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1. ieeexplore.ieee.org › document › 8911368A Systematic Review of Intelligence Video Surveillance ...

   ieeexplore.ieee.org › document › 8911368

   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.

2. ieeexplore.ieee.org › document › 6918215Toward scalable application-oriented video surveillance systems

   ieeexplore.ieee.org › document › 6918215

   Accordingly, there is motivation to improve scalability and capacity of video surveillance systems. Scalability issues in literature are always related to the processing layer of video surveillance systems. In this paper, we address scalability from the point of view of application layer.

3. link.springer.com › article › 10Video surveillance system based on a scalable application ...

   link.springer.com › article › 10

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   • Scalability For Video Surveillance System
   • Architecture Overview
   • Spatial Filtering
   • Temporal Filtering

   Scalability is the ability to represent a signal at different levels of information. The signal is encoded into a single bit stream and decoded into a basic flow and enhancement streams which the quality increases successively. Scalability constraints were firstly addressed in the MPEG-4/SVC and then fully answered in the H.264/SVC standard. Beside...

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   Based on the proposed classification in Section 2.2, we can remark that the tasks processed by the video surveillance system vary according to the intended application. Thus, the relevant information to be treated varies too depending on the application. Frequently, this information represents only small proportions of the recorded data. That is to...

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   The spatial filtering of the reference frame consists in sliding a window through the image. Every time, the robust mean of the window’s RGB pixels values is calculated and is attributed to the value of the window’s central pixel. It represents the mean of the T major colors values in the RGB color histogram (Tis experimentally fixed). The goal of ...

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   The temporal filtering is used to simplify the remainder P frames of the GOP based on the reference frame already filtered. The purpose is to modify the frames’ blocks depending on their corresponding blocks in the reference image. For every region of interest ROI in the N -th frame of the GOP(F N ), we search for its similar ROI BM in the previous...

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   • Author: Amal Ben Hamida, Mohamed Koubaa, Henri Nicolas, Chokri Ben Amar

   • Publish Year: 2016

4. link.springer.com › content › pdfVideo surveillance system based on a scalable application ...

   link.springer.com › content › pdf

   The relationship between SVC and video surveil-lance has always been studied to enhance coding, transmission and processing capacities of video surveillance systems. In this paper, we make a step toward studying scalability depend-ing on the desired application of the video surveillance system.

   • Author: Amal Ben Hamida, Mohamed Koubaa, Henri Nicolas, Chokri Ben Amar

   • Publish Year: 2016

5. www.mdpi.com › 2079/9292/12-17 › 3567A Survey of Video Surveillance Systems in Smart City - MDPI

   www.mdpi.com › 2079/9292/12-17 › 3567

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   Aug 23, 2023 · One of the key components of a smart city is a video surveillance system (VSS), which enables the detection and identification of various situations that are relevant to smart city applications, including public safety, crime prevention, traffic management, and environmental monitoring.

6. www.milestonesys.com › resources › contentCloud-based video surveillance | How it works and why consider it

   www.milestonesys.com › resources › content

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   Aug 28, 2024 · With that in mind, let’s look at how cloud-based video surveillance works in comparison to on-prem and hybrid deployment. We’ll cover the pros, cons and answers to frequently asked questions. In our discussion, we’ll reference our own XProtect® video management software (VMS) and Kite™ video surveillance as a service (VSaaS).

7. People also ask

   Are video surveillance systems application-oriented?

   • Abstract: 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.

   A Systematic Review of Intelligence Video Surveillance: Trends, Techniq…

   ieeexplore.ieee.org/document/8911368

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   What is a video surveillance system?

   • Nowadays, a Video Surveillance System can integrate some of the most sophisticated image and video analysis algorithms from research areas such as classification (e.g. neural networks or stochastic models), pattern recognition, decision-making, image enhancement and several others.

   Video surveillance systems-current status and future trends

   www.sciencedirect.com/science/article/pii/S0045790617311813

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   What modalities do surveillance systems use?

   • The most common modalities utilized by surveillance systems are discussed, putting emphasis on video, in terms of available resolutions and new imaging approaches, like High Dynamic Range video. The most important features and analytics are presented, along with the most common approaches for image / video quality enhancement.

   Video surveillance systems-current status and future trends

   www.sciencedirect.com/science/article/pii/S0045790617311813

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   What is a modern surveillance system?

   • Thus, a modern surveillance system comprises image and video acquisition devices, data processing - analysis modules and storage units, components, which are all crucial for the system's workflow. Literature suggests that surveillance systems have technically evolved under three generations.

   Video surveillance systems-current status and future trends

   www.sciencedirect.com/science/article/pii/S0045790617311813

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   How a surveillance system works?

   • The usual scenario of a surveillance system is to store the video footage for a pre-defined time-frame in order to use it in case of future events, related to the area under surveillance. In such scenarios, the common practice is to review the video streams which is a rather time-consuming and resource demanding task.

   Video surveillance systems-current status and future trends

   www.sciencedirect.com/science/article/pii/S0045790617311813

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   What is a drone based surveillance system?

   • Drone-Based Monitoring System Drone-based surveillance systems are useful for recording video in areas that are unreachable by fixed cameras on the ground. By transmitting recorded data to a nearby server or edge node, video data can be analyzed in real time to detect objects or situations and to respond .

   A Survey of Video Surveillance Systems in Smart City - MDPI

   www.mdpi.com/2079-9292/12/17/3567

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8. www.sciencedirect.com › science › articleVideo surveillance systems-current status and future trends

   www.sciencedirect.com › science › article

   Aug 1, 2018 · The scope of this paper is to survey the current status of Video Surveillance Systems, aiming to identify the best practices for image and video processing and analysis and highlights research challenges for next generated systems.