Precision Security: Integrating Video Surveillance with Surrounding Environment Changes
Wenfeng Wang,
Xi Chen,
Guiwei Zhang,
Jing Qian,
Peng Wei,
Boqian Wu,
Hongwei Zheng
Affiliations
Wenfeng Wang
CAS Research Center for Ecology and Environment of Central Asia, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China
Xi Chen
CAS Research Center for Ecology and Environment of Central Asia, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China
Guiwei Zhang
School of Management Engineering and Business, Hebei University of Engineering, Handan 056038, China
Jing Qian
Center for Geo-Spatial Information, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
Peng Wei
School of Information Science and Engineering, Xiamen University, Xiamen 361005, China
Boqian Wu
Key Laboratory of IOT Terminal Pivotal Technology, Harbin Institute of Technology, Shenzhen 518000, China
Hongwei Zheng
CAS Research Center for Ecology and Environment of Central Asia, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China
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 λ 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 λk to λk+1, k=1,2,…) 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.
