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% Abnormal Detection using NNMF on MIT video surveillance dataset% updated: 01 July 2016% Dr Vu Nguyen, v.nguyen@deakin.edu.au% reference: % Bayesian Nonparametric Approaches to Abnormality Detection in Video Surveillance. Nguyen, V., Phung, D., Pham, D. S., & Venkatesh, S In Annals of Data Science, pp 1-21, 2015.% Interactive Browsing System for Anomaly Video Surveillance. T.V. Nguyen, D. Phung, S. K. Gupta, and S Venkatesh In IEEE Eighth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP), pp 384-389, 2013.% The data has been preprocessed for background subtraction. (see script script_extract_feature.m)% In the paper, we use Bayesian Nonparametric Factor Analysis which identifies K=40 hidden patterns from the data. However the posterior% inference is slow. Thus, here we use the built-in function nnmf from Matlab for optimizing speed.
