royal Society of London. Series B. Biological Sciences.

[14]  Ian D. Reid,et al.  Locally Planar Patch Features for Real-Time Structure from Motion , 2004, BMVC.

[15]  Dorin Comaniciu,et al.  Kernel-Based Object Tracking , 2003, IEEE Trans. Pattern Anal. Mach. Intell..

[16]  Hans-Peter Seidel,et al.  Drift-free tracking of rigid and articulated objects , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

[17]  P. KaewTrakulPong,et al.  An Improved Adaptive Background Mixture Model for Real-time Tracking with Shadow Detection , 2002 .

[18]  Jitendra Malik,et al.  Normalized cuts and image segmentation , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[19]  Claude C. Chibelushi,et al.  Robust Facial Feature Tracking , 2000, BMVC.

[20]  Elizabeth S. Spelke,et al.  Principles of Object Perception , 1990, Cogn. Sci..

[21]  Luigi di Stefano,et al.  An effective real-time mosaicing algorithm apt to detect motion through background subtraction using a PTZ camera , 2005, IEEE Conference on Advanced Video and Signal Based Surveillance, 2005..

[22]  Matthew A. Brown,et al.  Recognising panoramas , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.

[23]  Jochen Triesch,et al.  Semi-autonomous Learning of Objects , 2006, 2006 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'06).

[24]  Jan-Olof Eklundh,et al.  Statistical background subtraction for a mobile observer , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.

[25]  C. Galletti,et al.  Neuronal mechanisms for detection of motion in the field of view , 2003, Neuropsychologia.

[26]  Alexei A. Efros,et al.  Unsupervised discovery of visual object class hierarchies , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

[27]  Thorsten Joachims,et al.  Transductive Learning via Spectral Graph Partitioning , 2003, ICML.

[28]  Changhai Xu,et al.  3D pose estimation for planes , 2009, 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops.

[29]  Nikos Paragios,et al.  Motion-based background subtraction using adaptive kernel density estimation , 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..

[30]  Azriel Rosenfeld,et al.  Tracking Groups of People , 2000, Comput. Vis. Image Underst..

[31]  Michael J. Black,et al.  The Robust Estimation of Multiple Motions: Parametric and Piecewise-Smooth Flow Fields , 1996, Comput. Vis. Image Underst..

[32]  Reinhard Koch,et al.  Visual Modeling with a Hand-Held Camera , 2004, International Journal of Computer Vision.

[33]  Changhai Xu,et al.  Ray-based Color Image Segmentation , 2008, 2008 Canadian Conference on Computer and Robot Vision.

[34]  Michael Isard,et al.  CONDENSATION—Conditional Density Propagation for Visual Tracking , 1998, International Journal of Computer Vision.

[35]  Benjamin Kuipers,et al.  Bootstrap learning for object discovery , 2004, 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (IEEE Cat. No.04CH37566).

[36]  Silvio Savarese,et al.  3D generic object categorization, localization and pose estimation , 2007, 2007 IEEE 11th International Conference on Computer Vision.

[37]  Krystian Mikolajczyk,et al.  Feature Tracking and Motion Compensation for Action Recognition , 2008, BMVC.

[38]  Ian D. Reid,et al.  Automated Alignment of Robotic Pan-Tilt Camera Units Using Vision , 2006, International Journal of Computer Vision.

[39]  Jon Louis Bentley,et al.  An Algorithm for Finding Best Matches in Logarithmic Expected Time , 1977, TOMS.

[40]  H H Bülthoff,et al.  Psychophysical support for a two-dimensional view interpolation theory of object recognition. , 1992, Proceedings of the National Academy of Sciences of the United States of America.

[41]  M. Tarr,et al.  Visual Object Recognition , 1996, ISTCS.

[42]  Stan Sclaroff,et al.  Segmenting foreground objects from a dynamic textured background via a robust Kalman filter , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.

[43]  John F. Canny,et al.  A Computational Approach to Edge Detection , 1986, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[44]  Luc Van Gool,et al.  Simultaneous Object Recognition and Segmentation from Single or Multiple Model Views , 2006, International Journal of Computer Vision.

[45]  Vincent Lepetit,et al.  Combining edge and texture information for real-time accurate 3D camera tracking , 2004, Third IEEE and ACM International Symposium on Mixed and Augmented Reality.

[46]  Benjamin Kuipers,et al.  The Spatial Semantic Hierarchy , 2000, Artif. Intell..

[47]  Daniel P. Huttenlocher,et al.  Scene modeling for wide area surveillance and image synthesis , 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).

[48]  Peter F. Sturm,et al.  Algorithms for plane-based pose estimation , 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).

[49]  I. Biederman.  Recognition-by-components: a theory of human image understanding. , 1987, Psychological review.

[50]  Edward H. Adelson,et al.  Representing moving images with layers , 1994, IEEE Trans. Image Process..

[51]  T Vilis,et al.  “Active” and “passive” learning of three-dimensional object structure within an immersive virtual reality environment , 2002, Behavior research methods, instruments, & computers : a journal of the Psychonomic Society, Inc.

