Precision Security: Integrating Video Surveillance with Surrounding Environment Changes
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...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2018-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2018/2959030 |
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| _version_ | 1832565227603886080 |
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| author | Wenfeng Wang Xi Chen Guiwei Zhang Jing Qian Peng Wei Boqian Wu Hongwei Zheng |
| author_facet | Wenfeng Wang Xi Chen Guiwei Zhang Jing Qian Peng Wei Boqian Wu Hongwei Zheng |
| author_sort | Wenfeng Wang |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-45487a40b27e4c3f9e9696366eeb80cf |
| institution | Kabale University |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2018-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-45487a40b27e4c3f9e9696366eeb80cf2025-02-03T01:08:48ZengWileyComplexity1076-27871099-05262018-01-01201810.1155/2018/29590302959030Precision Security: Integrating Video Surveillance with Surrounding Environment ChangesWenfeng Wang0Xi Chen1Guiwei Zhang2Jing Qian3Peng Wei4Boqian Wu5Hongwei Zheng6CAS Research Center for Ecology and Environment of Central Asia, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, ChinaCAS Research Center for Ecology and Environment of Central Asia, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, ChinaSchool of Management Engineering and Business, Hebei University of Engineering, Handan 056038, ChinaCenter for Geo-Spatial Information, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, ChinaSchool of Information Science and Engineering, Xiamen University, Xiamen 361005, ChinaKey Laboratory of IOT Terminal Pivotal Technology, Harbin Institute of Technology, Shenzhen 518000, ChinaCAS Research Center for Ecology and Environment of Central Asia, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, ChinaVideo 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.http://dx.doi.org/10.1155/2018/2959030 |
| spellingShingle | Wenfeng Wang Xi Chen Guiwei Zhang Jing Qian Peng Wei Boqian Wu Hongwei Zheng Precision Security: Integrating Video Surveillance with Surrounding Environment Changes Complexity |
| title | Precision Security: Integrating Video Surveillance with Surrounding Environment Changes |
| title_full | Precision Security: Integrating Video Surveillance with Surrounding Environment Changes |
| title_fullStr | Precision Security: Integrating Video Surveillance with Surrounding Environment Changes |
| title_full_unstemmed | Precision Security: Integrating Video Surveillance with Surrounding Environment Changes |
| title_short | Precision Security: Integrating Video Surveillance with Surrounding Environment Changes |
| title_sort | precision security integrating video surveillance with surrounding environment changes |
| url | http://dx.doi.org/10.1155/2018/2959030 |
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