- Tytuł:
- People tracking in video surveillance systems based on artificial intelligence
- Autorzy:
-
Nasry, Abir
Ezzahout, Abderrahmane
Omary, Fouzia - Powiązania:
- https://bibliotekanauki.pl/articles/27314232.pdf
- Data publikacji:
- 2023
- Wydawca:
- Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
- Tematy:
-
person tracking
person detection
person identification
video surveillance
artificial intelligence - Opis:
- As security is one of the basic human needs, we need security systems that can prevent crimes from happen‐ ing. In general, surveillance videos are used to observe the environment and human behavior in a given location. However, surveillance videos can only be used to record images or videos, without additional information. There‐ fore, more advanced cameras are needed to obtain other additional information such as the position and move‐ ment of people. This research extracted this information from surveillance video footage using a person tracking, detection, and identification algorithm. The framework for these is based on deep learning algorithms, a popu‐ lar branch of artificial intelligence. In the field of video surveillance, person tracking is considered a challenging task. Many computer vision, machine learning, and deep learning techniques have been developed in recent years. The majority of these techniques are based on frontal view images or video sequences. In this work, we will compare some previous work related to the same topic.
- Źródło:
-
Journal of Automation Mobile Robotics and Intelligent Systems; 2023, 17, 1; 59--68
1897-8649
2080-2145 - Pojawia się w:
- Journal of Automation Mobile Robotics and Intelligent Systems
- Dostawca treści:
- Biblioteka Nauki
Artykuł