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Volumn 6, Issue 1, 2011, Pages 33-38

A closed-loop background subtraction approach for multiple Models based multiple objects tracking

Author keywords

Background subtraction; Closed loop; Multiple objects tracking; Visual surveillance

Indexed keywords

ADAPTIVE GAUSSIAN MIXTURE; BACKGROUND SUBTRACTION; CLOSED-LOOP; COMPUTATIONAL COSTS; DATA ASSOCIATION; DYNAMIC PROPERTY; DYNAMIC TRACKING; FOREGROUND OBJECTS; INTERACTING MULTIPLE MODEL; MOVING OBJECTS; MULTIPLE HYPOTHESIS; MULTIPLE MODELS; MULTIPLE OBJECTS; OBJECT DETECTION; OBJECT TRACKING; OPEN LOOPS; STATE-OF-THE-ART APPROACH; TRACKING FILTER; URBAN STREETS; VISUAL SURVEILLANCE; VISUAL SURVEILLANCE SYSTEMS;

EID: 79959394941     PISSN: 17962048     EISSN: None     Source Type: Journal    
DOI: 10.4304/jmm.6.1.33-38     Document Type: Article
Times cited : (7)

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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.