A memorization network model of normal environment for anomaly detection

摘要: The authors propose a three-layered network structure to detect abnormal objects in environments where surveillance cameras, security robots, and other image devices are employed for routine observations. By referring the input patterns obtained from environment, is structured memorize normal states of by constantly updating connection weights network. As result learning, detects images. We conducted experiments an office corridor verify effectiveness proposed anomaly detection.