Tracking of object with SVM regression

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Volumn 2, Issue , 2001, Pages

  Zhu, Weiyu ^a   Wang, Song ^a   Lin, Ruei Sung ^a   Levinson, Stephen ^a  

^a UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; CONSTRAINT THEORY; FEATURE EXTRACTION; MATHEMATICAL MODELS; REGRESSION ANALYSIS;

SUPPORT VECTOR MACHINES (SVM);

OBJECT RECOGNITION;

EID: 0035687607     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (21)

1. Tracking with rigid models
2. Kalman filter-based algorithms for estimating depth from image sequences
3. Snakes: Active contour models
4. An unbiased active contour algorithm for object tracking
5. Scene labelling by relaxation operations
6. Continuous relaxation and local maxima selection: Conditions for equivalence
7. Inexact matching of 3D surfaces
8. A robust technique for matching two uncalibrated images through the recovery of the unknown epipolar geometry
9. Characterizations of an empirical influence function for detecting influential cases in regression
10. Rejecting outliers and estimating errors in an orthogonal regression framework
11. Outlier detection and motion segmentation
12. Random sample consensus: A paradigm for model fitting with applications to image analysis and automated cartography
13. Epipolar line estimation
14. Maintaining multiple motion model hypotheses over many views to recover matching and structure
15. A combined corner and edge detector
16. A computational approach to edge detection
17. Maximum-likelihood template matching
18. Shape deformation: SVM regression and application to medical image segmentation