University of Surrey

Test tubes in the lab Research in the ATI Dance Research

Domain Anomaly Detection in Machine Perception: A System Architecture and Taxonomy.

Kittler, J, Christmas, W, de Campos, T, Windridge, D, Yan, F, Illingworth, J and Osman, M (2013) Domain Anomaly Detection in Machine Perception: A System Architecture and Taxonomy. IEEE Trans Pattern Anal Mach Intell.

[img]
Preview
Text
anomaly.pdf
Available under License : See the attached licence file.

Download (3MB) | Preview
[img]
Preview
Text (licence)
SRI_deposit_agreement.pdf
Available under License : See the attached licence file.

Download (33kB) | Preview

Abstract

We address the problem of anomaly detection in machine perception. The concept of domain anomaly is introduced as distinct from the conventional notion of anomaly used in the literature. We propose a unified framework for anomaly detection which exposes the multifaceted nature of anomalies and suggest effective mechanisms for identifying and distinguishing each facet as instruments for domain anomaly detection. The framework draws on the Bayesian probabilistic reasoning apparatus which clearly defines concepts such as outlier, noise, distribution drift, novelty detection (object, object primitive), rare events, and unexpected events. Based on these concepts we provide a taxonomy of domain anomaly events. One of the mechanisms helping to pinpoint the nature of anomaly is based on detecting incongruence between contextual and noncontextual sensor(y) data interpretation. The proposed methodology has wide applicability. It underpins in a unified way the anomaly detection applications found in the literature. To illustrate some of its distinguishing features, in here the domain anomaly detection methodology is applied to the problem of anomaly detection for a video annotation system.

Item Type: Article
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering > Centre for Vision Speech and Signal Processing
Authors :
AuthorsEmailORCID
Kittler, JUNSPECIFIEDUNSPECIFIED
Christmas, WUNSPECIFIEDUNSPECIFIED
de Campos, TUNSPECIFIEDUNSPECIFIED
Windridge, DUNSPECIFIEDUNSPECIFIED
Yan, FUNSPECIFIEDUNSPECIFIED
Illingworth, JUNSPECIFIEDUNSPECIFIED
Osman, MUNSPECIFIEDUNSPECIFIED
Date : 16 October 2013
Identification Number : 10.1109/TPAMI.2013.209
Related URLs :
Additional Information : © 2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Depositing User : Symplectic Elements
Date Deposited : 06 May 2015 09:40
Last Modified : 06 May 2015 13:33
URI: http://epubs.surrey.ac.uk/id/eprint/807513

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year


Information about this web site

© The University of Surrey, Guildford, Surrey, GU2 7XH, United Kingdom.
+44 (0)1483 300800