國立虎尾科技大學 |

Interactive video surveillance as an edge service

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Interactive video surveillance as an edge service / by Seyed Yahya Nikouei and Yu Chen.
作者:	Nikouei, Seyed Yahya,
其他作者:	Chen, Yu,
面頁冊數:	1 online resource (59 pages) :illustrations. :
標題:	Video surveillance. -
電子資源:	https://dx.doi.org/10.1117/3.100000
ISBN:	9781510668492

Interactive video surveillance as an edge service
Nikouei, Seyed Yahya,

Interactive video surveillance as an edge service [electronic resource] /by Seyed Yahya Nikouei and Yu Chen. - 1 online resource (59 pages) :illustrations. - SPIE spotlight ;SL72. - SPIE Digital Library..

Includes bibliographical references.

Preface -- 1 Introduction -- 1.1 Migration from cloud to edge -- 1.2 Key components -- 2 Video Surveillance for Public Safety: An Overview -- 2.1 Human detection at the edge -- 2.2 Object tracking at the edge -- 2.3 Behavior recognition -- 3 Interactive Surveillance -- 3.1 Rationales and design principles -- 3.2 Enabling technologies -- 3.3 Object tracking -- 3.4 Fuzzy mathematics -- 4 Loitering Detection: A Case Study -- 4.1 System overview -- 4.2 Key design tradeoffs -- 4.3 Implementation -- 4.4 Performance and evaluation -- 4.5 Limitations and open issues -- 5 Conclusions and Future Opportunities -- References

Restricted to subscribers or individual electronic text purchasers.

"The safety of the community is a vital issue as the crime rate is reaching 50 per 100,000 people in the United States. The surveillance communities are looking into new ways to protect members and possibly help with the reduction in the numbers. Today, surveillance video analysis mostly relies on teams of specially trained officers manually watching thousands of hours of video captured in real-time surveilled locations, while looking into historical records in case of an incident in locations with lower priority. Starting with the background and fundamentals of state-of-the-art video surveillance for public safety in the era of Smart Cities, this Spotlight Series book highlights the rationale, principle, and case study of interactive video surveillance as an edge service based on unsupervised feature queries. We demonstrate the use of readily accessible IoT hardware and showcase how compact computing units can efficiently execute deep learning models for near real-time to real-time performance in object detection and behavior classification tasks."--

Mode of access: World Wide Web.

ISBN: 9781510668492

Standard No.: 10.1117/3.100000doiSubjects--Topical Terms:

720462
Video surveillance.
Index Terms--Genre/Form:

554714
Electronic books.

LC Class. No.: TK6680.3 / .N555 2024eb

Dewey Class. No.: 621.389/28

Interactive video surveillance as an edge service
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505 0 # $a Preface -- 1 Introduction -- 1.1 Migration from cloud to edge -- 1.2 Key components -- 2 Video Surveillance for Public Safety: An Overview -- 2.1 Human detection at the edge -- 2.2 Object tracking at the edge -- 2.3 Behavior recognition -- 3 Interactive Surveillance -- 3.1 Rationales and design principles -- 3.2 Enabling technologies -- 3.3 Object tracking -- 3.4 Fuzzy mathematics -- 4 Loitering Detection: A Case Study -- 4.1 System overview -- 4.2 Key design tradeoffs -- 4.3 Implementation -- 4.4 Performance and evaluation -- 4.5 Limitations and open issues -- 5 Conclusions and Future Opportunities -- References
506 # $a Restricted to subscribers or individual electronic text purchasers.
520 # $a "The safety of the community is a vital issue as the crime rate is reaching 50 per 100,000 people in the United States. The surveillance communities are looking into new ways to protect members and possibly help with the reduction in the numbers. Today, surveillance video analysis mostly relies on teams of specially trained officers manually watching thousands of hours of video captured in real-time surveilled locations, while looking into historical records in case of an incident in locations with lower priority. Starting with the background and fundamentals of state-of-the-art video surveillance for public safety in the era of Smart Cities, this Spotlight Series book highlights the rationale, principle, and case study of interactive video surveillance as an edge service based on unsupervised feature queries. We demonstrate the use of readily accessible IoT hardware and showcase how compact computing units can efficiently execute deep learning models for near real-time to real-time performance in object detection and behavior classification tasks."-- $c Provided by publisher.
530 $a Also published in print version.
538 $a Mode of access: World Wide Web.
538 $a System requirements: Adobe Acrobat Reader.
588 $a Title from PDF title page (SPIE eBooks Website, viewed 2024-03-14)
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