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Proceedings Paper

Utilization of the modified forward backward linear predication approach to isolate anomalous events
Author(s): Vahid R. Riasati
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Paper 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.

Paper Details

Date Published: 1 May 2017
PDF: 11 pages
Proc. SPIE 10203, Pattern Recognition and Tracking XXVIII, 102030D (1 May 2017); doi: 10.1117/12.2264713
Show Author Affiliations
Vahid R. Riasati, Northrop Grumman Corp. (United States)


Published in SPIE Proceedings Vol. 10203:
Pattern Recognition and Tracking XXVIII
Mohammad S. Alam, Editor(s)

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