Discriminative feature co-occurrence selection for object detection

IEEE Transactions on Pattern Analysis and Machine Intelligence

Volumn 30, Issue 7, 2008, Pages 1257-1269

  Mita, Takeshi ^a   Kaneko, Toshimitsu ^a   Stenger, Björn ^a   Hori, Osamu ^a  

^a TOSHIBA CORPORATION   (Japan)

Author keywords

Face and gesture recognition; Feature evaluation and selection; Machine learning; Statistical

Indexed keywords

COBALT; COBALT ALLOYS; COBALT COMPOUNDS; DETECTORS; NUMERICAL METHODS;

(E ,3E) PROCESS; CO-OCCURRENCE; DETECTION RATES; EXPERIMENTAL RESULTS; HAND GESTURES; MULTIPLE FEATURES; OBJECT DETECTION; OBJECT DETECTORS; SEQUENTIAL FORWARD SELECTION (SFS); STRUCTURAL SIMILARITY (SSIM); TARGET OBJECTS;

FEATURE EXTRACTION;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; DISCRIMINANT ANALYSIS; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; METHODOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL;

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

EID: 45349090516     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPAMI.2007.70767     Document Type: Article

References (32)

1. K.K. Sung and T. Poggio, "Example-Based Learning for View-Based Human Face Detection," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 20, no. 1, pp. 39-51, Jan. 1998.
2. H.A. Rowley, S. Baluja, and T. Kanade, "Neural Network-Based Face Detection," IEEE Trans. Pattern Analysis and Machine Intelligence vol. 20, no. 1, pp. 23-38, Jan. 1998.
3. E. Osuna, R. Freund, and F. Girosi, "Training Support Vector Machines: An Application to Face Detection," Proc. Computer Vision and Pattern Recognition, pp. 130-136, 1997.
4. B. Heisele, T. Poggio, and M. Pontil, "Face Detection in Still Gray Images," A.I. Memo, no. 1687, 2000.
5. C.P. Papageorgiou, M. Oren, and T. Poggio, "A Trainable System for Object Detection," Int'l J. Computer Vision, vol. 38, pp. 15-33, 2000.
6. H. Schneiderman and T. Kanade, "Object Detection Using the Statistics of Parts," Int'l J. Computer Vision, vol. 56, pp. 151-177, 2004.
7. P. Viola and M. Jones, "Robust Real-Time Face Detection," Int'l J. Computer Vision, vol. 57, pp. 137-154, 2004.
8. R.E. Schapire and Y. Singer, "Improved Boosting Algorithms Using Confidence-Rated Predictions," Machine Learning, vol. 37, pp. 297-336, 1999.
9. B. Wu, H. Ai, C. Huang, and S. Lao, "Fast Rotation Invariant Multi-View Face Detection Based on Real AdaBoost," Proc. IEEE Conf. Automatic Face and Gesture Recognition, pp. 79-84, 2004.
10. C. Liu and H.Y. Shum, "Kullback-Leibler Boosting," Proc. Computer Vision and Pattern Recognition, pp. 587-594, 2003.
11. S.Z. Li and Z.Q. Zhang, "Float Boost Learning and Statistical Face Detection," IEEE Trans. Pattern Analysis and Machine Intelligence vol. 26, no. 9, pp. 1112-1123, Sept. 2004.
12. R. Lienhart and J. Maydt, "An Extended Set of Haar-Like Features for Rapid Object Detection," Proc. IEEE Int'l Conf. Image Processing, vol. 1, pp. 900-903, 2002.
13. Y. Freund and R.E. Schapire, "A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting," Computational Learning Theory: Eurocolt, pp. 23-37, 1995.
14. J. Friedman, T. Hastie, and R.J. Tibshirani, "Additive Logistic Regression: A Statistical View of Boosting," technical report, Dept. of Statistics, Sequoia Hall, Stanford Univ., July 1998.
15. A. Hadid, M. Pietikäinen, and T. Ahonen, "A Discriminative Feature Space for Detecting and Recognizing Faces," Proc. Computer Vision and Pattern Recognition, vol. 2, pp. 797-804, 2004.
16. M.H. Yang, D.J. Kriegman, and N. Ahuja, "Detecting Faces in Images: A Survey," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 24, no. 1, pp. 34-58, Jan. 2002.
17. M.A. Turk and A.P. Pentland, "Eigenfaces for Recognition," J. Cognitive Neurosciencen, vol. 3, no. 8, pp. 71-86, 1991.
18. D. Zhang, S.Z. Li, and D.G. Perez, "Real-Time Face Detection Using Boosting in Hierarchical Feature Spaces," Proc. Int'l Conf. Pattern Recognition, pp. 411-414, 2004.
19. F. Samaria and A. Harter, "Parameterisation of a Stochastic Model for Human Face Identification," Proc. Second IEEE Workshop Applications of Computer Vision, 1994.
20. P.J. Phillips, H. Wechsler, J. Huang, and P. Rauss, "The FERET Database and Evaluation Procedure for Face Recognition Algorithms," Image and Vision Computing J., vol. 16, no. 5, pp. 295-306, 1998.
21. T. Sim, S. Baker, and M. Bsat, "The CMU Pose, Illumination, and Expression (PIE) Database," Proc. Fifth Int'l Conf. Automatic Face and Gesture Recognition, 2002.
22. K. Messer, J. Matas, J. Kittler, J. Luettin, and G. Maitre, "XM2VTSDB: The Extended M2VTS Database," Proc. Second Conf. Audio and Video-Based Biometric Personal Verification, http:// www.ee.surrey.ac.uk/Research/VSSP/xm2vtsdb, 1999.
23. A.S. Georghiades, P.N. Belhumeur, and D.J. Kriegman, "From Few to Many: Generative Models for Recognition under Variable Pose and Illumination," Proc. IEEE Conf. Automatic Face and Gesture Recognition, pp. 277-284, 2000.
24. E.J. Ong and R. Bowden, "A Boosted Classifier Tree for Hand Shape Detection," Proc. IEEE Conf. Automatic Face and Gesture Recognition pp. 889-894, 2004.
25. M. Kölsch and M. Turk, "Robust Hand Detection," Proc. IEEE Conf. Automatic Face and Gesture Recognition, pp. 614-619, 2004.
26. P. Viola, M. Jones, and D. Snow, "Detecting Pedestrians Using Patterns of Motion and Appearance," Int'l J. Computer Vision, vol. 63, pp. 153-161, 2005.
27. A. Jain and D. Zongker, "Feature Selection: Evaluation, Application, and Small Sample Performance," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 19, no. 2, pp. 153-158, Feb. 1997.
28. P.M. Narendra and K. Fukunaga, "A Branch and Bound Algorithm for Feature Subset Selection," IEEE Trans. Computers, vol. 26, no. 9, pp. 917-922, Sept. 1977.
29. S.D. Strearns, "On Selecting Features for Pattern Classifiers," Proc. Int'l Conf. Pattern Recognition, pp. 71-75, 1976.
30. P. Pudil, J. Novovicova, and J. Kittler, "Floating Search Methods in Feature Selection," Pattern Recognition Letters, vol. 15, no. 11, pp. 1119-1125, 1994.
31. A. Torralba, K.P. Murphy, and W.T. Freeman, "Sharing Features: Efficient Boosting Procedures for Multiclass Object Detection," Proc. Computer Vision and Pattern Recognition, 2004.
32. C. Huang, H. Ai, Y. Li, and S. Lao, "High-Performance Rotation Invariant Multiview Face Detection," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 29, no. 4, pp. 671-686, Apr. 2007.