메뉴 건너뛰기




Volumn , Issue , 2009, Pages 207-212

Bayesian bio-inspired model for learning interactive trajectories

Author keywords

Bio inspired model; Dynamic Bayesian Networks; Intearaction analysis; Trajectory analysis

Indexed keywords

AUTOMATIC UNDERSTANDING; BAYESIAN; BAYESIAN FRAMEWORKS; BIO-INSPIRED; CONDITIONAL PROBABILITY DENSITY; DYNAMIC BAYESIAN NETWORK; GAUSSIAN MIXTURE MODEL; HUMAN BEHAVIORS; MODEL DYNAMICS; REAL WORLD ENVIRONMENTS; SURVEILLANCE APPLICATIONS; TOPOLOGICAL MAP; TRAJECTORY ANALYSIS; TRANSITION PROBABILITIES;

EID: 72349093793     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/AVSS.2009.102     Document Type: Conference Paper
Times cited : (4)

References (14)
  • 6
    • 33748453850 scopus 로고    scopus 로고
    • On-line trajectory clustering for anomalous events detection
    • C. Piciarelli and G. Foresti, "On-line trajectory clustering for anomalous events detection," Pattern Recognition Letters, vol. 27, pp. 1835-1842, 2006.
    • (2006) Pattern Recognition Letters , vol.27 , pp. 1835-1842
    • Piciarelli, C.1    Foresti, G.2
  • 8
    • 0013288412 scopus 로고    scopus 로고
    • Dynamic Bayesian Networks: Representation, inference and learning,
    • Ph.D. dissertation, Berkeley, CA, USA
    • K. P. Murphy, "Dynamic Bayesian Networks: representation, inference and learning," Ph.D. dissertation, Berkeley, CA, USA, 2002.
    • (2002)
    • Murphy, K.P.1
  • 11
    • 0000742931 scopus 로고
    • A "neural-gas" network learns topologies
    • T. Martinetz and K. Schulten, "A "neural-gas" network learns topologies," in Artificial Neural Networks, vol. I, 1991, pp. 397-402.
    • (1991) Artificial Neural Networks , vol.1 , pp. 397-402
    • Martinetz, T.1    Schulten, K.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.