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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 ...
- Guruh Fajar Shidik, Edi Noersasongko, Adhitya Nugraha, Pulung Nurtantio Andono, Jumanto Jumanto, Edi...
- 2019
- 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...
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...
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 ...
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...
- Amal Ben Hamida, Mohamed Koubaa, Henri Nicolas, Chokri Ben Amar
- 2016
Nowadays, video surveillance systems are in urgent and increasing demand to ensure people, things and places' security. The necessity to control and/or alert in case of abnormal events taking place requires pulling out more useful information from video data. Accordingly, there is motivation to improve scalability and capacity of video surveillance systems. Scalability issues in literature are ...
Jan 1, 2019 · 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 ...
The principal contributions mentioned in this paper are: i) A framework for a scalable application-oriented architecture for video surveillance systems; ii) A region of interest simplification method aiming to filter in a spatio-temporal way the captured data; iii) A region of interest modeling technique which simplifies the moving.
- Amal Ben Hamida, Mohamed Koubaa, Henri Nicolas, Chokri Ben Amar
- 2016
Aug 1, 2018 · There are many flavors of Video Surveillance Systems, each one trying to fulfill a piece of the market. Several categorizations can be drawn. Hence, one can categorize Video Surveillance Systems based on the type of imaging modality acquired, producing categories like “one camera systems”, “many camera systems”, “fixed camera systems”, “moving camera systems” and “hybrid ...
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Oct 7, 2020 · Recent advances in the field of object detection and face recognition have made it possible to develop practical video surveillance systems with embedded object detection and face recognition functionalities that are accurate and fast enough for commercial uses. In this paper, we compare some of the latest approaches to object detection and face recognition and provide reasons why they may or ...
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