A study on implementation of real-time intelligent video surveillance system based on embedded module
Abstract Conventional surveillance systems for preventing accidents and incidents do not identify 95% thereof after 22 min when one person monitors a plurality of closed circuit televisions (CCTV). To address this issue, while computer-based intelligent video surveillance systems have been studied t...
Enregistré dans:
Auteurs principaux: | Jin Su Kim, Min-Gu Kim, Sung Bum Pan |
---|---|
Format: | article |
Langue: | EN |
Publié: |
SpringerOpen
2021
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/20401b4acf2843e18a66a99fd0ee89de |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
A Robust Framework for MADS Based on DL Techniques on the IoT
par: Hussah Talal, et autres
Publié: (2021) -
In-Flight Tests of Intruder Detection Vision System
par: Paweł Rzucidło, et autres
Publié: (2021) -
Animal health syndromic surveillance: a systematic literature review of the progress in the last 5 years (2011–2016)
par: Dórea FC, et autres
Publié: (2016) -
Underground Imaging by Sub-Terahertz Radiation
par: Yuan Zheng, et autres
Publié: (2021) -
Enhancement of Radar Detection Accuracy Using H-Beam Wave Polarization in Random Media
par: Hosam El-Ocla
Publié: (2021)