IROS2013.bib

@INPROCEEDINGS{GC_SURF, 
author={Kudo, Satomi and Koga, Hisashi and Yokoyama, Takanori and Watanabe, Toshinori}, 
booktitle={Image Processing (ICIP), 2012 19th IEEE International Conference on}, title={Robust automatic video object segmentation with graphcut assisted by SURF features}, 
year={30 2012-Oct. 3}, 
pages={297-300}, 
keywords={Graphcut;Illumination change;SURF features;Video object segmentation}, 
ISSN={1522-4880},
}

@INPROCEEDINGS{MWCwMC, 
author={Tianyang Ma and Latecki, L.J.}, 
booktitle={Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on}, title={Maximum weight cliques with mutex constraints for video object segmentation}, 
year={June}, 
pages={670-677}, 
ISSN={1063-6919},
}

@INPROCEEDINGS{SuperpixelTracking, 
author={Shu Wang and Huchuan Lu and Fan Yang and Ming-Hsuan Yang}, 
booktitle={Computer Vision (ICCV), 2011 IEEE International Conference on}, 
title={Superpixel tracking}, 
year={Nov.}, 
pages={1323-1330}, 
keywords={image matching;image representation;maximum likelihood estimation;tracking;appearance variation;discriminative appearance model;high-level appearance structure;image representation;low-level cues;maximum a posterior estimation;object tracking;shape deformation;superpixel tracking;target object matching;target object representation;target-background confidence map;Adaptation models;Computational modeling;Feature extraction;Target tracking;Training;Visualization}, 
doi={10.1109/ICCV.2011.6126385}, 
ISSN={1550-5499},}

@article{EnergyBasedMultiModel,
year={2012},
issn={0920-5691},
journal={International Journal of Computer Vision},
volume={97},
issue={2},
doi={10.1007/s11263-011-0474-7},
title={Energy-Based Geometric Multi-model Fitting},
publisher={Springer US},
keywords={Geometric models; α-Expansion; Graph cuts; Sampling; Labeling; Parameter estimation},
author={Isack, Hossam and Boykov, Yuri},
pages={123-147},
language={English}
}

@article{SurveyRobotImitation,
author = {BANDERA, J. P. and RODRÍGUEZ, J. A. and MOLINA-TANCO, L. and BANDERA, A.},
title = {A SURVEY OF VISION-BASED ARCHITECTURES FOR ROBOT LEARNING BY IMITATION},
journal = {International Journal of Humanoid Robotics},
volume = {09},
number = {01},
pages = {1250006},
year = {2012},
doi = {10.1142/S0219843612500065},

URL = {http://www.worldscientific.com/doi/abs/10.1142/S0219843612500065},
eprint = {http://www.worldscientific.com/doi/pdf/10.1142/S0219843612500065}
}


@article{ImitationLearning,
author = {ASFOUR, T. and AZAD, P. and GYARFAS, F. and DILLMANN, R.},
title = {IMITATION LEARNING OF DUAL-ARM MANIPULATION TASKS IN HUMANOID ROBOTS},
journal = {International Journal of Humanoid Robotics},
volume = {05},
number = {02},
pages = {183-202},
year = {2008},
doi = {10.1142/S0219843608001431},

URL = {http://www.worldscientific.com/doi/abs/10.1142/S0219843608001431},
eprint = {http://www.worldscientific.com/doi/pdf/10.1142/S0219843608001431}
}

@article{KLDParticleFilter,
author = {Fox, Dieter}, 
title = {Adapting the Sample Size in Particle Filters Through KLD-Sampling},
volume = {22}, 
number = {12}, 
pages = {985-1003}, 
year = {2003}, 
doi = {10.1177/0278364903022012001}, 
URL = {http://ijr.sagepub.com/content/22/12/985.abstract}, 
eprint = {http://ijr.sagepub.com/content/22/12/985.full.pdf+html}, 
journal = {The International Journal of Robotics Research} 
}

