A secure framework of the surveillance video network integrating heterogeneous video formats and protocols

Lee, Kyungroul; Yim, Kangbin; Mikki, Mohammad A.

doi:10.1016/j.camwa.2011.08.048

Cited by 13 publications

(6 citation statements)

References 2 publications

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“…Moreover, the communication protocols between edge surveillance devices need to be much advanced [ 139 ]. By this there could be more understanding between multiple edge devices together and intelligently speak to each other.…”

Section: Discussion and Future Trendsmentioning

confidence: 99%

Horizontal Review on Video Surveillance for Smart Cities: Edge Devices, Applications, Datasets, and Future Trends

Ezzat

Ghany

Almotairi

et al. 2021

Sensors

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The automation strategy of today’s smart cities relies on large IoT (internet of Things) systems that collect big data analytics to gain insights. Although there have been recent reviews in this field, there is a remarkable gap that addresses four sides of the problem. Namely, the application of video surveillance in smart cities, algorithms, datasets, and embedded systems. In this paper, we discuss the latest datasets used, the algorithms used, and the recent advances in embedded systems to form edge vision computing are introduced. Moreover, future trends and challenges are addressed.

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Section: Discussion and Future Trendsmentioning

confidence: 99%

Horizontal Review on Video Surveillance for Smart Cities: Edge Devices, Applications, Datasets, and Future Trends

Ezzat

Ghany

Almotairi

et al. 2021

Sensors

View full text Add to dashboard Cite

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“…1) Kyungroul Lee et al's Framework (2012) Kyungroul Lee et al [177] proposed a secure framework that implemented a prototype sample of server and the implemented client module based on the architecture that had been introduced in his research to be able to adopt heterogeneous video networks and protocols for surveillance management. This paper briefly explained that most of the problems in video surveillance were due to the lack of connection and interoperatability of network cameras which made the effort to integrate video surveillance systems into a global large scale more difficult and expensive.…”

Section: H Intelligent Video Surveillance Frameworkmentioning

confidence: 99%

A Systematic Review of Intelligence Video Surveillance: Trends, Techniques, Frameworks, and Datasets

Shidik¹,

Noersasongko²,

Nugraha³

et al. 2019

IEEE Access

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Video surveillance systems obtain a great interest as application-oriented studies that have been growing rapidly in the past decade. The most recent studies attempt to integrate computer vision, image processing, and artificial intelligence capabilities into video surveillance applications. Although there are so many achievements in the acquisition of datasets, methods, and frameworks published, there are not many papers that can provide a comprehensive picture of the current state of video surveillance system research. This paper provides a comprehensive and systematic review on the literature from various video surveillance system studies published from 2010 through 2019. Within a selected study extraction process, 220 journal-based publications were identified and analyzed to illustrate the research trends, datasets, methods, and frameworks used in the field of video surveillance, to provide an in-depth explanation about research trends that many topics raised by researchers as a focus in their researches, to provide references on public datasets that are often used by researchers as a comparison and a means of developing a test method, and to give accounts on the improvement and integration of network infrastructure design to meet the demand for multimedia data. In the end of this paper, several opportunities and challenges related to researches in the video surveillance system are mentioned.INDEX TERMS Artificial intelligence, cloud video surveillance, intelligent video surveillance, video surveillance framework.This study is conducted as follows: the methodology of the study is presented in Section 2. The outcomes and answers to the research questions are then discussed in Section 3. Finally, the study is summarized in the last section.

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“…As such, the image DB module stores the visual information for the purpose of masking, and also contains the original video information for detecting object(s) that will lead to the identification information contained in the visual information. The module does not store masked visual information that is generated upon requests from users, hence no additional storage is required [48][49][50].…”

Section: Image Db Modulementioning

confidence: 99%

A Mechanism of Masking Identification Information regarding Moving Objects Recorded on Visual Surveillance Systems by Differentially Implementing Access Permission

Park

Kim

2019

Electronics

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Video surveillance systems (VSS), used as a measure of security strengthening as well as investigation, are provided principally in heavily crowded public places. They record images of moving objects and transmit them to the control center. Typically, the recorded images are stored after being encrypted, or masked using visual obfuscations on a concerned image(s) in the identification-enabling data contained in the visual information. The stored footage is recovered to its original state by authorized users. However, the recovery entails the restoration of all information in the visual data, possibly infiltrating the privacy of the object(s) other than the one(s) whose images are requested. In particular, Artificial Intelligence Healthcare that checks the health status of an object through images has the same problem and must protect the patient's identification information. This study proposes a masking mechanism wherein the infiltration of visual data privacy on videos is minimized by limiting the objects whose images are recovered with differential use of access permission granted to the requesting users.

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A secure framework of the surveillance video network integrating heterogeneous video formats and protocols

Cited by 13 publications

References 2 publications

Horizontal Review on Video Surveillance for Smart Cities: Edge Devices, Applications, Datasets, and Future Trends

Horizontal Review on Video Surveillance for Smart Cities: Edge Devices, Applications, Datasets, and Future Trends

A Systematic Review of Intelligence Video Surveillance: Trends, Techniques, Frameworks, and Datasets

A Mechanism of Masking Identification Information regarding Moving Objects Recorded on Visual Surveillance Systems by Differentially Implementing Access Permission

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