Online learning for fast segmentation of moving objects

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 7725 LNCS, Issue PART 2, 2013, Pages 52-65

  Ellis, Liam ^a   Zografos, Vasileios ^a  

^a LINKÖPING UNIVERSITY   (Sweden)

Author keywords

[No Author keywords available]

Indexed keywords

APPEARANCE LEARNING; COMPUTATIONAL COSTS; MOTION SEGMENTATION; OBJECT SEGMENTATION; ONLINE LEARNING; SEMI-SUPERVISED; SPATIAL PROPERTIES; VIDEO SEQUENCES;

IMAGE SEGMENTATION;

VIDEO SIGNAL PROCESSING;

EID: 84875885148     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-37444-9_5     Document Type: Conference Paper

References (25)

1. Sun, J., Zhang, W., Tang, X., Shum, H.-Y.: Background Cut. In: Leonardis, A., Bischof, H., Pinz, A. (eds.) ECCV 2006. LNCS, vol. 3952, pp. 628-641. Springer, Heidelberg (2006)
2. Criminisi, A., Cross, G., Blake, A., Kolmogorov, V.: Bilayer segmentation of live video. In: CVPR, vol. 1, pp. 53-60 (2006)
3. Monnet, A., Mittal, A., Paragios, N., Ramesh, V.: Background modeling and subtraction of dynamic scenes. In: ICCV, vol. 2, pp. 1305-1312 (2003)
4. Han, M., Xu, W., Gong, Y.: Video object segmentation by motion-based sequential feature clustering. In: ACM Multimedia, pp. 773-782 (2006)
5. Yin, P., Criminisi, A., Winn, J., Essa, M.: Tree-based classifiers for bilayer video segmentation. In: CVPR, pp. 1-8 (2007)
6. Zhang, G., Jia, J., Xiong, W., Wong, T.-T., Heng, P.-A., Bao, H.: Moving object extraction with a hand-held camera. In: ICCV, pp. 1-8 (2007)
7. Liu, F., Gleicher, M.: Learning color and locality cues for moving object detection and segmentation. In: CVPR, pp. 320-327 (2009)
8. Lee, Y.J., Kim, J., Grauman, K.: Key-segments for video object segmentation. In: ICCV (2011)
9. Bugeau, A., Perez, P.: Detection and segmentation of moving objects in highly dynamic scenes. In: CVPR (2007)
10. Brox, T., Malik, J.: Object Segmentation by Long Term Analysis of Point Trajectories. In: Daniilidis, K., Maragos, P., Paragios, N. (eds.) ECCV 2010, Part V. LNCS, vol. 6315, pp. 282-295. Springer, Heidelberg (2010)
11. Brox, T., Malik, J.: Large displacement optical flow: Descriptor matching in variational motion estimation. IEEE PAMI 33, 500-513 (2011)
12. Ochs, P., Brox, T.: Object segmentation in video: a hierarchical variational approach for turning point trajectories into dense regions. In: ICCV (2011)
13. Arbelaez, P., Maire, M., Fowlkes, C., Malik, J.: Contour detection and hierarchical image segmentation. IEEE PAMI 33, 898-916 (2011)
14. Godec, M., Roth, P., Bischof, H.: Hough-based tracking of non-rigid objects. In: ICCV, pp. 81-88 (2011)
15. Lu, L., Hager, G.D.: A nonparametric treatment on location/segmentation based visual tracking. In: CVPR (2007)
16. Zografos, V., Nordberg, K.: Fast and accurate motion segmentation using linear combination of views. In: BMVC, pp. 12.1-12.11 (2011)
17. Shi, J., Tomasi, C.: Good features to track. In: CVPR, pp. 593-600 (1994)
18. Lucas, B.D., Kanade, T.: An iterative image registration technique with an application to stereo vision. In: Int. Joint Conference on A.I., vol. 2, pp. 674-679 (1981)
19. Hwang, J.N., Lay, S.R., Lippman, A.: Nonparametric multivariate density estimation: A comparative study. IEEE Trans. Signal Processing 42, 2795-2810 (1994)
20. Botev, Z.I., Grotowski, J.F., Kroese, D.P.: Kernel density estimation via diffusion. Annals of Statistics (2010)
21. Achanta, R., Shaji, A., Smith, K., Lucchi, A., Fua, P., Ssstrunk, S.: SLIC Superpixels Compared to State-of-the-art Superpixel Methods. IEEE PAMI (2012)
22. Lenz, R., Bui, H.T., Takase, K.: A group theoretical toolbox for color image operators. In: ICIP, vol. 3, pp. 557-560 (2005)
23. Saffari, A., Leistner, C., Santner, J., Godec, M., Bischof, H.: On-line Random Forests. In: ICCV Workshops, pp. 1393-1400. IEEE (2009)
24. Ng, V., Cardie, C.:Weakly supervised natural language learning without redundant views. In: NAACL, vol. 1, pp. 94-101 (2003)
25. Tsai, D., Flagg, M., Rehg, J.M.: Motion coherent tracking with multi-label mrf optimization. In: BMVC (2010)