Fast object segmentation in unconstrained video

Proceedings of the IEEE International Conference on Computer Vision

Volumn , Issue , 2013, Pages 1777-1784

  Papazoglou, Anestis ^a   Ferrari, Vittorio ^a  

^a UNIVERSITY OF EDINBURGH   (United Kingdom)

Author keywords

video; video segmentation

Indexed keywords

COMPUTER SCIENCE; COMPUTERS; ELECTRICAL ENGINEERING;

BACKGROUND SUBTRACTION TECHNIQUES; FOREGROUND OBJECTS; NON-RIGID DEFORMATION; OBJECT SEGMENTATION; ORDERS OF MAGNITUDE; VIDEO; VIDEO SEGMENTATION; VIDEO-OBJECT SEGMENTATION;

IMAGE SEGMENTATION;

EID: 84898831797     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCV.2013.223     Document Type: Conference Paper

References (27)

1. R. Achanta, A. Shaji, K. Smith, A. Lucchi, P. Fua, and S. Ssstrunk. Slic superpixels compared to state-of-the-art superpixel methods. IEEE Trans. on PAMI, 34(11), 2012.
2. B. Alexe, T. Deselaers, and V. Ferrari. What is an object? In CVPR, 2010.
3. X. Bai, J. Wang, D. Simons, and G. Sapiro. Video snapcut: robust video object cutout using localized classifiers. In SIGGRAPH, 2009.
4. O. Barnichm and M. Van Droogenbroeck. Vibe: A universal background subtraction algorithm for video sequences. IEEE Trans. Image Processing, 2011.
5. M. Blank, L. Gorelick, E. Shechtman, M. Irani, and R. Basri. Actions as space-time shapes. In ICCV, 2005.
6. T. Brox and J. Malik. Object segmentation by long term analysis of point trajectories. In ECCV, 2010.
7. S. Brutzer, B. Hoeferlin, and G. Heidemann. Evaluation of background subtraction techniques for video surveillance. In CVPR, 2011.
8. P. Chockalingam, S. N. Pradeep, and S. Birchfield. Adaptive fragments-based tracking of non-rigid objects using level sets. In ICCV, 2009.
9. R. Cucchiara, C. Grana, M. Piccardi, and A. Prati. Detecting moving objects, ghosts, and shadows in video streams. IEEE Trans. on PAMI, 2003.
10. I. Endres and D. Hoiem. Category independent object proposals. In ECCV, 2010.
11. M. Everingham et al. The PASCAL Visual Object Classes Challenge 2010 Results, 2010.
12. J. Foley, A. van Dam, S. Feiner, and J. Hughes. Computer Graphics: Principles and Practice, 2nd Edition. Addison-Wesley, 1990.
13. M. Grundmann, V. Kwatra, M. Han, and I. Essa. Efficient hierarchical graph-based video segmentation. In CVPR, 2010.
14. Y. J. Lee, J. Kim, and K. Grauman. Key-segments for video object segmentation. In ICCV, 2011.
15. A. Levinshtein, A. Stere, K. N. Kutulakos, D. J. Fleet, S. J. Dickinson, and K. Siddiqi. "TurboPixels: Fast Superpixels Using Geometric Flows. IEEE Trans. on PAMI, 2009.
16. T. Ma and L. J. Latecki. Maximum weight cliques with mutex constraints for video object segmentation. In CVPR, 2012.
17. P. Ochs and T. Brox. Object segmentation in video: A hierarchical variational approach for turning pont trajectories into dense regions. In ICCV, 2011.
18. P. Ochs and T. Brox. Higher order motion models and spectral clustering. In CVPR, 2012.
19. A. Prest, C. Leistner, J. Civera, C. Schmid, and V. Ferrari. Learning object class detectors from weakly annotated video. In CVPR, 2012.
20. B. L. Price, B. S. Morse, and S. Cohen. Livecut: Learningbased interactive video segmentation by evaluation of multiple propagated cues. In ICCV, 2009.
21. C. Rother, V. Kolmogorov, and A. Blake. Grabcut: Interactive foreground extraction using iterated graph cuts. In SIGGRAPH, 2004.
22. N. Sundaram, T. Brox, and K. Keutzer. Dense point trajectories by gpu-accelerated large displacement optical flow. In ECCV, 2010.
23. P. Sundberg, T. Brox, M. Maire, P. Arbelaez, and J. Malik. Occlusion boundary detection and figure/ground assignment from optical flow. In CVPR, 2011.
24. D. Tsai, M. Flagg, and J. Rehg. Motion coherent tracking with multi-label mrf optimization. In BMVC, 2010.
25. P. Viola and M. Jones. Robust real-time object detection. In IJCV, 2001.
26. T.Wang and J. Collomosse. Probabilistic motion diffusion of labeling priors for coherent video segmentation. IEEE Trans. Multimedia, 2012.
27. J. O. Zhang, and M. Shah. Video object segmentation through spatially accurate and temporally dense extraction of primary object regions. In CVPR, 2013.