Utilization of the modified forward backward linear predication approach to isolate anomalous events

Vahid R. Riasati

doi:10.1117/12.2264713

1 May 2017 Utilization of the modified forward backward linear predication approach to isolate anomalous events

Vahid R. Riasati

Proceedings Volume 10203, Pattern Recognition and Tracking XXVIII; 102030D (2017) https://doi.org/10.1117/12.2264713
Event: SPIE Defense + Security, 2017, Anaheim, CA, United States

Abstract

The Modified Forward Backward Linear Prediction, MFBLP, is powerful technique that enables an adaptive dimensionality reduction of the data through the estimation of the frequency domain representation of the data poles and the utilization of the ensuing transfer function for dimensionality reduction of the data. In this work, we isolate a data-region that is expected to encompass the statistical features of a given anomalous event relative to the statistical common data points. The isolated anomalous events are then compared with the adaptively extracted data using the MFBLP and the comparison is utilized to isolate the anomalous events of interest. The effects of different levels of noise are discussed in relation to dimensionality reduction using Eigen-features alone and by using Eigen-features accompanied by MFBLP.

Conference Presentation

Citation Download Citation

Vahid R. Riasati "Utilization of the modified forward backward linear predication approach to isolate anomalous events", Proc. SPIE 10203, Pattern Recognition and Tracking XXVIII, 102030D (1 May 2017); https://doi.org/10.1117/12.2264713

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