A nonparametric approach to region-of-interest detection in wide-angle views ?
We model motion patterns using distribution of 3D structure tensor-based features. We use a nonparametric approach to learn the distribution of features. The approach detect both spatial and temporal regions-of-interest in videos. Qualitative and quantitative experiments show the effectiveness of the approach.
region of interest anomaly detection structure tensor unsupervised learning video analytics