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Volumn , Issue , 2013, Pages 129-132

Multi-view object detection using region-based random forest classifiers

Author keywords

Multi view; Object detection; PASCAL; Random forest; Region based classifier

Indexed keywords

MULTI-VIEWS; OBJECT DETECTION; PASCAL; RANDOM FORESTS; REGION-BASED;

EID: 84885895324     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (1)

References (7)
  • 2
    • 0035478854 scopus 로고    scopus 로고
    • Random forests
    • Breiman L., 2001. Random Forests. Machine Learning. Vol. 45, No. 5, pp. 5-32.
    • (2001) Machine Learning , vol.45 , Issue.5 , pp. 5-32
    • Breiman, L.1
  • 3
  • 4
    • 62949177665 scopus 로고    scopus 로고
    • Improving object detection with boosted histograms
    • Laptev I., 2009. Improving object detection with boosted histograms. Image and Vision Computing. Vol. 27, No. 5, pp. 535-544
    • (2009) Image and Vision Computing , vol.27 , Issue.5 , pp. 535-544
    • Laptev, I.1
  • 5
    • 78149313521 scopus 로고    scopus 로고
    • Backprojection revisited: Scalable multi-view object detection and similarity metrics for detections
    • Heraklion, Greece
    • Razavi N., Gall J., Gool L. V., 2010. Backprojection revisited: scalable multi-view object detection and similarity metrics for detections. Proc. of 11th European Conf. on Computer Vision. Heraklion, Greece, pp. 620-633.
    • (2010) Proc. of 11th European Conf. on Computer Vision , pp. 620-633
    • Razavi, N.1    Gall, J.2    Gool, L.V.3
  • 7
    • 84885906978 scopus 로고    scopus 로고
    • Web-1
    • Web-1: http://pascallin.ecs.soton.ac.uk/challenges/VOC/


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.