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Volumn , Issue , 2008, Pages 1129-1134

Robust object detection based on decision trees and a new cascade architecture

Author keywords

[No Author keywords available]

Indexed keywords

ADABOOST ALGORITHM; CASCADE ARCHITECTURE; DATA SETS; FALSE ACCEPT RATE; FRONTAL FACES; OBJECT DETECTION; OBJECT DETECTION METHOD; ROBUST OBJECT DETECTION; TRAINING TIME; WEAK CLASSIFIERS;

EID: 70449601786     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CIMCA.2008.108     Document Type: Conference Paper
Times cited : (2)

References (17)
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    • Learning object detection from a small number of examples: The importance of good features
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  • 7
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  • 8
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    • Masnadi-Shirazi, H.1    Vasconcelos, N.2
  • 10
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    • Local features for object class recognition
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  • 14
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    • Detecting pedestrians using patterns of motion and appearance
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.