Multi-class boosting with color-based haar-like features

Proceedings - International Conference on Signal Image Technologies and Internet Based Systems, SITIS 2007

Volumn , Issue , 2007, Pages 719-726

  Chang, Wen Chung ^a   Cho, Chih Wei ^a  

^a NATIONAL TAIPEI UNIVERSITY OF TECHNOLOGY   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMOBILES; CAMERAS; CHARGE COUPLED DEVICES; CLASSIFIERS; COLOR; CONFORMAL MAPPING; HIGHWAY ENGINEERING; IMAGE ENHANCEMENT; INTERNET; OPTICAL PROPERTIES; REAL TIME SYSTEMS; STANDARDS; TARGETS;

BOOSTING ALGORITHMS; COLOR IMAGES; COLOR INFORMATIONS; CORRECT CLASSIFICATION RATES; DETECTION ALGORITHMS; GRAY LEVELS; HIGHWAY VEHICLES; IMAGE SPACES; REAL TRAFFICS; SYSTEM EFFICIENCIES; TARGET CLASSES; WEAK CLASSIFIERS;

LEARNING SYSTEMS;

EID: 57849149058     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SITIS.2007.119     Document Type: Conference Paper

References (17)

1. W.-C. Chang. Hybrid force and vision-based contour following of planar robots. Journal of Intelligent and Robotic Systems, 47(3):215-237, Nov. 2006.
2. W.-C. Chang. Binocular vision-based trajectory following for autonomous robotic manipulation. Robotica, 25(5):615-626, Sept. 2007.
3. W.-C. Chang. Precise positioning of binocular eye-to-hand robotic manipulators. Journal of Intelligent and Robotic Systems, 49(3):219-236, July 2007.
4. Y. Freund and R. Schapire. A decision-theoretic generalization of on-line learning and an application to boosting. Journal of Computer and System Science, 55(1): 119-139, Aug. 1997.
5. C. Huang, H. A1, B. Wu, and S. Lao. Boosting nested cascade detector for multi-view face detection. In Proc. of the IEEE 17th international conference on Pattern Recognition, volume 2, pages 415-418, England, UK, Aug 2004.
6. T. Kato, Y. Ninomiya, and I. Masaki. Preceding vehicle recognition based on learning from sample images. IEEE Transactions on Intelligent Transportation System, 3(1):252-260, Dec 2002.
7. A. Khammari, F. Nashashibi, Y. Abramson, and C. Lau-rgeau. Vehicle detection combining gradient analysis and adaboost classification. In Proc. of IEEE Intelligent Transportation System, pages 66-714, Vienna, Austria, Sep 2005.
8. R. Lienhart and J. Maydt. An extended set of harr-like features fo rapid object detection. In Proc. of IEEE Image Processing, pages 900-903, New York, NY, Dec 2002.
9. H. Luo, J. Yen, and D. Tretter. An efficient automatic redeye detection and correction algorithm. In Proc. of the IEEE 17th international conference on Pattern Recognition, pages 883-886, England, UK, Aug 2004.
10. T. Mita, T. Kaneko, and O. Hori. Joint haar-like features for face detection. In Proc. of IEEE International Conference on Computer Vision, pages 1619-1626, Beijing, China, Oct 2005.
11. C. Papageorgiou, M. Oren, and T. Poggio. A general framework for object detection. In Proc. of IEEE Computer Vision, pages 555-562, Bombay, India, Oct 1998.
12. R. Schapire and Y. Singer. Improved boosting algorithms using condensed-rated predictions. Machine Learning, 37(3):297-336, Feb. 1999.
13. Z. Sun, G. Bebis, and R. Miller. Monocular precrash vehicle detection : features and classifiers. IEEE Transactions on Image Processing, 15(7):2019-2034, Jul 2006.
14. Z. Sun and G. B. D. Dimeo. A real-time precrash vehicle detection system. In Proc. of IEEE Applications of computer vision, pages 171-176, Orlando, Flordia, Dec 2002.
15. P. Viola and M. Jones. Rapid object detection using a boosted cascade of simple features. In Proc. of IEEE Computer Vision and Pattern Recognition, pages 511-518, Kauai Marriott, Hawaii, Dec 2001.
16. R. Xiao, L. Zhu, and H.-J. Zhang. Boosting chain learning for object detection. In Proc. of IEEE International Conference on Computer Vision, volume 1, pages 705-719, Nice, France, Oct 2003.
17. S. K. Zhou, B. Georgescu, X. S. Zhou, and D. Comaniciu. Image based regression using boosting method. In Proc. of IEEE International Conference on Computer Vision, pages 541-548, Beijing, China, Oct 2005.