[52]  Tom Drummond,et al.  Scalable Monocular SLAM , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

[53]  Antonio Torralba,et al.  Learning hierarchical models of scenes, objects, and parts , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.

[54]  Benjamin Kuipers,et al.  Local metrical and global topological maps in the hybrid spatial semantic hierarchy , 2004, IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004.

[55]  Trevor Darrell,et al.  The pyramid match kernel: discriminative classification with sets of image features , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.

[56]  Larry S. Davis,et al.  Non-parametric Model for Background Subtraction , 2000, ECCV.

[57]  David G. Lowe,et al.  Probabilistic Models of Appearance for 3-D Object Recognition , 2000, International Journal of Computer Vision.

[58]  Cordelia Schmid,et al.  Flexible Object Models for Category-Level 3D Object Recognition , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

[59]  Ilan Shimshoni,et al.  Guided Sampling via Weak Motion Models and Outlier Sample Generation for Epipolar Geometry Estimation , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

[60]  Jitendra Malik,et al.  Tracking as Repeated Figure/Ground Segmentation , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

[61]  Antonio Torralba,et al.  Sharing features: efficient boosting procedures for multiclass object detection , 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..

[62]  Richard Szeliski,et al.  A Comparison and Evaluation of Multi-View Stereo Reconstruction Algorithms , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

[63]  Ian D. Reid,et al.  Adaptive relative bundle adjustment , 2009, Robotics: Science and Systems.

[64]  Tsuhan Chen,et al.  Unsupervised Learning of Hierarchical Semantics of Objects (hSOs) , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

[65]  Changhai Xu,et al.  Object Detection Using Principal Contour Fragments , 2011, 2011 Canadian Conference on Computer and Robot Vision.

[66]  Benjamin Kuipers,et al.  Factoring the Mapping Problem: Mobile Robot Map-building in the Hybrid Spatial Semantic Hierarchy , 2010, Int. J. Robotics Res..

[67]  Benjamin Kuipers,et al.  Map Learning with Uninterpreted Sensors and Effectors , 1995, Artif. Intell..

[68]  Alex Pentland,et al.  Pfinder: Real-Time Tracking of the Human Body , 1997, IEEE Trans. Pattern Anal. Mach. Intell..

[69]  Robert T. Collins,et al.  Shape constrained figure-ground segmentation and tracking , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

[70]  Changhai Xu and Benjamin Kuipers.  Construction of the Object Semantic Hierarchy , 2009 .

[71]  Paul A. Viola,et al.  Rapid object detection using a boosted cascade of simple features , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.

[72]  Andrew J. Davison,et al.  Live dense reconstruction with a single moving camera , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[73]  Josechu J. Guerrero,et al.  Robust Line Matching and Estimate of Homographies Simultaneously , 2003, IbPRIA.

[74]  Xiaofeng Ren,et al.  Figure-ground segmentation improves handled object recognition in egocentric video , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[75]  Takeo Kanade,et al.  A statistical method for 3D object detection applied to faces and cars , 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).

[76]  Andrew Blake,et al.  Geodesic star convexity for interactive image segmentation , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[77]  Philippe C. Cattin,et al.  Tracking the invisible: Learning where the object might be , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[78]  Changhai Xu,et al.  Towards the Object Semantic Hierarchy , 2010, 2010 IEEE 9th International Conference on Development and Learning.

[79]  Oscar Firschein,et al.  Readings in computer vision: issues, problems, principles, and paradigms , 1987 .

[80]  Larry S. Davis,et al.  Robust Object Trackinng wvith Regional Affine Invariant Features , 2007, 2007 IEEE 11th International Conference on Computer Vision.

[81]  Richard O. Duda,et al.  Use of the Hough transformation to detect lines and curves in pictures , 1972, CACM.

[82]  Andrew Blake,et al.  Contour-based learning for object detection , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.

[83]  Silvio Savarese,et al.  Toward coherent object detection and scene layout understanding , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[84]  Yoav Freund,et al.  A decision-theoretic generalization of on-line learning and an application to boosting , 1995, EuroCOLT.

[85]  James R. Bergen,et al.  Visual odometry for ground vehicle applications , 2006, J. Field Robotics.

[86]  Heinrich Niemann,et al.  Efficient Feature Tracking for Long Video Sequences , 2004, DAGM-Symposium.

[87]  John E. Hummel,et al.  Where View-based Theories Break Down: The Role of Structure in Shape Perception and Object Recognition , 2000 .

[88]  Paul Newman,et al.  Highly scalable appearance-only SLAM - FAB-MAP 2.0 , 2009, Robotics: Science and Systems.

[89]  S. Shankar Sastry,et al.  An Invitation to 3-D Vision: From Images to Geometric Models , 2003 .

[90]  Rahul Sukthankar,et al.  Fast and accurate global motion compensation , 2011, Pattern Recognit..

[91]  David G. Lowe,et al.  Local feature view clustering for 3D object recognition , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.

[92]  W. Eric L. Grimson,et al.  Adaptive background mixture models for real-time tracking , 1999, Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149).

[93]  Luc Van Gool,et al.  Speeded-Up Robust Features (SURF) , 2008, Comput. Vis. Image Underst..