@INPROCEEDINGS{6DOFTracking, 
author={Azad, P. and Munch, D. and Asfour, T. and Dillmann, R.}, 
booktitle={Robotics and Automation (ICRA), 2011 IEEE International Conference on}, title={6-DoF model-based tracking of arbitrarily shaped 3D objects}, 
year={May}, 
pages={5204-5209}, 
keywords={cameras;feature extraction;image texture;object tracking;particle filtering (numerical methods);pose estimation;arbitrarily shaped 3D object tracking;camera;goal-directed imitation learning;image-based 6-DoF pose estimation;local feature straight line segment extraction;model-based tracking approach;object manipulation;particle filter based tracking approach;six-DoF model-based tracking;temporal information;textural information;Estimation;Graphics processing unit;Image edge detection;Rendering (computer graphics);Shape;Solid modeling;Three dimensional displays}, 
doi={10.1109/ICRA.2011.5979950}, 
ISSN={1050-4729},}

@incollection{MultiObjectTracking,
year={2012},
isbn={978-3-642-33714-7},
booktitle={Computer Vision – ECCV 2012},
volume={7576},
series={Lecture Notes in Computer Science},
title={Taking Mobile Multi-object Tracking to the Next Level: People, Unknown Objects, and Carried Items},
publisher={Springer Berlin Heidelberg},
author={Mitzel, Dennis and Leibe, Bastian},
pages={566-579},
}

@article{ManipulatorAndObjectTracking,
author = {Krainin, Michael and Henry, Peter and Ren, Xiaofeng and Fox, Dieter}, 
title = {Manipulator and object tracking for in-hand 3D object modeling},
volume = {30}, 
number = {11}, 
pages = {1311-1327}, 
year = {2011}, 
doi = {10.1177/0278364911403178}, 
URL = {http://ijr.sagepub.com/content/30/11/1311.abstract}, 
eprint = {http://ijr.sagepub.com/content/30/11/1311.full.pdf+html}, 
journal = {The International Journal of Robotics Research} 
}

@article{Aksoy11,
author = {Aksoy, E.~E. and Abramov, A. and D\"orr, J. and Ning, K. and Dellen, B. and W\"org\"otter, F.},
journal = {The International Journal of Robotics Research},
number = {10},
pages = {1229--1249},
title = {Learning the semantics of object-action relations by observation},
volume = {30},
year = {2011},
} 

@article{MarrApertureProblem,
author = {Marr, D. and Ullman, S.}, 
title = {Directional Selectivity and its Use in Early Visual Processing},
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number = {1183}, 
pages = {151-180}, 
year = {1981}, 
doi = {10.1098/rspb.1981.0001}, 
journal = {Proceedings of the Royal Society of London. Series B. Biological Sciences} 
}

@article{adelson1982phenomenal,
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@article{shimojo1989,
  title={Occlusion and the solution to the aperture problem for motion},
  author={Shimojo, Shinsuke and Silverman, Gerald H and Nakayama, Ken},
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@article{ICPChetverikov,
title = "Robust Euclidean alignment of 3D point sets: the trimmed iterative closest point algorithm",
journal = "Image and Vision Computing",
volume = "23",
number = "3",
pages = "299 - 309",
year = "2005",
note = "",
issn = "0262-8856",
doi = "10.1016/j.imavis.2004.05.007",
author = "Dmitry Chetverikov and Dmitry Stepanov and Pavel Krsek",
}

@inproceedings{collins1984development,
  title={The development of a European benchmark for the comparison of assembly robot programming systems},
  author={Collins, K and Palmer, AJ and Rathmill, K},
  booktitle={Proceedings of the 1st Robotics Europe Conference, Brussels},
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}

@ARTICLE{RobustTrackingBabenko, 
author={Babenko, B. and Ming-Hsuan Yang and Belongie, S.}, 
journal = IEEE_J_PAMI, 
title={Robust Object Tracking with Online Multiple Instance Learning}, 
year={2011}, 
month={Aug.},
volume={33}, 
number={8}, 
pages={1619-1632}, 
keywords={image classification;learning (artificial intelligence);object tracking;video signal processing;discriminative classifier;online MIL algorithm;online multiple instance learning;robust object tracking;tracking by detection techniques;video clips;Adaptation model;Agriculture;Boosting;Target tracking;Training;Visual Tracking;multiple instance learning;online boosting.}, 
doi={10.1109/TPAMI.2010.226}, 
ISSN={0162-8828},}

