Real-time maintenance of figure-ground segmentation

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

Volumn 1542, Issue , 1999, Pages 115-134

  Nordlund, Peter ^a   Eklundh, Jan Olof ^a  

^a ROYAL INSTITUTE OF TECHNOLOGY   (Sweden)

Author keywords

Cue integration; Image motion; Real time; Segmentation

Indexed keywords

CCD CAMERAS; COMPUTER VISION; GRAPHIC METHODS; IMAGE SEGMENTATION;

CUE INTEGRATION; FEATURE SPACE; FIGURE-GROUND SEGMENTATIONS; IMAGE MOTION; PEAK-FINDING ALGORITHMS; REAL TIME; REAL TIME PERFORMANCE; STEREO DISPARITY;

STEREO IMAGE PROCESSING;

EID: 84958635681     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-49256-9_8     Document Type: Conference Paper

References (23)

1. Y. Altunbasak, P. E. Eren, and A. M. Tekapl. Region-based parametric motion segmentation using color information. Graphical Models and Image Processing, 60(1):13-23, January 1998.
2. S. Belongie, C. Carson, H. Greenspan, and J. Malik. Color- and texture-based image segmentation using the expectation-maximization algorithm and its application to content-based image retrieval. In Proc. 6th International Conference on Computer Vision, pages 675-682, Bombay, India, January 1998. IEEE Computer Society Press.
3. F. Billmeyer and M. Saltzman. Principles of Colour Technology. John Wiley and Sons, 1982.
4. M. Black and A. D. Jepson. Estimating optical flow in segmented images using variable-order parametric models with local deformations. IEEE Trans. Pattern Analysis and Machine Intell., 18(10):972-986, 1996.
5. T. Darrel, G. Gordon, J. Woodfill, H. Baker, and M. Harville. Robust, real-time people tracking in open environments using integrated stereo, color, and face detection. In IEEE Workshop on Visual Surveillance, pages 26-32, Bombay, India, January 1998. IEEE Computer Society Press.
6. R. Deriche and O. Faugeras. Tracking line segments. In O. Faugeras, editor, Proc. 1st European Conference on Computer Vision, volume 427 of Lecture Notes in Computer Science, pages 259-268, Antibes, France, April 1990. Springer Verlag, Berlin.
7. J. O. Eklundh, H. Yamamoto, and A. Rosenfeld. A relaxation method for mul-tispectral pixel classification. IEEE Trans. Pattern Analysis and Machine Intell., 2(1):72-75, January 1980.
8. F. Ennesser and G. Medioni. Finding Waldoo, or focus of attention using local color information. IEEE Trans. Pattern Analysis and Machine Intell., 17(8):805-809, August 1995.
9. J. A. Hartigan. Clustering Algorithms. John Wiley and Sons, New York, 1975.
10. M. Irani and S. Peleg. Motion analysis for image enhancement: Resolution, occlusion, and transparency. Journal ofVisual Communication and Image Representation, 4(4):324-335, December 1993.
11. T. Lindeberg. Detecting salient blob-like image structures and their scales with a scale-space primal sketch: A method for focus-of-attention. Int. J. ofComputer Vision, 11(3):283-318, 1993. Also ISRN KTH/NA/P--93/33--SE.
12. T. Lindeberg. Scale-Space Theory in Computer Vision. The Kluwer International Series in Engineering and Computer Science. Kluwer Academic Publishers, Dordrecht, Netherlands, 1994.
13. T. Lindeberg and J.-O. Eklundh. On the computation of a scale-space primal sketch. Journal of Visual Communication and Image Representation, 2(1):55-78, March 1991.
14. W. Niblack, R. Barber, W. Equitz, M. Flickner, D. Glasman, D. Petkovic, and P. Yanker. The qbic project: Querying image by content using color, texture, and shape. In Proc. SPIE: Storage and Retrieval for Image and Video Databases, volume 1908, pages 173-187, February 1993.
15. P. Nordlund. Figure-Ground Segmentation Using Multiple Cues. Ph. D. dissertation, Dept. of Numerical Analysis and Computing Science, KTH, Stockholm, Sweden, May 1998.
16. P. Nordlund and J.-O. Eklundh. Towards a seeing agent. In First Int. Workshop on Cooperative Distributed Vision, pages 93-123, Kyoto, Japan, November 1997.
17. P. Nordlund and T. Uhlin. Closing the loop: Detection and pursuit of a moving object by a moving observer. Image and Vision Computing, 14(4):265-275, May 1996.
18. C. L. Novak and S. A. Shafer. Color vision. Encyclopedia of Artificial Intelligence, pages 192-202, 1992.
19. R. Ohlander. Analysis of Natural Scenes. PhD thesis, Carnigie-Mellon Univ. Pittsburgh, PA, December 1976.
20. F. Perez and C. Koch. Towards color image segmentation in analog VLSI: Algorithm and hardware. Int. J. of Computer Vision, 12(1):17-42, 1994.
21. R. Shuster. Color object tracking with adaptive modeling. In Proc. Worshop on Visual Behaviors, pages 91-96, Seattle, Washington, June 1994.
22. K. Toyama and G. D. Hager. Incremental focus of attention for robust visual tracking. In Proc. IEEE Comp. Soc. Conf. on Computer Vision and Pattern Recognition, 1996, pages 189-195, San Francisco, California, June 1996. IEEE Computer Society Press.
23. Y. Yakimovsky. On the recognition of complex structures: Computer software using artificial intelligence applied to pattern recognition. In Proc. 2nd International Joint Conference on Pattern Recognition, pages 345-353, Copenhagen, Denmark, August 1974.