Wszystkie pola: video intelligence - Katalog OPAC zbiorów

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Tytuł:: Video intelligence as a tool of implementing the smart city concept
Autorzy:: Dewalska-Opitek, A.
Przybylski, M.
Powiązania:: https://bibliotekanauki.pl/articles/393553.pdf
Data publikacji:: 2015
Wydawca:: Polskie Stowarzyszenie Telematyki Transportu
Tematy:: smart city
smart solutions
ICT
video intelligence
inteligentne rozwiązania
Opis:: Smart City is nowadays the most modern and advanced form of a city’s development. It is based on ICT exploitation in six key areas, i.e.: economy, transport and communication, city governance, environment governance, people’s living space and quality of living. Development of innovative technologies, including video intelligence, creates wide opportunities to convert individual cities and agglomerations into intelligent, safe and sustainable places of living from the social, economic and environmental perspective. The issue of video intelligence systems will be the subject matter of the paper. It will also present the possibilities of complex implementation of the systems into the key areas of smart cities.
Źródło:: Archives of Transport System Telematics; 2015, 8, 1; 3-7
1899-8208
Pojawia się w:: Archives of Transport System Telematics
Dostawca treści:: Biblioteka Nauki

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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

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