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Volumn 3374, Issue , 1998, Pages 26-37

A practical implementation of joint multitarget probabilities

Author keywords

Bayesian filtering; Detection; Global density; Multisensor fusion; Multitarget probability; Nonlinear filtering; Probability approximation; Random sets; Sensor management; Tracking

Indexed keywords

APPROXIMATION THEORY; AUTOMATIC TARGET RECOGNITION; COMPUTATIONAL METHODS; MARKOV PROCESSES; PROBABILITY DENSITY FUNCTION; TRACKING (POSITION);

EID: 0032325680     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.327111     Document Type: Conference Paper
Times cited : (32)

References (17)
  • 1
    • 0001067018 scopus 로고
    • A unified foundation for data fusion
    • F.A. Sadjadi, ed., Selected Papers on Sensor and Data Fusion, SPIE Optical Engineering Press, Bellingham WA
    • (1994) SPIE , vol.MS-124 , pp. 325-345
    • Mahler, R.1
  • 2
  • 8
    • 58749104124 scopus 로고
    • A maximum likelihood estimator for report-to-track association
    • Signal and Data Processing for Small Targets
    • (1993) SPIE Proceedings , vol.1954 , pp. 386-393
    • Kastella, K.1
  • 11
    • 0032337950 scopus 로고    scopus 로고
    • Multisource-multitarget filtering: A unified approach
    • to appear
    • (1998) SPIE , vol.3373
    • Mahler, R.1
  • 12
    • 0032403356 scopus 로고    scopus 로고
    • Global posterior densities for sensor management
    • to appear
    • (1998) SPIE , vol.3365
    • Mahler, R.1
  • 14
    • 0029537696 scopus 로고
    • Comparison of mean-field tracker and joint probabilistic data association tracker in high-clutter environments
    • July 1995
    • (1995) SPIE Proceedings , vol.2561 , pp. 489-495
    • Kastella, K.1    Lutes, C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.