Object disappearance for object discovery

IEEE International Conference on Intelligent Robots and Systems

Volumn , Issue , 2012, Pages 2836-2843

  Mason, Julian ^a   Marthi, Bhaskara ^b   Parr, Ronald ^a  

^a Duke University   (United States)

^b not available   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AGRICULTURAL ROBOTS; COMPUTER VISION; INTELLIGENT ROBOTS; INTELLIGENT SYSTEMS; INVENTORY CONTROL; MAPPING; OBJECT RECOGNITION;

BACKGROUND OBJECTS; DIRICHLET PROCESS; INVENTORY MANAGEMENT; LOCALIZATION AND MAPPINGS; RECOGNITION METHODS; THEFT DETECTIONS; UNSUPERVISED OBJECT DISCOVERIES; VISUAL FEATURE;

OBJECT TRACKING;

EID: 84872295710     PISSN: 21530858     EISSN: 21530866     Source Type: Conference Proceeding    
DOI: 10.1109/IROS.2012.6386219     Document Type: Conference Paper

References (25)

1. "Accompanying data, software, and code." http://ros.org/wiki/ Papers/IROS2012-Mason-Marthi-Parr.
2. J. Gibson, The Ecological Approach to Visual Perception. Lawrence Erlbaum, 1986.
3. R. Biswas, B. Limketkai, S. Sanner, and S. Thrun, "Towards Object Mapping in Non-Stationary Environments With Mobile Robots," in IEEE/RSJ International Conference on Intelligent Robots and Systems, 2002, pp. 1014-1019.
4. D. Anguelov, R. Biswas, D. Koller, B. Limketkai, S. Sanner, and S. Thrun, "Learning Hierarchical Object Maps of Non-Stationary Environments With Mobile Robots," in Proceedings of the Conference on Uncertainty in Artificial Intelligence, 2002, pp. 10-17.
5. B. C. S. Sanders, R. C. Nelson, and R. Sukthankar, "A Theory of the Quasi-Static World," in 16th International Conference on Pattern Recognition, 2007, pp. 1-6.
6. H. Kang, A. A. Efros, M. Hebert, and T. Kanade, "Image Composition for Object Pop-out," IEEE Workshop on 3D Representation for Recognition, 2009.
7. J. Modayil and B. Kuipers, "Towards Bootstrap Learning for Object Discovery," AAAI Workshop on Anchoring Symbols to Sensor Data, 2004.
8. T. Southey and J. J. Little, "Object Discovery through Motion, Appearance and Shape," AAAI Workshop on Cognitive Robotics, 2006.
9. A. Ayvaci and S. Soatto, "Detachable Object Detection: Segmentation and Depth Ordering from Short-Baseline Video," in IEEE Transactions on Pattern Analysis and Machine Intelligence, 2011.
10. J. Sivic, F. Schaffalitzky, and A. Zisserman, "Object Level Grouping for Video Shots," International Journal of Computer Vision, pp. 189-210, Jan. 2006.
11. E. Herbst, P. Henry, X. Ren, and D. Fox, "Toward Object Discovery and Modeling via 3-D Scene Comparison," in IEEE International Conference on Robotics and Automation, May 2011, pp. 2623-2629.
12. E. Herbst, X. Ren, and D. Fox, "RGB-D Object Discovery via Multi- Scene Analysis," in IEEE/RSJ International Conference on Intelligent Robots and Systems, Sept. 2011, pp. 1-7.
13. C. Rother, T. Minka, A. Blake, and V. Kolmogorov, "Cosegmentation of Image Pairs by Histogram Matching - Incorporating a Global Constraint into MRFs," in IEEE Conference on Computer Vision and Pattern Recognition, 2006, pp. 993-1000.
14. S. Vicente, V. Kolmogorov, and C. Rother, "Cosegmentation Revisited: Models and Optimization," in European Conference on Computer Vision, Sept. 2010.
15. E. B. Sudderth, A. Torralba, W. T. Freeman, and A. S. Willsky, "Describing Visual Scenes using Transformed Objects and Parts," International Journal of Computer Vision, 2007.
16. H. Kang, M. Hebert, and T. Kanade, "Discovering Object Instances from Scenes of Daily Living," in International Conference on Computer Vision, Nov. 2011.
17. T. S. Ferguson, "A Bayesian Analysis of Some Nonparametric Problems," Annals of Statistics, 1973.
18. R. M. Neal, "Markov Chain Sampling Methods for dirichlet Process Mixture Models," Journal of Computational and Graphical Statistics, pp. 249-265, 2000.
19. D. Fox, "Adapting the Sample Size in Particle Filters Through KLDSampling," The International Journal of Robotics Research, pp. 985-1003, Dec. 2003.
20. K. M. Wurm, A. Hornung, M. Bennewitz, C. Stachniss, and W. Burgard, "OctoMap: A probabilistic, flexible, and compact 3D map representation for robotic systems," in Proc. of the ICRA 2010 Workshop on Best Practice in 3D Perception and Modeling for Mobile Manipulation, May 2010.
21. K. Pirker, M. Rüther, and H. Bischof, "Histogram of Oriented Cameras - a New Descriptor for Visual Slam in Dynamic Environments," in Proceedings of British Machine Vision Conference, 2010.
22. E. Rublee, V. Rabaud, K. Konolige, and G. Bradski, "ORB: an Efficient Alternative to SIFT or SURF," International Conference on Computer Vision, pp. 1-8, Nov. 2011.
23. R. B. Rusu, N. Blodow, Z. C. Marton, and M. Beetz, "Close-range Scene Segmentation and Reconstruction of 3d Point Cloud Maps for Mobile Manipulation in Domestic Environments," IEEE/RSJ International Conference on Intelligent Robots and Systems, Oct. 2009.
24. A. J. B. Trevor, J. G. R. III, C. Nieto-Granda, and H. I. Christensen, "Tables, Counters, and Shelves: Semantic Mapping of Surfaces in 3D," IROS Workshop on Semantic Mapping, pp. 1-6, Sept. 2010.
25. R. B. Rusu and S. Cousins, "3D is here: Point Cloud Library (PCL)," in IEEE International Conference on Robotics and Automation, Shanghai, China, May 9-13 2011.