Human appearance modeling for matching across video sequences

Machine Vision and Applications

Volumn 18, Issue 3-4, 2007, Pages 139-149

  Yu, Yang ^a   Harwood, David ^a   Yoon, Kyongil ^b   Davis, Larry S ^a  

^a UNIVERSITY OF MARYLAND   (United States)

^b MCDANIEL COLLEGE   (United States)

Author keywords

Appearance modeling and matching; Color path length profile; Key frame selection; Kullback Leibler distance; Visual surveillance

Indexed keywords

CAMERAS; COMPUTER SIMULATION; LIGHTING; PARAMETER ESTIMATION; TRACKING (POSITION); VIDEO SIGNAL PROCESSING;

APPEARANCE MODELING; KERNEL DENSITY ESTIMATION; KEY FRAME SELECTION; KULLBACK-LEIBLER DISTANCE; VISUAL SURVEILLANCE;

PATTERN MATCHING;

EID: 34249888187     PISSN: 09328092     EISSN: 14321769     Source Type: Journal    
DOI: 10.1007/s00138-006-0061-z     Document Type: Article

References (16)

1. Comaniciu, D., Ramesh, V., Meer, P.: Kernel-based object tracking. IEEE Trans. Pattern Anal. Mach. Intell. 25(5), 564-577 (2003)
2. Duda, R.O., Stork, D.G., Hart, P.E.: Pattern Classification. Wiley, New York (2001)
3. Elgammal, A., Duraiswami, R., Davis, L.S.: Probabilistic tracking in joint feature-spatial spaces. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (2003)
4. Elgammal, A., Duraiswami, R., Harwood, D., Davis, L.S.: Background and foreground modeling using non-parametric kernel density estimation for visual surveillance. Proc. IEEE 90(7), 1151-1163 (2002)
5. Fieguth, Terzopoulos, D.: Color-based tracking of heads and other objects at video frame rates. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (1997)
6. Garcia, J.A., Valdivia, J., Vidal, X.: Information theoretic measure for visual target distinctness. IEEE Trans. Pattern Anal. Mach. Intell. 23(4), 362-383 (2001)
7. Grossberg, M.D., Nayar, S.K.: Determining the camera response from images: what is knowable?. IEEE Trans. Pattern Anal. Mach. Intell. 25(11), 1455-1467 (2003)
8. Javed, O., Shafique, K., Shah, M.: Appearance modeling for tracking in multiple non-overlapping cameras. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (2005)
9. Kang, J., Cohen, I., Medioni, G.: Continuous tracking within and across camera streams. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (2003)
10. Kim, K., Chalidabhongse, T., Harwood, D., Davis, L.: Real-time foreground-background segmentation using codebook model. Real Time Imaging 11(3), 172-185 (2005)
11. Kullback, S.: Information theory and Statistics. Gloucester, Mass.: Peter Smith (1978)
12. Li, J., Chellappa, R.: Appearance modeling under geometric context. In: The 10th IEEE International Conference on Computer Vision (2005)
13. Lin, H., Jacobs, D.: Using the inner-distance for classification of articulated shapes. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (2005)
14. Shan, Y., Sawhney, H., Kumar, R.: Unsupervised learning of discriminative edge measures for vehicle matching between non-overlapping cameras. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (2005)
15. Shan, Y., Sawhney, H., Pope, A.: Measuring the similarity of two image sequences. In: Asia Conference on Computer Vision (2004)
16. Yamagunchi, O., Fukui, K., Maeda, K.: Face recognition using temporal image sequence. In: International Conference on Automatic Face and Gesture Recognition (1998)