Detecting Abnormal Events in Video Using Narrowed Normality Clusters
Detecting Abnormal Events in Video Using Narrowed Normality Clusters
We formulate the abnormal event detection problem as an outlier detection task and we propose a two-stage algorithm based on k-means clustering and one-class Support Vector Machines (SVM) to eliminate outliers. In the feature extraction stage, we propose to augment spatio-temporal cubes with deep appearance features extracted from the last …