A Case Study in the use of ROC curves for Algorithm Design

Research output: Contribution to conferencePoster

Abstract

We describe the development of a vision system to detect natural events in a low-resolution image stream. The work involves the assessment of algorithmic design decisions to maximise detection reliability. This assessment is carried out by comparing measures and estimates made by the system under development with measures obtained independently. We show that even when these independent measures are themselves noisy, their independence can serve to guide design decisions and allow performance estimates to be made. Although presented here for one particular system design, we believe that such an approach will be applicable to other situations when an image-based system is to be used in the analysis of natural scenes in situations where a precise ground truth is not available.

Bibliographical metadata

Original languageEnglish
Pages193-202
Number of pages10
Publication statusPublished - 2001
Event12th British Machine Vision Conference - Manchester
Event duration: 10 Sep 200113 Sep 2001

Conference

Conference12th British Machine Vision Conference
CityManchester
Period10/09/0113/09/01