Pedestrian anomaly detection based on video surveillance
Jorge López Pérez · 2017
In this project, machine learning techniques based on statistical methodology will be used in order to implement an anomaly detection system. The aim is to simulate the behavior of a video surveillance camera from which the training data that is used to generate the detection model is extracted.