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Volumn , Issue , 2007, Pages 529-538

Tracking multiple targets using binary proximity sensors

Author keywords

Binary sensing; Counting resolution; Particle filters; Sensor networks; Target tracking

Indexed keywords

ALGORITHMS; COMPUTATIONAL GEOMETRY; COMPUTER SIMULATION; INFORMATION ANALYSIS; PROBLEM SOLVING; PROXIMITY SENSORS; SENSOR NETWORKS;

EID: 35348873843     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1236360.1236427     Document Type: Conference Paper
Times cited : (141)

References (19)
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  • 7
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    • Mcmc-based particle filtering for tracking a variable number of interacting targets
    • Dec
    • Z. Khan, T. Balch, and F. Dellaert. Mcmc-based particle filtering for tracking a variable number of interacting targets. IEEE Trans. Pattern Analysis and Machine Intelligence, 27(11):1805-1819, Dec. 2005.
    • (2005) IEEE Trans. Pattern Analysis and Machine Intelligence , vol.27 , Issue.11 , pp. 1805-1819
    • Khan, Z.1    Balch, T.2    Dellaert, F.3
  • 9
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    • Distributed state representation for tracking problems in sensor networks
    • J. Liu, M. Chu, J. Liu, J. Reich, and F. Zhao. Distributed state representation for tracking problems in sensor networks. In Proc. of IPSN, 2004.
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    • Moghavvemi, M.1    Seng, L.C.2
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    • D. Reid. Aan algorithm for tracking multiple targets. IEEE Trans. Automatic Control, 24:843-854, Dec 1979.
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  • 17
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    • Target tracking with binary proximity sensors: Fundamental limits, minimal descriptions, and algorithms
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.