Vehicle identification between non-overlapping cameras without direct feature matching

Proceedings of the IEEE International Conference on Computer Vision

Volumn I, Issue , 2005, Pages 378-385

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

^a SARNOFF CORPORATION   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

FEATURE MATCHING; NON-METRIC DISTANCES; NON-OVERLAPPING CAMERAS; VEHICLE IDENTIFICATION;

CAMERAS; COMPUTATIONAL METHODS; EDGE DETECTION; EMBEDDED SYSTEMS; IDENTIFICATION (CONTROL SYSTEMS); IMAGE SEGMENTATION; PROBABILITY DISTRIBUTIONS; PROBLEM SOLVING; VEHICLES;

FEATURE EXTRACTION;

EID: 33745934482     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCV.2005.247     Document Type: Conference Paper

References (17)

1. V. Athitsos, J. Alon, S. Sclaroff, and G. Kollios. Boostmap: A method for efficient approximate similarity rankings. In Proceedings IEEE Conf. on Computer Vision and Pattern Recognition (CVPR04), pages 268-275, 2004.
2. V. Athitsos and S. Sclaroff. Estimating 3D hand pose from a cluttered image. In Proceedings IEEE Conf. on Computer Vision and Pattern Recognition (CVPR03), page 432, 2003.
3. D. Gavrila and V. Philomin. Real-time object detection for "smart" vehicles. In International Conference on Computer Vision (ICCV99), pages 87-93, 1999.
4. K. Grauman and T. Darrell. Fast contour matching using approximate Earth Mover's Distance. In Proceedings IEEE Conf. on Computer Vision and Pattern Recognition (CVPR04), volume I, pages 220-227, 2004.
5. D. Huttenlocher, G. Klanderman, and W. Rucklidge. Comparing images using the Hausdorff distance. IEEE Trans. Pattern Analysis and Machine Intelligence (PAMI), 9(15):850-863, 1993.
6. P. Indyk and N. Thaper. Fast image retrieval via embeddings. In International Conference on Computer Vision (ICCV03), 2003.
7. D. Jacobs, D. Weinshall, and Y. Gdalyahu. Class representation and image retrieval with non-metric distances. IEEE Trans. Pattern Analysis and Machine Intelligence (PAMI), 22(6):583-600, 2000.
8. O. Javed, Z. Rasheed, K. Shafique, and M. Shah. Tracking across multiple cameras with disjoint views. In International Conference on Computer Vision (ICCV03), volume 2, pages 952-957, 2003.
9. V. Kettnaker and R. Zabih. Bayesian multi-camera surveillance. In Proceedings IEEE Conf. on Computer Vision and Pattern Recognition (CVPR99), 1999.
10. D. Koller, K. Daniilidis, and H.-H. Nagel. Model-based object tracking in monocular image sequences of road traffic scenes. International Journal of Computer Vision (IJCV), 10(3):257-281, 1993.
11. D. G. Lowe. Distinctive image features from scale-invariant keypoints. International Journal of Computer Vision (IJCV), 60(2):91-110, 2004.
12. C. F. Olson and D. P. Huttenlocher. Automatic target recognition by matching oriented edge pixels. IEEE Trans. Image Processing, 6(1):103-113, 1997.
13. H. Pasula, S. J. Russell, M. Ostland, and Y. Ritov. Tracking many objects with many sensors. In International Joint Conferences on Artificial Intelligence (IJCAI99), pages 1160-1171, 1999.
14. Y. Shan, H. S. Sawhney, and R. Kumar. Unsupervised learning of discriminative edge measures for vehicle matching between non-overlapping cameras. In Proceedings IEEE Conf. on Computer Vision and Pattern Recognition (CVPR05), 2005.
15. B. Stenger, A. Thayananthan, P. Torr, and R. Cipolla. Hand pose estimation using hierarchical detection. In International Workshop on Human-Computer Interaction, Lecture Notes in Computer Science, vol. 3058, Springer (2004), 2004.
16. T. Vetter and T. Poggio. Linear object classes and image synthesis from a single example image. IEEE Trans. Pattern Analysis and Machine Intelligence (PAMI), 19(7):733-742, 1997.
17. T.-F. Wu, C.-J. Lin, and R. C. Weng. Probability estimates for multi-class classification by pairwise coupling. Journal of Machine Learning Research, 2004.