Support Vector Tracking

IEEE Transactions on Pattern Analysis and Machine Intelligence

Volumn 26, Issue 8, 2004, Pages 1064-1072

  Avidan, Shai ^a  

^a MobilEye Vision Technologies   (Israel)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; EDGE DETECTION; IMAGE ANALYSIS; LAGRANGE MULTIPLIERS; MOTION ESTIMATION; OPTICAL FLOWS; OPTIMIZATION; POLYNOMIALS; PRINCIPAL COMPONENT ANALYSIS; TRACKING (POSITION); VECTORS;

OPTIC FLOW BASED TRACKING; SUPPORT VECTOR MACHINE; SUPPORT VECTOR TRACKING; VISUAL TRACKING;

OBJECT RECOGNITION;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPARATIVE STUDY; COMPUTER ASSISTED DIAGNOSIS; COMPUTER GRAPHICS; EVALUATION; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; INFORMATION RETRIEVAL; MATHEMATICAL COMPUTING; METHODOLOGY; MOVEMENT (PHYSIOLOGY); REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING; THREE DIMENSIONAL IMAGING; VALIDATION STUDY; VIDEORECORDING;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTER GRAPHICS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; INFORMATION STORAGE AND RETRIEVAL; MOVEMENT; NUMERICAL ANALYSIS, COMPUTER-ASSISTED; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING, COMPUTER-ASSISTED; SUBTRACTION TECHNIQUE; VIDEO RECORDING;

EID: 3242681758     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPAMI.2004.53     Document Type: Article

References (22)

1. P. Anandan, J. Bergen, K. Hanna, and R. Hingorani, "Hierarchical Model-Based Motion Estimation," Motion Analysis and Image Sequence Processing, Sezan and R. Lagendijk, eds., chapter 1, Kluwer Academic, 1993.
2. M.J. Black and A.D. Jepson, "EigenTracking: Robust Matching and Tracking of Articulated Objects Using a View-Based Representation," Proc. European Conf. Computer Vision, B. Buxton and R. Cipolla, eds., Apr. 1996.
3. L. Bottou, C. Cortes, J.S. Denker, and H. Drucker, I. Guyon, and L.D. Jackel, Y. LeCun, U.A. Muller, E. Sackinger, P. Simard, and V. Vapnik, "Comparison of Classifier Methods: A Case Study in Handwritten Digit Recognition," Proc. 12th Int'l Conf. Pattern Recognition and Neural Networks, pp. 77-87, 1994.
4. C.J.C. Burges, "A Tutorial on Support Vector Machines for Pattern Recognition," Data Mining and Knowledge Discovery, vol. 2, no. 2, pp. 121-167, 1998.
5. C.J.C. Burges, "Simplified Support Vector Decision Rules," Proc. 13th Int'l Conf. Machine Learning, L. Saitta, ed., pp. 71-77, 1996.
6. C. Cortes and V. Vapnik, "Support Vector Networks," Machine Learning, vol. 20, pp. 273-297, 1995.
7. S. Gong, A. Psarrou, I. Katsoulis, and P. Palavouzis, "Tracking and Recognition of Face Sequences," Proc. European Workshop Combined Real and Synthetic Image Processing for Broadcast and Video Production, year?
8. T. Joachims, "Transductive Inference for Text Classification Using Support Vector Machines," Proc. Int'l Conf. Machine Learning, 1999.
9. S.Z. Li, L. Zhu, Z.Q. Zhang, A. Blake, H. J. Zhang, and H. Shum, "Statistical Learning of Multi-View Face Detection," Proc. Seventh European Conf. Computer Vision, May 2002.
10. K. Morik, P. Brockhausen, and T. Joachims, "Combining Statistical Learning with a Knowledge-Based Approach - A Case Study in Intensive Care Monitoring," Proc. 16th Int'l Conf. Machine Learning, 1999.
11. N. Vasconcelos and A. Lippman, "Multiresolution Tangent Distance for Affine-Invariant Classification," Advances in Neural Information Processing Systems, vol. 10, pp. 843-849, 1998.
12. E. Osuna, R. Freund, and F. Girosi, "Training Support Vector Machines: An Application to Face Detection," Proc. IEEE Conf. Computer Vision and Pattern Recognition, pp. 130-136, 1997.
13. C. Papageorgiou and T. Poggio, "A Trainable System for Object Detection," Int'l J. Computer Vision, vol. 38, no. 1, pp. 15-33, 2000.
14. B. Heisele, T. Serre, M. Pontil, T. Vetter, and T. Poggio, "Categorization by Learning and Combining Object Parts," Advances in Neural Information Processing System, vol. 14, 2002.
15. S. Romdhani, P. Torr, B. Scholkopf, and A. Blake, "Computationally Efficient Face Detection," Proc. Int'l Conf. Computer Vision, 2001.
16. B. Scholkopf, P.Y. Simard, A.J. Smola, and V.N. Vapnik, "Prior Knowledge in Support Vector Kernels," Advances in Neural Pnformation Processing Systems, M.I. Jordan, M.J. Kearns, and S.A. Solla, eds., vol. 10, pp. 640-646, Cambridge, Mass.: MIT Press, 1998.
17. B. Scholkopf, Support Vector Learning. R. Oldenbourg Munich: Verlag, 1997.
18. S.M. Smith and J.M. Brady, "ASSET-2: Real-Time Motion Segmentation and Shape Tracking," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 17, no. 8, pp. 814-820, Aug. 1995.
19. P.Y. Simard, Y. LeCun, and J. Denker, "Efficient Pattern Recognition Using a New Transformation Distance," Advances in Neural Information Processing System, pp. 50-58, San Mateo, Calif: Morgan Kaufman, 1993.
20. K.-K. Sung and T. Poggio, "Example-Based Learning for View-Based Human Face Detection," Proc. Image Understanding Workshop, Nov. 1994.
21. V. Vapnik, The Nature of Statistical Learning Theory. New York: Springer, 1995:
22. P. Viola and M. Jones, "Rapid Object Detection Using a Boosted Cascade of Simple Features," Proc. IEEE Conf. Computer Vision and Pattern Recognition, 2001.