Modelling Multi-object Activity by Gaussian Processes

We present a new approach for activity modelling and anomaly detection based on non-parametric Gaussian Process (GP) models. Specifically, GP regression models are formulated to learn non-linear relationships between multi-object activity patterns observed from semantically decomposed regions in complex scenes.

• Type: Conference
• Year: 2009
• Where: BMVC
• Authors: Chen Change Loy, Tao Xiang, Shaogang Gong
• Keywords: Computer Vision, Surveillance, Video Analysis