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Volumn 2415 LNCS, Issue , 2002, Pages 1249-1254

Novelty detection in video surveillance using hierarchical neural networks

Author keywords

[No Author keywords available]

Indexed keywords

HIERARCHICAL SYSTEMS; MONITORING; NEURAL NETWORKS;

EID: 33749672739     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-46084-5_202     Document Type: Conference Paper
Times cited : (8)

References (12)
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    • Learning patterns of activity using real-time tracking
    • Stauffer, C., Grimson, W.E.L.: Learning Patterns of Activity Using Real-Time Tracking. IEEE Trans. PAMI, Vol. 22, No. 8 (2000)
    • (2000) IEEE Trans. PAMI , vol.22 , Issue.8
    • Stauffer, C.1    Grimson, W.E.L.2
  • 3
    • 84902197026 scopus 로고    scopus 로고
    • A new solution philosophy for complex pattern recognition problems
    • Foresti, G.L., Mähönen, P., Regazzoni, C.S. (eds), Kluwer Academic Publishers
    • Mattone, R., Glaeser, A., Buman, B.: A New Solution Philosophy for Complex Pattern Recognition Problems. In: Foresti, G.L., Mähönen, P., Regazzoni, C.S. (eds): Multimedia Video-Based Surveillance Systems: Requirements. Kluwer Academic Publishers
    • Multimedia Video-Based Surveillance Systems: Requirements
    • Mattone, R.1    Glaeser, A.2    Buman, B.3
  • 4
    • 0000470942 scopus 로고
    • Learning the distribution of object trajectories for event recognition
    • Johnson, N., Hogg, D.: Learning the Distribution of Object Trajectories for Event Recognition. Proc. BMVC, Vol. 2 (1995)
    • (1995) Proc. BMVC , vol.2
    • Johnson, N.1    Hogg, D.2
  • 5
    • 0033100649 scopus 로고    scopus 로고
    • A topological and temporal correlator network for spatiotemporal pattern learning, recognition and recall
    • Srinivasa, N., Narendra, A.: A Topological and Temporal Correlator Network for Spatiotemporal Pattern Learning, Recognition and Recall. IEEE Trans. Neural Networks, Vol. 10, No. 2 (1999)
    • (1999) IEEE Trans. Neural Networks , vol.10 , Issue.2
    • Srinivasa, N.1    Narendra, A.2
  • 7
    • 0020331278 scopus 로고
    • Neocognitron: A new algorithm for pattern recognition tolerant of deformation and shifts in position
    • Fukushima, K., Miyake, S.: Neocognitron: A New Algorithm for Pattern Recognition Tolerant of Deformation and Shifts in Position. Pattern Recognition, Vol. 15, No. 6 (1982)
    • (1982) Pattern Recognition , vol.15 , Issue.6
    • Fukushima, K.1    Miyake, S.2
  • 8
    • 0034842456 scopus 로고    scopus 로고
    • A hybrid learning network for shift-invariant recognition
    • Wang, R.: A Hybrid Learning Network for Shift-Invariant Recognition. Neural Network, Vol. 14 (2001)
    • (2001) Neural Network , vol.14
    • Wang, R.1
  • 9
    • 33751531646 scopus 로고    scopus 로고
    • Visual perception of translational and rotational motion
    • Mohan, R. (ed.), Machine Vision
    • Liaw, J.-S., King, I.K., Arbib, M.A.: Visual Perception of Translational and Rotational Motion. In: Mohan, R. (ed.): Progress in Neural Networks, Vol. 4: Machine Vision (1997)
    • (1997) Progress in Neural Networks , vol.4
    • Liaw, J.-S.1    King, I.K.2    Arbib, M.A.3
  • 10
    • 0034019549 scopus 로고    scopus 로고
    • Position invariant recognition in the visual system with cluttered environments
    • Stringer, S.M. and Rolls, E.T.: Position Invariant Recognition in the Visual System with Cluttered Environments. Neural Networks, Vol. 13 (2000)
    • (2000) Neural Networks , vol.13
    • Stringer, S.M.1    Rolls, E.T.2
  • 11
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    • Learning invariance from transformation sequences
    • Földiák, P.: Learning Invariance from Transformation Sequences. Neural Computation, Vol. 3 (1991)
    • (1991) Neural Computation , vol.3
    • Földiák, P.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.