Real-time Smart Situation Awareness based on Camera Array and Machine Learning

Autor: Guifeng Shao, Fenghui Yao
Rok vydání: 2021
Předmět:
Zdroj: The Proceedings of The 9th IIAE International Conference on Industrial Application Engineering 2020.
Popis: This paper proposes a real-time situation awareness system based on a camera array and machines learning techniques. The camera array consists of multiple PTZ cameras which are divided into two classes: large area cameras and local area cameras. Large area cameras are used to detect the whole moving targets (persons) and local area cameras are used to detect the specific area of the moving targets (face). The detected moving target behaviors are recognized by using the convolutional neural networks (CNN) to determine the behavior is normal or abnormal. The detected faces are fed to face recognizer to determine the person is known or not. The experimental results show the proposed situation awareness system is effective and useful.
Databáze: OpenAIRE