Rapid Annotation Tool to Train Novel Concept Detectors with Active Learning

Annotating a large set of images, especially with bounding boxes, is a tedious task. In this paper, we propose an intuitive image annotation tool. This tool not only allows (non-expert) users to annotate images with novel concepts, but is also able to achieve acceptable performance with a smaller number of annotated images. The tool can also...

Flexible image analysis for law enforcement agencies with deep neural networks to determine: Where, who and what

Due to the increasing need for effective security measures and the integration of cameras in commercial products, a huge amount of visual data is created today. Law enforcement agencies (LEAs) are inspecting images and videos to find radicalization, propaganda for terrorist organizations and illegal products on darknet markets. This is time...

Adaptive Virtual Tow Bar, research results 2016

This document reports the advances made in 2016 for the Early Research Program (ERP) Human Enhancement: Adaptive Automation, sub-project Adaptive Virtual Tow Bar. The ambition of the large scale TNO Early Research Program (ERP) Human Enhancement is to develop a transparent (human-in-the-loop) adaptive automation platform that substantially...

Automatic analysis of online image data for law enforcement agencies by concept detection and instance search

The information available on-line and off-line, from open as well as from private sources, is growing at an exponential rate and places an increasing demand on the limited resources of Law Enforcement Agencies (LEAs). The absence of appropriate tools and techniques to collect, process, and analyze the volumes of complex and heterogeneous data...