[94]  Jitendra Malik,et al.  Object Segmentation by Long Term Analysis of Point Trajectories , 2010, ECCV.

[95]  Andrew Zisserman,et al.  Object Level Grouping for Video Shots , 2004, International Journal of Computer Vision.

[96]  Richard Szeliski,et al.  Modeling the World from Internet Photo Collections , 2008, International Journal of Computer Vision.

[97]  Mei Han,et al.  Video object segmentation by motion-based sequential feature clustering , 2006, MM '06.

[98]  Benjamin Kuipers,et al.  Drinking from the firehose of experience , 2008, Artif. Intell. Medicine.

[99]  S. Ullman.  Three-dimensional object recognition based on the combination of views , 1998, Cognition.

[100]  Changhai Xu,et al.  Motion Segmentation by Learning Homography Matrices from Motor Signals , 2011, 2011 Canadian Conference on Computer and Robot Vision.

[101]  Benjamin Kuipers,et al.  Detecting obstacles and drop-offs using stereo and motion cues for safe local motion , 2008, 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[102]  David Nistér,et al.  An efficient solution to the five-point relative pose problem , 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[103]  Zhengyou Zhang,et al.  A Flexible New Technique for Camera Calibration , 2000, IEEE Trans. Pattern Anal. Mach. Intell..

[104]  Yoav Freund,et al.  A decision-theoretic generalization of on-line learning and an application to boosting , 1997, EuroCOLT.

[105]  Shimon Ullman,et al.  Semantic Hierarchies for Recognizing Objects and Parts , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

[106]  David Nister,et al.  Bundle Adjustment Rules , 2006 .

[107]  J. Friedman.  Special Invited Paper-Additive logistic regression: A statistical view of boosting , 2000 .

[108]  Mei Han,et al.  Efficient hierarchical graph-based video segmentation , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[109]  Cordelia Schmid,et al.  Semantic Hierarchies for Visual Object Recognition , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

[110]  Guillaume Bouchard,et al.  Hierarchical part-based visual object categorization , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

[111]  Benjamin Kuipers,et al.  Autonomous shape model learning for object localization and recognition , 2006, Proceedings 2006 IEEE International Conference on Robotics and Automation, 2006. ICRA 2006..

[112]  Simon Baker,et al.  Lucas-Kanade 20 Years On: A Unifying Framework , 2004, International Journal of Computer Vision.

[113]  Jan-Michael Frahm,et al.  Piecewise planar and non-planar stereo for urban scene reconstruction , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[114]  H. C. Longuet-Higgins,et al.  A computer algorithm for reconstructing a scene from two projections , 1981, Nature.

[115]  Demetri Terzopoulos,et al.  Snakes: Active contour models , 2004, International Journal of Computer Vision.

[116]  Olivier Stasse,et al.  MonoSLAM: Real-Time Single Camera SLAM , 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[117]  Robert C. Bolles,et al.  Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography , 1981, CACM.

[118]  Daniel P. Huttenlocher,et al.  Pictorial Structures for Object Recognition , 2004, International Journal of Computer Vision.

[119]  Carlo Tomasi,et al.  Good features to track , 1994, 1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.

[120]  Christopher Hunt,et al.  Notes on the OpenSURF Library , 2009 .

[121]  Trevor Darrell,et al.  Unsupervised Learning of Categories from Sets of Partially Matching Image Features , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

[122]  Benjamin Kuipers,et al.  The initial development of object knowledge by a learning robot , 2008, Robotics Auton. Syst..

[123]  Yong Jae Lee,et al.  Key-segments for video object segmentation , 2011, 2011 International Conference on Computer Vision.

[124]  W. Eric L. Grimson,et al.  Learning Patterns of Activity Using Real-Time Tracking , 2000, IEEE Trans. Pattern Anal. Mach. Intell..

[125]  Pietro Perona,et al.  Recognition of planar object classes , 1996, Proceedings CVPR IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[126]  Andrew Zisserman,et al.  MLESAC: A New Robust Estimator with Application to Estimating Image Geometry , 2000, Comput. Vis. Image Underst..

[127]  G LoweDavid,et al.  Distinctive Image Features from Scale-Invariant Keypoints , 2004 .

[128]  Nikos Paragios,et al.  Background modeling and subtraction of dynamic scenes , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.

[129]  Andrew W. Fitzgibbon,et al.  Bundle Adjustment - A Modern Synthesis , 1999, Workshop on Vision Algorithms.

[130]  Mubarak Shah,et al.  Motion layer extraction in the presence of occlusion using graph cuts , 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[131]  Inderjit S. Dhillon,et al.  Co-clustering documents and words using bipartite spectral graph partitioning , 2001, KDD '01.

[132]  Éric Marchand,et al.  Real-time 3D model-based tracking: combining edge and texture information , 2006, Proceedings 2006 IEEE International Conference on Robotics and Automation, 2006. ICRA 2006..

[133]  IEEE conference on computer vision and pattern recognition , 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).

[134]  Pietro Perona,et al.  Object class recognition by unsupervised scale-invariant learning , 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..

[135]  Pietro Perona,et al.  One-shot learning of object categories , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.