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Volumn 7, Issue 5, 2010, Pages 911-920

Performance of a bio-inspired model for the robust detection of moving targets in high dynamic range natural scenes

Author keywords

High Dynamic Range Natural Images.; Insect Vision; Target Detection

Indexed keywords

BIO-INSPIRED; COMPUTATIONAL PROCESS; ELECTROPHYSIOLOGICAL RECORDINGS; ENGINEERING PERSPECTIVE; FEATURE DISCRIMINATION; HIGH DYNAMIC RANGE; HIGH-PASS FILTERING; HIGHLY-CORRELATED; INSECT BRAIN; INSECT VISION; LUMINANCE VALUE; MOVING TARGETS; NATURAL IMAGES; NATURAL SCENES; NEURAL-PROCESSING; NUMERICAL MODELING; REAL-WORLD; RELATIVE MOTION; ROBUST DETECTION; SMALL MOVING OBJECTS; SMALL TARGET MOTION DETECTION; SMALL TARGETS; TARGET DETECTION; TARGET DISCRIMINATION; TARGET SIZE;

EID: 77954889391     PISSN: 15461955     EISSN: None     Source Type: Journal    
DOI: 10.1166/jctn.2010.1438     Document Type: Conference Paper
Times cited : (24)

References (45)
  • 25
    • 2442455164 scopus 로고
    • edited by N. B. Boca Raton, FL, CRC
    • A. C. James, Nonlinear Vision, edited by N. B. Boca Raton, FL, CRC (1992), 39-74.
    • (1992) Nonlinear Vision , pp. 39-74
    • James, A.C.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.