Burhan Ahmad Mudassar

An Unsupervised Anomalous Event Detection Framework with Class Aware Source Separation

This paper presents a novel problem of detection and localization of anomalous events due to a certain class of objects in video data with applications to smart surveillance. A baseline system is proposed that uses a convolutional neural network (CNN) to generate pixel level masks corresponding to o…