Visual object-action recognition: Inferring object affordances from human demonstration

[1]  Chih-Jen Lin,et al.  LIBSVM: A library for support vector machines , 2011, TIST.

[2]  Danica Kragic,et al.  Hands in action: real-time 3D reconstruction of hands in interaction with objects , 2010, 2010 IEEE International Conference on Robotics and Automation.

[3]  Larry S. Davis,et al.  Observing Human-Object Interactions: Using Spatial and Functional Compatibility for Recognition , 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[4]  Danica Kragic,et al.  Grasping familiar objects using shape context , 2009, 2009 International Conference on Advanced Robotics.

[5]  C. Schmid,et al.  Actions in context , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

[6]  Florentin Wörgötter,et al.  Cognitive agents - a procedural perspective relying on the predictability of Object-Action-Complexes (OACs) , 2009, Robotics Auton. Syst..

[7]  Henk Nijmeijer,et al.  Robot Programming by Demonstration , 2010, SIMPAR.

[8]  Stefan Schaal,et al.  Robot Programming by Demonstration , 2009, Springer Handbook of Robotics.

[9]  Larry S. Davis,et al.  Beyond Nouns: Exploiting Prepositions and Comparative Adjectives for Learning Visual Classifiers , 2008, ECCV.

[10]  Danica Kragic,et al.  Simultaneous Visual Recognition of Manipulation Actions and Manipulated Objects , 2008, ECCV.

[11]  Nick Pears RBF shape histograms and their application to 3D face processing , 2008, 2008 8th IEEE International Conference on Automatic Face & Gesture Recognition.

[12]  Roman Filipovych,et al.  Recognizing primitive interactions by exploring actor-object states , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

[13]  Bernt Schiele,et al.  Functional Object Class Detection Based on Learned Affordance Cues , 2008, ICVS.

[14]  Ashutosh Saxena,et al.  Robotic Grasping of Novel Objects using Vision , 2008, Int. J. Robotics Res..

[15]  Manuel Lopes,et al.  Learning Object Affordances: From Sensory--Motor Coordination to Imitation , 2008, IEEE Transactions on Robotics.

[16]  James M. Rehg,et al.  A Scalable Approach to Activity Recognition based on Object Use , 2007, 2007 IEEE 11th International Conference on Computer Vision.

[17]  Fei-Fei Li,et al.  What, where and who? Classifying events by scene and object recognition , 2007, 2007 IEEE 11th International Conference on Computer Vision.

[18]  Trevor Darrell,et al.  Learning Visual Representations using Images with Captions , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

[19]  Christopher W. Geib,et al.  The meaning of action: a review on action recognition and mapping , 2007, Adv. Robotics.

[20]  Danica Kragic,et al.  Action recognition and understanding through motor primitives , 2007, Adv. Robotics.

[21]  Andrew McCallum,et al.  Dynamic conditional random fields: factorized probabilistic models for labeling and segmenting sequence data , 2004, J. Mach. Learn. Res..

[22]  Adrian Hilton,et al.  A survey of advances in vision-based human motion capture and analysis , 2006, Comput. Vis. Image Underst..

[23]  Irfan A. Essa,et al.  Learning Temporal Sequence Model from Partially Labeled Data , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

[24]  Cristian Sminchisescu,et al.  Conditional models for contextual human motion recognition , 2006, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.

[25]  Manuela M. Veloso,et al.  Learning visual object definitions by observing human activities , 2005, 5th IEEE-RAS International Conference on Humanoid Robots, 2005..

[26]  Svetha Venkatesh,et al.  Combining image regions and human activity for indirect object recognition in indoor wide-angle views , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.

[27]  Bill Triggs,et al.  Histograms of oriented gradients for human detection , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

[28]  Rüdiger Dillmann,et al.  Towards Cognitive Robots: Building Hierarchical Task Representations of Manipulations from Human Demonstration , 2005, Proceedings of the 2005 IEEE International Conference on Robotics and Automation.

[29]  David G. Stork,et al.  Generic object recognition using form and function , 1998, Pattern Analysis and Applications.

[30]  Antonio Torralba,et al.  Contextual Models for Object Detection Using Boosted Random Fields , 2004, NIPS.

[31]  Y. LeCun,et al.  Learning methods for generic object recognition with invariance to pose and lighting , 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..

[32]  Nando de Freitas,et al.  A Statistical Model for General Contextual Object Recognition , 2004, ECCV.

[33]  Antonio Torralba,et al.  Contextual Priming for Object Detection , 2003, International Journal of Computer Vision.

[34]  Antonio Torralba,et al.  Using the Forest to See the Trees: A Graphical Model Relating Features, Objects, and Scenes , 2003, NIPS.

[35]  Giulio Sandini,et al.  Learning about objects through action - initial steps towards artificial cognition , 2003, 2003 IEEE International Conference on Robotics and Automation (Cat. No.03CH37422).

[36]  Trevor Darrell,et al.  Fast pose estimation with parameter-sensitive hashing , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.

[37]  D. Ballard,et al.  What you see is what you need. , 2003, Journal of vision.

[38]  Dustin Boswell,et al.  Introduction to Support Vector Machines , 2002 .

[39]  Andrew McCallum,et al.  Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data , 2001, ICML.

[40]  Refractor Vision , 2000, The Lancet.

[41]  Nello Cristianini,et al.  An Introduction to Support Vector Machines and Other Kernel-based Learning Methods , 2000 .

[42]  Stefan Schaal,et al.  Is imitation learning the route to humanoid robots? , 1999, Trends in Cognitive Sciences.

[43]  Irfan A. Essa,et al.  Exploiting human actions and object context for recognition tasks , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.

[44]  Avrim Blum,et al.  The Bottleneck , 2021, Monopsony Capitalism.

[45]  D. Stork Generic object recognition using form & function , 1996 .

[46]  Azriel Rosenfeld,et al.  Recognition by Functional Parts , 1995, Comput. Vis. Image Underst..

[47]  Katsushi Ikeuchi,et al.  Task-oriented generation of visual sensing strategies , 1995, Proceedings of IEEE International Conference on Computer Vision.

[48]  Katsushi Ikeuchi,et al.  Task Oriented Vision , 1992, Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems.

[49]  Lawrence R. Rabiner,et al.  A tutorial on hidden Markov models and selected applications in speech recognition , 1989, Proc. IEEE.

[50]  J. Gibson The Ecological Approach to Visual Perception , 1979 .