@INPROCEEDINGS{StructuredSparseRepresentation, 
author={Tianxiang Bai and Li, Y.F. and Yazhe Tang}, 
booktitle={Robotics and Automation (ICRA), 2011 IEEE International Conference on}, 
title={Structured sparse representation appearance model for robust visual tracking}, 
year={May}, 
pages={4399-4404}, 
keywords={eigenvalues and eigenfunctions;image motion analysis;image representation;object detection;particle filtering (numerical methods);probability;singular value decomposition;tracking;approximation error;block orthogonal matching pursuit;contiguous spatial distribution;eigen templates;incremental singular value decomposition;occlusion;particle filter framework;probabilistic observation model;robust visual tracking;sparse error;stochastic affine motion model;structured sparse representation appearance model;target tracking;visual tracking problem;Dictionaries;Matching pursuit algorithms;Robustness;Target tracking;Training;Visualization}, 
doi={10.1109/ICRA.2011.5979738}, 
ISSN={1050-4729},}

@INPROCEEDINGS{Radu3dIsHere, 
author={Rusu, R.B. and Cousins, S.}, 
booktitle={Robotics and Automation (ICRA), 2011 IEEE International Conference on}, title={3D is here: Point Cloud Library (PCL)}, 
year={May}, 
pages={1-4}, 
keywords={feature extraction;image segmentation;robot vision;surface reconstruction;3D building blocks;3D perception gains;Kinect;PCL;advanced point cloud processing;feature estimation;international robotics community;low-cost 3D sensing hardware;model fitting;point cloud library;surface reconstruction;surface registration;surface segmentation}, 
doi={10.1109/ICRA.2011.5980567}, 
ISSN={1050-4729},}

@ARTICLE{Boykov2001, 
author={Boykov, Y. and Veksler, O. and Zabih, R.}, 
journal= IEEE_J_PAMI,
title={Fast approximate energy minimization via graph cuts}, 
year={2001}, 
month={Nov},
volume={23}, 
number={11}, 
pages={1222-1239}, 
doi={10.1109/34.969114}, 
ISSN={0162-8828},}

@inproceedings{ShakeNSense,
 author = {Butler, D. Alex and Izadi, Shahram and Hilliges, Otmar and Molyneaux, David and Hodges, Steve and Kim, David},
 title = {Shake'n'sense: reducing interference for overlapping structured light depth cameras},
 booktitle = {Proceedings of the 2012 ACM annual conference on Human Factors in Computing Systems},
 series = {CHI '12},
 year = {2012},
 isbn = {978-1-4503-1015-4},
 location = {Austin, Texas, USA},
 pages = {1933--1936},
 numpages = {4},
 doi = {10.1145/2208276.2208335},
 acmid = {2208335},
 publisher = {ACM},
 address = {New York, NY, USA},
 keywords = {depth camera, instrumented rooms, kinect, motion blur, reducing interference, structured light},
} 

@INPROCEEDINGS{RGBDDataset,
author={Lai, K. and Liefeng Bo and Xiaofeng Ren and Fox, D.},
booktitle={Robotics and Automation (ICRA), 2011 IEEE International Conference on}, title={A large-scale hierarchical multi-view RGB-D object dataset},
year={2011},
month={may},
volume={},
number={},
pages={1817 -1824},
keywords={RGB-D camera;dataset collection procedure;instance detection;large-scale hierarchical multiview RGB-D object dataset;public image recognition;public image repositories;robotic object recognition;visual object category;image colour analysis;image sensors;object recognition;robot vision;video signal processing;},
doi={10.1109/ICRA.2011.5980382},
ISSN={1050-4729},}