Cascaded attention and grouping for object recognition from video

Proceedings - 12th International Conference on Image Analysis and Processing, ICIAP 2003

Volumn , Issue , 2003, Pages 448-453

  Greindl, C ^a   Goyal, A ^a   Ogris, G ^a   Paletta, L ^a  

^a Inst of Digital Image Processing   (Austria)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATIC DETECTION; COGNITIVE VISION SYSTEMS; ENABLING TECHNOLOGIES; FOCUS OF ATTENTION; POSTERIOR DISTRIBUTIONS; PROBABILISTIC GROUPING; RADIAL BASIS FUNCTION(RBF); REGIONS OF INTEREST;

CLASSIFICATION (OF INFORMATION); COMPLEX NETWORKS; COMPUTER VISION; IMAGE ANALYSIS; RADIAL BASIS FUNCTION NETWORKS;

OBJECT RECOGNITION;

EID: 84890467888     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIAP.2003.1234091     Document Type: Conference Paper

References (16)

1. J. Assfalg, M. Bertini, C. Colombo, and A. Del Bimbo. Semantic annotation of sports videos. IEEE Multimedia, 9(2):52-60, 2002.
2. C. Bandera, F. J. Vico, J. M. Bravo, M. E. Harmon, and L. C. Baird. Residual Q-learning applied to visual attention. In Proc. International Conference on Machine Learning, pages 20-27, 1996.
3. G.W. Humphreys. A multi-stage account of binding in vision: Neuropsychological evidence. Visual Cognition, 8:381-410, 2001.
4. L. Itti and C. Koch. Computational modelling of visual attention. Nature Reviews Neuroscience, 2:1-10, 2001.
5. A. Mohan, C. Papageorgiou, and T. Poggio. Examplebased object detection in images by components. IEEE Transactions on Pattern Analysis and Machine Intelligence, 23(4):349-361, 2001.
6. S. Obdrzalek and J. Matas. Object recognition using local affine frames on distinguished regions. In Proc. British Machine Vision Conference, 2002.
7. L. Paletta and Christian Greindl. Context based object detection from video. In Proc. International Conference on Computer Vision Systems. Graz, Austria, in print, 2003.
8. L. Paletta and A. Pinz. Active object recognition by view integration and reinforcement learning. Robotics and Autonomous Systems, 31(1-2):71-86, 2000.
9. T. Poggio and S. Edelman. A network that learns to recognize three-dimensional objects. Nature, 317:314-319, 1990.
10. R. A. Rensink. The dynamic representation of scenes. Visual Cognition, 7:17-42, 2000.
11. B. Schiele and J.L. Crowley. Recognition without correspondence using multidimensional receptive field histograms. International Journal of Computer Vision, pages 31-50, 2000.
12. C. Schmid. A structured probabilistic model for recognition. In Proc. IEEE International Conference on Computer Vision, 1999.
13. M. Swain and D. Ballard. Color indexing. International Journal of Computer Vision, 7(1):11-32, 1991.
14. A. Torralba and P. Sinha. Statistical context priming for object detection. In Proc. IEEE International Confernce on Computer Vision, 2001.
15. J. K. Tsotsos, S. M. Culhane, W. Y. K. Wai, Y. Lai, N. Davis, and F. Nufl. Modeling visual attention via selective tuning. Artifical Intelligence, 78:507-545, 1995.
16. P. Viola and M. Jones. Rapid object detection using a bossted cascade of simple features. In Proc. IEEE Conference on Computer Vision and Pattern Recognition, 2001.