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Volumn 8, Issue 1, 2011, Pages

Multiple-target tracking with binary proximity sensors

Author keywords

Algorithms; Experimentation; Theory

Indexed keywords

COMBINATORIAL COMPLEXITY; EXPERIMENTATION; GENERIC MODELS; GEOMETRIC ARGUMENTS; GREEDY ALGORITHMS; MINIMAL INFORMATION; MULTIPLE TARGETS; MULTIPLE-TARGET TRACKING; PARTICLE FILTERING ALGORITHMS; PASSIVE INFRARED SENSORS; PROBABILISTIC APPROACHES; SENSOR READINGS; THEORY; TRACKING PERFORMANCE;

EID: 80053042761     PISSN: 15504859     EISSN: 15504867     Source Type: Journal    
DOI: 10.1145/1993042.1993047     Document Type: Article
Times cited : (39)

References (25)
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  • 8
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    • Fang, Q.1    Zhao, F.2    Guibas, L.3
  • 10
    • 0036853823 scopus 로고    scopus 로고
    • Tracking targets using multiple robots: The effect of environment occlusion
    • DOI 10.1023/A:1020598107671
    • JUNG, B. AND SUKHATME, G. S. 2002. Tracking targets using multiple robots: The effect of environment occlusion. Auton. Robots 13, 3, 191-205. (Pubitemid 35377434)
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    • Jung, B.1    Sukhatme, G.S.2
  • 12
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    • MCMC-based particle filtering for tracking a variable number of interacting targets
    • DOI 10.1109/TPAMI.2005.223
    • KHAN, Z., BALCH, T., AND DELLAERT, F. 2005. MCMC-based particle filtering for tracking a variable number of interacting targets. IEEE Trans. Patt. Anal. Mach. Intell. 27, 11, 1805-1819. (Pubitemid 41685115)
    • (2005) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.27 , Issue.11 , pp. 1805-1819
    • Khan, Z.1    Balch, T.2    Dellaert, F.3
  • 20


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.