IDEAS home Printed from https://ideas.repec.org/a/hin/complx/2959030.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/8503/2018/2959030.pdf
    Download Restriction: no
    File URL: http://downloads.hindawi.com/journals/8503/2018/2959030.xml
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2018/2959030?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yi-Kuei Lin & Cheng-Fu Huang & Yi-Chieh Liao, 2019. "Reliability of a stochastic intermodal logistics network under spoilage and time considerations," Annals of Operations Research, Springer, vol. 277(1), pages 95-118, June.
    2. Junhu Ruan & Felix T. S. Chan & Xiaofeng Zhao, 2018. "Re-Planning the Intermodal Transportation of Emergency Medical Supplies with Updated Transfer Centers," Sustainability, MDPI, vol. 10(8), pages 1-20, August.
    3. Hu, Shaolong & Dong, Zhijie Sasha, 2019. "Supplier selection and pre-positioning strategy in humanitarian relief," Omega, Elsevier, vol. 83(C), pages 287-298.
    4. Chen, Wanying (Amanda) & De Koster, René B.M. & Gong, Yeming, 2021. "Performance evaluation of automated medicine delivery systems," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 147(C).
    5. Faraz Salehi & Masoud Mahootchi & Seyed Mohammad Moattar Husseini, 2019. "Developing a robust stochastic model for designing a blood supply chain network in a crisis: a possible earthquake in Tehran," Annals of Operations Research, Springer, vol. 283(1), pages 679-703, December.
    6. Jorge Celis & Andrea Cuenca, 2016. "La educación media en Colombia: una mirada al contexto internacional," Documentos de trabajo 17663, Escuela de Gobierno - Universidad de los Andes.
    7. Wenjuan Sun & Paolo Bocchini & Brian D. Davison, 2020. "Applications of artificial intelligence for disaster management," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 103(3), pages 2631-2689, September.
    8. Song, Zhuzhu & Tang, Wansheng & Zhao, Ruiqing, 2020. "A simple game theoretical analysis for incentivizing multi-modal transportation in freight supply chains," European Journal of Operational Research, Elsevier, vol. 283(1), pages 152-165.
    9. Wei Song & Zhiya Chen & Xuping Wang & Qian Wang & Chenghua Shi & Wei Zhao, 2017. "Environmentally Friendly Supplier Selection Using Prospect Theory," Sustainability, MDPI, vol. 9(3), pages 1-17, March.
    10. Weiwei Chen & Maozeng Xu & Qingsong Xing & Ligang Cui & Liudan Jiao, 2020. "A Fuzzy Demand-Profit Model for the Sustainable Development of Electric Vehicles in China from the Perspective of Three-Level Service Chain," Sustainability, MDPI, vol. 12(16), pages 1-18, August.
    11. Heng Wang & Zhenzhen Zhao & Zhiwei Guo & Zhenfeng Wang & Guangyin Xu, 2017. "An Improved Clustering Method for Detection System of Public Security Events Based on Genetic Algorithm and Semisupervised Learning," Complexity, Hindawi, vol. 2017, pages 1-10, June.
    12. Xu, Xinsheng & Wang, Hongwei & Dang, Chuangyin & Ji, Ping, 2017. "The loss-averse newsvendor model with backordering," International Journal of Production Economics, Elsevier, vol. 188(C), pages 1-10.
    13. Bajcz, Alex W. & Hiebeler, David & Drummond, Francis A., 2017. "Grid-Set-Match, an agent-based simulation model, predicts fruit set for the lowbush blueberry (Vaccinium angustifolium) agroecosystem," Ecological Modelling, Elsevier, vol. 361(C), pages 80-94.
    14. Pierpaolo D’Urso & María Ángeles Gil, 2017. "Fuzzy data analysis and classification," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 11(4), pages 645-657, December.
    15. Yi-Kuei Lin & Cheng-Fu Huang & Yi-Chieh Liao & Chih-Ching Yeh, 2017. "System reliability for a multistate intermodal logistics network with time windows," International Journal of Production Research, Taylor & Francis Journals, vol. 55(7), pages 1957-1969, April.
    16. Huilin Li & Jiaqi Yang & Ziquan Xiang, 2022. "A Fuzzy Linguistic Multi-Criteria Decision-Making Approach to Assess Emergency Suppliers," Sustainability, MDPI, vol. 14(20), pages 1-17, October.
    17. Shao, Jianfang & Liang, Changyong & Liu, Yujia & Xu, Jian & Zhao, Shuping, 2021. "Relief demand forecasting based on intuitionistic fuzzy case-based reasoning," Socio-Economic Planning Sciences, Elsevier, vol. 74(C).
    18. Gaoke Wu & Bo Feng & Libin Guo, 2021. "Optimal Procurement Strategy for Supply Chain with Trade Credit and Backorder under CVaR Criterion," Sustainability, MDPI, vol. 13(18), pages 1-16, September.
    19. Archetti, Claudia & Peirano, Lorenzo & Speranza, M. Grazia, 2022. "Optimization in multimodal freight transportation problems: A Survey," European Journal of Operational Research, Elsevier, vol. 299(1), pages 1-20.
    20. Liu, Jie & Schonfeld, Paul M. & Shuai, Chunyan & He, Mingwei & Wang, Kelvin C.P., 2022. "The controllability of China’s high-speed rail network in terms of delivering emergency supplies," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 606(C).

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hin:complx:2959030. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.