Hybrid imaging-AI approach for handling critical situations in a fast-changing environment: preliminary study
Authors:
- Adam Surówka
Abstract
The purpose of this study is to explore the possibility of using selected imaging technologies in automated video surveillance systems. The main goal of this project is to handle events that may lead to security risks, injuries, etc in various environments without relaying on more conventional sensors such as infrared photocells. For this purpose it is necessary to perform a thorough analysis of the events to be interpreted as situations of interest. It is also important to consider the hardware requirements and restrictions for developing such system. The project requires defining a hardware as well as software platform(s) and their integration into an automated tool. This paper describes the implementation of the famous Microsoft Kinect 2.0 depth sensor (well known in gaming and recreational applications) for shape/skeleton detection, and its integration into an artificial intelligence based platform utilizing selected machine learning methods. The author reveals the system implementation details, and then demonstrates its shape detection capabilities while in operation.
- Record ID
- CUT5fda20d797db4076beaf5b712a5e72ba
- Publication categories
- ; ;
- Author
- Pages
- [1-7]
- Other elements of collation
- fot.; schem.; Bibliografia (na s.) - 6-7; Bibliografia (liczba pozycji) - 24; Oznaczenie streszczenia - Abstr.
- Substantive notes
- Section: E-mobility, Sustainable Materials and Technologies
- Book
- Tracz Tomasz, Tomasz Tracz Mróz Katarzyna, Katarzyna Mróz Zdeb Tomasz Tomasz Zdeb (eds.): MATBUD’2020 – Scientific-Technical Conference: E-mobility, Sustainable Materials and Technologies, MATEC Web of Conferences, no. 322, 2020, [S.l.], EDP Sciences, ISBN 978-2-7598-9108-5
- Keywords in English
- machine learning, surveillance systems
- DOI
- DOI:10.1051/matecconf/202032201048 Opening in a new tab
- URL
- https://www.matec-conferences.org/articles/matecconf/abs/2020/18/matecconf_matbud2020_01048/matecconf_matbud2020_01048.html Opening in a new tab
- Language
- eng (en) English
- License
- Score (nominal)
- 5
- Additional fields
- Indeksowana w: Web of Science
- Uniform Resource Identifier
- https://cris.pk.edu.pl/info/article/CUT5fda20d797db4076beaf5b712a5e72ba/
- URN
urn:pkr-prod:CUT5fda20d797db4076beaf5b712a5e72ba
* presented citation count is obtained through Internet information analysis, and it is close to the number calculated by the Publish or PerishOpening in a new tab system.