Multiview pedestrian detection based on vector boosting

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4843 LNCS, Issue PART 1, 2007, Pages 210-219

  Hou, Cong ^a   Ai, Haizhou ^a   Lao, Shihong ^b  

^a TSINGHUA UNIVERSITY   (China)

^b OMRON CORPORATION   (Japan)

Author keywords

Classification; Pedestrian detection; Vector boosting

Indexed keywords

ALGORITHMS; FEATURE EXTRACTION; TREES (MATHEMATICS);

MULTIVIEW PEDESTRIAN DETECTION; VECTOR BOOSTING ALGORITHM;

VECTOR QUANTIZATION;

EID: 38149097882     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-76386-4_19     Document Type: Conference Paper

References (19)

1. Gavrila, D.M.: Sensor-based Pedestrian Protection. IEEE Intelligent Systems, 77-81 (2001)
2. Zhao, T.: Model-based Segmentation and Tracking of Multiple Humans in Complex Situations. In: CVPR 2003 (2003)
3. Ogale, N. A.: A survey of techniques for human detection from video, University of Maryland, Technical report (2005)
4. Munder, S., Gavrila, D.M.: An Experimental Study on Pedestrian Classification. TPAMI 28(11) (2006)
5. Wu, B., Nevatia, R.: Detection of Multiple, Partially Occluded Humans in a Single Image by Bayesian Combination of Edgelet Part Detectors. In: Sebe, N., Lew, M.S., Huang, T.S. (eds.) Computer Vision in Human-Computer Interaction. LNCS, vol. 3766, Springer, Heidelberg (2005)
6. Wu, B., Nevatia, R.: Tracking of Multiple, Partially Occluded Humans based on Static Body Part Detection. In: CVPR 2006 (2006)
7. Dalal, N., Triggs, B.: Histograms of Oriented Gradients for Human detection. In: CVPR 2005 (2005)
8. Dalal, N., Triggs, B., Schmid, C.: Human Detection Using Oriented Histograms of Flow and Appearance. In: Leonardis, A., Bischof, H., Pinz, A. (eds.) ECCV 2006. LNCS, vol. 3951, Springer, Heidelberg (2006)
9. Zhu, Q., Avidan, S., et al.: Fast Human Detection Using a Cascade of Histograms of Oriented Gradients. In: CVPR 2006 (2006)
10. Schapire, R.E., Singer, Y.: Improved Boosting Algorithms Using Confidence-rated Predictions. Machine Learning 37, 297-336 (1999)
11. Viola, P., Jones, M.: Rapid Object Detection using a Boosted Cascade of Simple Features. In: CVPR 2001 (2001)
12. Viola, P., Jones, M., Snow, D.: Detecting Pedestrians Using Pattern of Motion and Appearance. In: ICCV 2003 (2003)
13. Zhao, L., Thorpe, C.E.: Stereo- and Neural Network-Based Pedestrian Detection. IEEE Trans, on Intelligent Transportation Systems 1(3) (2000)
14. Gavrila, D.M.: The Visual Analysis of Human Movement: A Survey. Computer Vision and Image Understanding 73(1), 82-98 (1999)
15. Wu, B., Ai, H., et al.: Fast rotation invariant multi-view face detection based on Real Adaboost. In: FG 2004 (2004)
16. Li, S.Z., Zhu, L., et al.: Statistical Learning of Multi-View Face Detection. In: Heyden, A., Sparr, G., Nielsen, M., Johansen, P. (eds.) ECCV 2002. LNCS, vol. 2352, Springer, Heidelberg (2002)
17. Jones, M., Viola, P.: Fast Multi-view Face Detection. MERL-TR2003-96 (July 2003)
18. Huang, C., Ai, H.Z., et al.: Vector Boosting for Rotation Invariant Multi-View Face Detection. In: Sebe, N., Lew, M.S., Huang, T.S. (eds.) Computer Vision in Human-Computer Interaction. LNCS, vol. 3766, Springer, Heidelberg (2005)
19. Huang, C., Ai, H.Z., et al.: High-Performance Rotation Invariant Multiview Face Detection. TPAMI 29(4), 671-686 (2007)