Presentation Open Access

STOP-IT Computer Vision Tool: Automatic identification of abnormal behavior

Nikolaos Bakalos

The Coordinated Network of Cameras tool is based on a Deep-Non-linear Auto-Regressive Moving Average (Deep-NARMA) filter that leverages the representational capabilities of Convolutional Neural Networks (CNN), properly modified to cope with the autoregressive nature of a tapped delay line, and transforms the inputs in an efficient non-linear feature map. The proposed classifier achieves an effective feature representation of the heterogeneous inputs but it simultaneously introduces an input-and output memory. We also propose a novel data fusion processing of different modalities to improve the detection accuracy of unusual behavior. Specifically, alongside the normal RGB surveillance, we can also leverage thermal imaging.

Files (33.1 MB)
Name Size
[STOP-IT]-Protection Against Physical Threats_CoordinatedCameras.pptx
md5:8088b1cb44538ff33524cd7e8262e81e
33.1 MB Download
74
13
views
downloads
All versions This version
Views 7474
Downloads 1313
Data volume 430.3 MB430.3 MB
Unique views 7474
Unique downloads 1212

Share

Cite as