Object detection by joint features based on two-stage boosting

2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops 2009

Volumn , Issue , 2009, Pages 1169-1176

  Mitsui, Tomokazu ^a   Fujiyoshi, Hironobu ^a  

^a CHUBU UNIVERSITY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

ADABOOST; CO-OCCURRENCE; LOW-LEVEL FEATURES; MULTIPLE CELLS; OBJECT DETECTION; OBJECT DETECTION METHOD; SHAPE SYMMETRY; SPATIAL INFORMATIONS; TRAINING METHODS; TWO STAGE;

CLASSIFIERS; COMPUTER VISION; DETECTORS; FACE RECOGNITION; OBJECT RECOGNITION; STATISTICAL METHODS;

ADAPTIVE BOOSTING;

EID: 77953186540     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCVW.2009.5457478     Document Type: Conference Paper

References (10)

1. Papageorgiou, C. P., Oren, M. and Poggio, T. "A general framework for object detection ", IEEE ICCV, pp. 555-562 (1998). 1
2. K. Levi and Y.Weiss, "Learning Object Detection from a Small Number of Examples: the Importance of Good Features. ", IEEE CVPR, vol. 2, pp. 53-60(2004). 1
3. B. Wu and R. Nevatia," Detection of Multiple, Partially Occluded Humans in a Single Image by Bayesian Combination of Edgelet Part Detectors ", IEEE ICCV, vol. 1, pp. 90-97 (2005). 1
4. Dalal, N. and Triggs, B." Histograms of Oriented Gradients for Human Detection ", IEEE CVPR, pp. 886-893 (2005). 1, 2, 5 (Pubitemid 43897286)
5. Freund, Y. and Schapier, R. E," Experiments with a new boosting algorithm ", Machine Learning,(1996). 1
6. P. Sabzmeydani and G. Mori," Detecting Pedestrians by Learning Shapelet Feature ", IEEE CVPR, pp. 511-518 (2007). 1, 5
7. Mita, T, Kaneko, T, Stenger, B, and Hori, O,"Discriminative Feature Co-Occurrence Selection for Object Detection", IEEE PAMI, vol. 30, no. 7, pp. 1257-1269, (2008). 1, 2, 3, 5
8. R. E. Schapire and Y. Singer," Improved Boosting Algorithms Using Confidence-rated Predictions ", Machine Learning, No. 37, pp. 297-336, (1999). 2
9. D. Comaniciu, P. Meer: " Mean Shift: A Robust Approach toward Feature Space Analysis ", IEEE PAMI, vol. 24, No. 5, pp. 603-619, (2002). 5
10. H. Fujiyoshi and T. Kanade," Layered Detection for Multiple Overlapping Objects ", IEICE Transactions on Information and systems, vol. E87-D, pp. 2821-2827 (2004). 6