Online growing neural gas for anomaly detection in changing surveillance scenes

Qianru Sun, Hong Liu, Tatsuya Harada

Abstract: Highlights•Online GNG employs neighbor-related strategies to adjust dominant learning parameters in a fully automated way.•Online GNG can estimate the learning efficiency and adjust the network size to fit the unstable data space dynamically.•Online GNG effectively reduces the false alarms and leak detections caused by model aging which frequently happens in changing surveillance scenes.