Counting people in public buildings by video surveillance
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Дата
2020
Науковий керівник
Укладач
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Видавець
Анотація
In the event of an emergency in public buildings, it is important for rescue
services to know how many people were in the incident area. For example, the analysis
of rubble and ruins in which victims may be located must be carried out with high
speed and special precautions. When rescue operations are completed and there are no more people under the rubble or in the fire zone, other technical means can be used
with less urgency and caution. This work is devoted to solving the problem of
recognition and pairwise identification of incoming and outgoing people according to
CCTV cameras at the inputs and outputs.
Опис
Ключові слова
neural network, computer vision, image analysis, MobileNet, Transfer Learning
Бібліографічний опис
Інформатика, інформаційні системи та технології : тези доповід. 16-ї Всеукр. конф. студ. і молодих науковців, (Одеса, 24 квіт. 2020 р.). – Одеса, 2020.