Delta-dual hierarchical Dirichlet processes: A pragmatic abnormal behaviour detector

Research output: Contribution to conferencePaper

17 Citations (Scopus)
101 Downloads (Pure)

Abstract

In the security domain a key problem is identifying rare behaviours of interest. Training examples for these behaviours may or may not exist, and if they do exist there will be few examples, quite probably one. We present a novel weakly supervised algorithm that can detect behaviours that either have never before been seen or for which there are few examples. Global context is modelled, allowing the detection of abnormal behaviours that in isolation appear normal. Pragmatic aspects are considered, such that no parameter tuning is required and real time performance is achieved.
Original languageEnglish
Pages2198-2205
Number of pages8
Publication statusPublished - 2011
Event13th International Conference on Computer Vision (ICCV) - Barcelona, Spain
Duration: 6 Nov 201113 Nov 2011

Conference

Conference13th International Conference on Computer Vision (ICCV)
CountrySpain
CityBarcelona
Period6/11/1113/11/11

Fingerprint Dive into the research topics of 'Delta-dual hierarchical Dirichlet processes: A pragmatic abnormal behaviour detector'. Together they form a unique fingerprint.

Cite this