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Volumn , Issue , 2009, Pages 23-30

Fast features for time constrained object detection

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; GRAPHIC METHODS; OBJECT DETECTION; OBJECT RECOGNITION; TRAFFIC SIGNS;

EID: 70449567067     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2009.5204293     Document Type: Conference Paper
Times cited : (4)

References (20)
  • 1
    • 70449588048 scopus 로고    scopus 로고
    • Response to Mease and Wyner, Evidence Contrary to the Statistical View of Boosting
    • A. Buja and W. Stuetzle. Response to Mease and Wyner, Evidence Contrary to the Statistical View of Boosting, JMLR 9: 131-156, 2008.
    • (2008) JMLR , vol.9 , pp. 131-156
    • Buja, A.1    Stuetzle, W.2
  • 6
    • 0034164230 scopus 로고    scopus 로고
    • Additive logistic regression: A statistical view of boosting
    • J. Friedman, T. Hastie, and R. Tibshirani. Additive logistic regression: a statistical view of boosting. The Annals of Statistics, 38(2):337-374, 2000.
    • (2000) The Annals of Statistics , vol.38 , Issue.2 , pp. 337-374
    • Friedman, J.1    Hastie, T.2    Tibshirani, R.3
  • 8
    • 57749181116 scopus 로고    scopus 로고
    • On the importance of accurate weak classifier learning for boosted weak classifiers
    • June
    • G. Overett and L. Petersson. On the importance of accurate weak classifier learning for boosted weak classifiers. In IEEE Intelligent Vehicles Symposium (IV2008), June 2008.
    • (2008) IEEE Intelligent Vehicles Symposium (IV2008)
    • Overett, G.1    Petersson, L.2
  • 14
    • 0033281701 scopus 로고    scopus 로고
    • Improved boosting using confidence-rated predictions
    • R. E. Schapire and Y. Singer. Improved boosting using confidence-rated predictions. Machine Learning, 37(3):297-336, 1999.
    • (1999) Machine Learning , vol.37 , Issue.3 , pp. 297-336
    • Schapire, R.E.1    Singer, Y.2
  • 19
    • 34548102203 scopus 로고    scopus 로고
    • Detection and tracking of multiple, partially occluded humans by bayesian combination of edgelet based part detectors
    • B. Wu and R. Nevatia. Detection and tracking of multiple, partially occluded humans by bayesian combination of edgelet based part detectors. International Journal of Computer Vision, 2007.
    • (2007) International Journal of Computer Vision
    • Wu, B.1    Nevatia, R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.