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Precision Security: Integrating Video Surveillance with Surrounding Environment Changes

Author

Listed:
  • Wenfeng Wang
  • Xi Chen
  • Guiwei Zhang
  • Jing Qian
  • Peng Wei
  • Boqian Wu
  • Hongwei Zheng

Abstract

Video surveillance plays a vital role in maintaining the social security although, until now, large uncertainty still exists in danger understanding and recognition, which can be partly attributed to intractable environment changes in the backgrounds. This article presents a brain-inspired computing of attention value of surrounding environment changes (EC) with a processes-based cognition model by introducing a ratio value of EC-implications within considered periods. Theoretical models for computation of warning level of EC-implications to the universal video recognition efficiency (quantified as time cost of implication-ratio variations from to , ) are further established. Imbedding proposed models into the online algorithms is suggested as a future research priority towards precision security for critical applications and, furthermore, schemes for a practical implementation of such integration are also preliminarily discussed.

Suggested Citation

  • Wenfeng Wang & Xi Chen & Guiwei Zhang & Jing Qian & Peng Wei & Boqian Wu & Hongwei Zheng, 2018. "Precision Security: Integrating Video Surveillance with Surrounding Environment Changes," Complexity, Hindawi, vol. 2018, pages 1-10, February.
    • Handle: RePEc:hin:complx:2959030
    DOI: 10.1155/2018/2959030
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    1. Smith, J.D.H. & Zhang, C., 2015. "Generalized Lotka stability," Theoretical Population Biology, Elsevier, vol. 103(C), pages 38-43.
    2. J.H. Ruan & X.P. Wang & F.T.S. Chan & Y. Shi, 2016. "Optimizing the intermodal transportation of emergency medical supplies using balanced fuzzy clustering," International Journal of Production Research, Taylor & Francis Journals, vol. 54(14), pages 4368-4386, July.
    3. Otjacques, W. & De Laender, F. & Kestemont, P., 2016. "Discerning the causes of a decline in a common European fish, the roach (Rutilus rutilus L.): A modelling approach," Ecological Modelling, Elsevier, vol. 322(C), pages 92-100.
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