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Volumn 2, Issue , 2008, Pages 678-681

Anomaly detection with low-level processes in videos

Author keywords

Anomaly detection; Mixture of gaussian modelling (mog); Motion vector; Probability estimation

Indexed keywords

COMPUTER VISION; ESTIMATION; IMAGE PROCESSING; IMAGE SEGMENTATION; MIXTURES; OBJECT RECOGNITION; OPTICAL FLOWS; PROGRAMMING THEORY; SECURITY SYSTEMS; TRELLIS CODES; VIDEO RECORDING;

EID: 57549099481     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (8)

References (11)
  • 2
    • 0003784510 scopus 로고
    • Hierarchical Motion-Based Frame Rate Conversion
    • Technical report, David Sarnoff Research Center Princeton NJ 08540
    • J.R. Bergen & R. Hingorani. Hierarchical Motion-Based Frame Rate Conversion. Technical report, David Sarnoff Research Center Princeton NJ 08540, 1990.
    • (1990)
    • Bergen, J.R.1    Hingorani, R.2
  • 3
    • 33745944021 scopus 로고    scopus 로고
    • Detecting Irregularities in Images and in Video
    • ICCV, Bejing, pp
    • Boiman, M. Irani, Detecting Irregularities in Images and in Video. International Conference on Computer Vision (ICCV), Bejing, pp. 462-469, 2005.
    • (2005) International Conference on Computer Vision , pp. 462-469
    • Boiman, M.I.1
  • 6
    • 0345414073 scopus 로고    scopus 로고
    • Mean shift based clustering in high dimensions: A texture classification example
    • Nice, pp
    • Bogdan Georgescu, Ilan Shimshoni, and Petert Meer. Mean shift based clustering in high dimensions: A texture classification example, 9th International Conference on Computer Vision, Nice, pp. 456-463, 2003.
    • (2003) 9th International Conference on Computer Vision , pp. 456-463
    • Georgescu, B.1    Shimshoni, I.2    Meer, P.3
  • 8
    • 57549084016 scopus 로고    scopus 로고
    • V. Nair and J.J. Clark. Automated visual surveillance using hidden Markov models. In VI02, pp 88, 2002.
    • V. Nair and J.J. Clark. Automated visual surveillance using hidden Markov models. In VI02, pp 88, 2002.
  • 9
    • 57549092274 scopus 로고    scopus 로고
    • I. Pavlidis, V. Morellas, P. Tsiamyrtzia, and S. Harp
    • I. Pavlidis, V. Morellas, P. Tsiamyrtzia, and S. Harp.
  • 10
    • 0001521612 scopus 로고    scopus 로고
    • Urban surveillance systems: from the laboratory to the commercial world. Proceedings of the IEEE, 89(10), pp. 1478-1497, 2001.
    • Urban surveillance systems: from the laboratory to the commercial world. Proceedings of the IEEE, 89(10), pp. 1478-1497, 2001.
  • 11
    • 0032634283 scopus 로고    scopus 로고
    • Adaptive Background Mixture Models for Real-time Tracking
    • C. Stauffer and W.E.L. Grimson. Adaptive Background Mixture Models for Real-time Tracking. CVPR, pp. 246-252, 1999.
    • (1999) CVPR , pp. 246-252
    • Stauffer, C.1    Grimson, W.E.L.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.