Tamper Detection for Active Surveillance Systems

Tsesmelis Theodore, Lars Christensen, Preben Fihl, Thomas B. Moeslund

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

11 Citationer (Scopus)

Abstrakt

If surveillance data are corrupted they are of no use to
neither manually post-investigation nor automatic video
analysis. It is therefore critical to automatically be able
to detect tampering events such as defocusing, occlusion
and displacement. In this work we for the first time ad-
dress this important problem for an active camera. We de-
tect these events by first comparing the incoming frames to
a background model using features relevant for the three
different tampering types. Individual detectors are then
developed capable of monitoring long video sequences and
indicating the occurrence of different tampering events.
In order to assess the developed methods we have collected
a large data set, which contains sequences from different
active cameras at different scenarios. We evaluate our sys-
tem on these data and the results are encouraging with a
very high detecting rate and relatively few false positives.
OriginalsprogEngelsk
Titel2013 10th IEEE International Conference on Advanced Video and Signal-Based Surveillance (AVSS)
Antal sider6
ForlagIEEE Press
Publikationsdato27 aug. 2013
Sider57-62
ISBN (Trykt)978-1-4799-0703-8, 9781479907045
ISBN (Elektronisk)9781479907021
DOI
StatusUdgivet - 27 aug. 2013
BegivenhedAVSS 2013 - Kraków, Polen
Varighed: 27 aug. 201330 aug. 2013

Konference

KonferenceAVSS 2013
LandPolen
ByKraków
Periode27/08/201330/08/2013

Fingeraftryk Dyk ned i forskningsemnerne om 'Tamper Detection for Active Surveillance Systems'. Sammen danner de et unikt fingeraftryk.

Citationsformater