Feature fusion of detection systems via their ROC functions

Mark E. Oxley; James A. Fitch; Christine M. Schubert Kabban

doi:10.1117/12.920353

17 May 2012 Feature fusion of detection systems via their ROC functions

Mark E. Oxley, James A. Fitch, Christine M. Schubert Kabban

Proceedings Volume 8392, Signal Processing, Sensor Fusion, and Target Recognition XXI; 839213 (2012) https://doi.org/10.1117/12.920353
Event: SPIE Defense, Security, and Sensing, 2012, Baltimore, Maryland, United States

Abstract

A detection system outputs two distinct labels. Thus, there are two errors it can make. The Receiver Operating Characteristic (ROC) function quantifies both of these errors as parameters vary within the system. Combining two detection systems typically yields better performance when a combination rule is chosen appropriately. When multiple detection systems are combined, the assumption of independence is usually made in order to mathematically combine the individual ROC functions for each system into one ROC function. This paper investigates feature fusion of multiple detection systems. Given that one knows the ROC function for each individual detection system, we seek a formula with the resultant ROC function of the fused detection systems as a function (specifically, a transformation) of the respective ROC functions. In this paper we derive this transformation for a certain class of feature rules. An example will be given that demonstrates this transformation.

Citation Download Citation

Mark E. Oxley, James A. Fitch, and Christine M. Schubert Kabban "Feature fusion of detection systems via their ROC functions", Proc. SPIE 8392, Signal Processing, Sensor Fusion, and Target Recognition XXI, 839213 (17 May 2012); https://doi.org/10.1117/12.920353

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