Object detection based on a robust and accurate statistical multi-point-pair model

Pattern Recognition

Volumn 44, Issue 6, 2011, Pages 1296-1311

  Zhao, Xinyue ^a   Satoh, Yutaka ^b   Takauji, Hidenori ^a   Kaneko, Shun'Ichi ^a   Iwata, Kenji ^b   Ozaki, Ryushi ^c  

^a HOKKAIDO UNIVERSITY   (Japan)

^b NATIONAL INSTITUTE OF ADVANCED INDUSTRIAL SCIENCE AND TECHNOLOGY AIST   (Japan)

^c UNIVERSITY OF TSUKUBA   (Japan)

Author keywords

Background subtraction; Grayscale arranging pairs (GAP); Object detection; Statistical reach feature (SRF)

Indexed keywords

BACKGROUND MODEL; BACKGROUND SUBTRACTION; ENVIRONMENTAL CONDITIONS; GAP MODEL; GRAY SCALE; GRAYSCALE ARRANGING PAIRS (GAP); INTENSITY DIFFERENCE; MOVING OBJECTS; MULTIPLE POINTS; OBJECT DETECTION; OBJECT DETECTION METHOD; PRECISION AND RECALL; SINGLE PIXEL; SPATIAL CORRELATIONS; STATISTICAL REACH FEATURE (SRF);

MODELS; OBJECT RECOGNITION; STATISTICS;

PIXELS;

EID: 79551528759     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patcog.2010.11.022     Document Type: Article

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