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Volumn 6556 LNAI, Issue , 2011, Pages 157-168

Improving people awareness of service robots by semantic scene knowledge

Author keywords

[No Author keywords available]

Indexed keywords

BEHAVIOR DESIGN; DETECTION RATES; DOMESTIC SERVICES; INFORMATION SUPPORT; MOBILE SERVICE ROBOTS; PRIOR INFORMATION; ROBOCUP; ROBUST DETECTION; SERVICE ROBOTS;

EID: 79953244139     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-20217-9_14     Document Type: Conference Paper
Times cited : (6)

References (14)
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    • 33746486814 scopus 로고    scopus 로고
    • Approximate bayesian multibody tracking
    • Lanz, O.: Approximate bayesian multibody tracking. IEEE Trans. Pattern Anal. Mach. Intell. 28(9), 1436-1449 (2006)
    • (2006) IEEE Trans. Pattern Anal. Mach. Intell. , vol.28 , Issue.9 , pp. 1436-1449
    • Lanz, O.1
  • 6
    • 33846638203 scopus 로고    scopus 로고
    • Multi-cue pedestrian detection and tracking from a moving vehicle
    • Gavrila, D.M., Munder, S.: Multi-cue pedestrian detection and tracking from a moving vehicle. Int. Journal of Computer Vision 73(1), 41-59 (2007)
    • (2007) Int. Journal of Computer Vision , vol.73 , Issue.1 , pp. 41-59
    • Gavrila, D.M.1    Munder, S.2
  • 8
    • 35048849881 scopus 로고    scopus 로고
    • A boosted particle filter: Multitarget detection and tracking
    • Pajdla, T., Matas, J(G.) (eds.) ECCV 2004. Springer, Heidelberg
    • Okuma, K., Taleghani, A., de Freitas, N., Little, J.J., Lowe, D.G.: A boosted particle filter: Multitarget detection and tracking. In: Pajdla, T., Matas, J(G.) (eds.) ECCV 2004. LNCS, vol. 3021, pp. 28-39. Springer, Heidelberg (2004)
    • (2004) LNCS , vol.3021 , pp. 28-39
    • Okuma, K.1    Taleghani, A.2    De Freitas, N.3    Little, J.J.4    Lowe, D.G.5
  • 9
    • 34548102203 scopus 로고    scopus 로고
    • Detection and tracking of multiple, partially occluded humans by bayesian combination of edgelet based part detectors
    • Wu, B., Nevatia, R.: Detection and tracking of multiple, partially occluded humans by bayesian combination of edgelet based part detectors. International Journal of Computer Vision 75(2), 247-266 (2007)
    • (2007) International Journal of Computer Vision , vol.75 , Issue.2 , pp. 247-266
    • Wu, B.1    Nevatia, R.2
  • 11
    • 0002719797 scopus 로고
    • The hungarian method for the assignment problem
    • Kuhn, H.W.: The hungarian method for the assignment problem. Naval Research Logistics Quarterly 2(1), 83-97 (1955)
    • (1955) Naval Research Logistics Quarterly , vol.2 , Issue.1 , pp. 83-97
    • Kuhn, H.W.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.