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Volumn 43, Issue 9-10, 2006, Pages 976-989

Cost-function-based hypothesis control techniques for multiple hypothesis tracking

Author keywords

Gaussian mixture reduction; Multiple hypothesis tracking

Indexed keywords

ALGORITHMIC LANGUAGES; APPROXIMATION THEORY; COMPUTATIONAL COMPLEXITY; COSTS; KALMAN FILTERING; MIXTURES; PROBABILITY DENSITY FUNCTION;

EID: 33646043150     PISSN: 08957177     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.mcm.2005.05.022     Document Type: Article
Times cited : (45)

References (26)
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    • J.L. Williams, P.S. Maybeck, Cost-function-based Gaussian mixture reduction for target tracking, in: Proceedings of the Sixth International Conference of Information Fusion, International Society of Information Fusion, Cairns, Australia, 2003, pp. 1047-1054


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.