Unsupervised learning of discriminative edge measures for vehicle matching between nonoverlapping cameras

IEEE Transactions on Pattern Analysis and Machine Intelligence

Volumn 30, Issue 4, 2008, Pages 700-711

  Shan, Ying ^a   Sawhney, Harpreet S ^b   Kumar, Rakesh ^b  

^a MICROSOFT   (United States)

^b SARNOFF CORPORATION   (United States)

Author keywords

Edge feature; Fisher's linear Discriminants; Gibbs sampling; Non overlapping cameras; Object reacquisition; Object recognition; Unsupervised learning; Vehicle matching

Indexed keywords

DISCRIMINANT ANALYSIS; FEATURE EXTRACTION; IMAGE ACQUISITION; IMAGE CLASSIFICATION; IMAGE MATCHING; UNSUPERVISED LEARNING;

FISHER'S LINEAR DISCRIMINANTS; GIBBS SAMPLING; OBJECT REACQUISITION;

EDGE DETECTION;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; CLASSIFICATION; COMPUTER ASSISTED DIAGNOSIS; DISCRIMINANT ANALYSIS; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; INSTRUMENTATION; METHODOLOGY; MOTOR VEHICLE; PHOTOGRAPHY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; DISCRIMINANT ANALYSIS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MOTOR VEHICLES; PATTERN RECOGNITION, AUTOMATED; PHOTOGRAPHY; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE;

EID: 42449128860     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPAMI.2007.70728     Document Type: Article

References (21)

1. D.M. Gavrila and V. Philomin, "Real-Time Object Detection for "Smart" Vehicles," Proc. Int'l Conf. Computer Vision, pp. 87-93, 1999.
2. V. Athitsos and S. Sclaroff, "Estimating 3D Hand Pose from a Cluttered Image," Proc. IEEE Conf. Computer Vision and Pattern Recognition, 2003.
3. B. Stenger, A. Thayananthan, P. Torr, and R. Cipolla, "Hand Pose Estimation Using Hierarchical Detection," Proc. Int'l Workshop Human-Computer Interaction, 2004.
4. D. Huttenlocher, G. Klanderman, and W.J. Rucklidge, "Comparing Images Using the Hausdorff Distance," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 15, no. 9, pp. 850-863, Sept. 1993.
5. K. Grauman and T. Darrell, "Fast Contour Matching Using Approximate Earth Mover's Distance," Proc. IEEE Conf. Computer Vision and Pattern Recognition, vol. I, pp. 220-227, 2004.
6. C.F. Olson and D.P. Huttenlocher, "Automatic Target Recognition by Matching Oriented Edge Pixels," IEEE Trans. Image Processing, vol. 6, no. 1, pp. 103-113, 1997.
7. D.G. Lowe, "Distinctive Image Features from Scale-Invariant Keypoints," Int'l J. Computer Vision, vol. 60, no. 2, pp. 91-110, 2004.
8. Y. Wu, Q. Tian, and T.S. Huang, "Discriminant-EM Algorithm with Application to Image Retrieval," Proc. IEEE Conf. Computer Vision and Pattern Recognition, vol. I, pp. 222-227, 2000.
9. T. De Bie and N. Cristianini, "Convex Methods for Transduction," Proc. Neural Information Processing Systems (NIPS ), 2003.
10. T. Joachims, "Transductive Inference for Text Classification Using Support Vector Machines," Proc. Int'l Conf. Machine Learning, pp. 200-209, 1999.
11. Z.L. Wu and C.H. Li, "Feature Selection Using Transductive Support Vector Machine," Proc. NIPS 2003 Workshop Feature Selection, 2003.
12. R. Collins and Y. Liu, "On-Line Selection of Discriminative Tracking Features," Proc. Int'l Conf. Computer Vision, 2003.
13. L. Xu, J. Neufeld, B. Larson, and D. Schuurmans, "Maximum Margin Clustering," Proc. Advances in Neural Information Processing Systems (NIPS), 2004.
14. K.P. Bennett and A. Demiriz, "Semi-Supervised Support Vector Machines," Proc. Advances in Neural Information Processing Systems (NIPS '98), pp. 368-374, 1998.
15. O. Javed, Z. Rasheed, K. Shafique, and M. Shah, "Tracking Across Multiple Cameras with Disjoint Views," Proc. Int'l Conf. Computer Vision, vol. 2, pp. 952-957, 2003.
16. V. Kettnaker and R. Zabih, "Bayesian Multi-Camera Surveillance," Proc. IEEE Conf. Computer Vision and Pattern Recognition, 1999.
17. H. Pasula, S.J. Russell, M. Ostland, and Y. Ritov, "Tracking Many Objects with Many Sensors," Proc. Int'l Joint Conf. Artifical Intelligence, pp. 1160-1171, 1999.
18. K. Tieu, G. Dalley, and W.E.L. Grimson, "Inference of Non-Overlapping Camera Network Topology by Measuring Statistical Dependence," Proc. Int'l Conf. Computer Vision, 2005.
19. O. Javed, K. Shafique, and M. Shah, "Appearance Modeling for Tracking in Multiple Non-Overlapping Cameras," Proc. IEEE Conf. Computer Vision and Pattern Recognition, 2005.
20. S. Geman and D. Geman, "Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images," IEEE Trans. Pattern Anallysis and Machine Intelligence, vol. 6, no. 6, pp. 721-741, 1984.
21. N. Dalal and B. Triggs, "Histograms of Oriented Gradients for Human Detection," Proc. IEEE Conf. Computer Vision and Pattern Recognition 2005.