Long range person and vehicle detection

Automatic detection and tracking of persons and vehicles can greatly increase situational awareness in many military applications. Various methods for detection and tracking have been proposed so far, both for rule-based and learning approaches. With the advent of deep learning, learning approaches generally outperform rule-based approaches. Pre...

Spatiotemporal detection of maritime targets using neural networks

Automatic detection and tracking of maritime targets in imagery can greatly increase situation awareness on naval vessels. Various methods for detection and tracking have been proposed so far, both for reasoning as well as for learning approaches. Learning approaches have the promise to outperform reasoning approaches. They typically detect...

Quantifying the uncertainty of event detection in full motion video

Algorithms for the detection and tracking of objects can be combined into a system that automatically extracts relevant events from a large amount of video data. Such a system , can be particularly useful in video surveillance applications, notably to support analysts in retrieving information from hours of video while working under strict time...

Combined backscatter and forward scatter radar detection of people

A sensor network has been developed consisting of four RF nodes that automatically set up a network organization and synchronize wirelessly. In the system bistatic backscatter and forward scatter radar measurements are combined. For detection of small and slow targets, like humans, suppression of the background including the direct signals...

Large scale track analysis for wide area motion imagery surveillance

Wide Area Motion Imagery (WAMI) enables image based surveillance of areas that can cover multiple square kilometers. Interpreting and analyzing information from such sources, becomes increasingly time consuming as more data is added from newly developed methods for information extraction. Captured from a moving Unmanned Aerial Vehicle (UAV), the...

Turbulence mitigation methods for sea scenarios

Visual and infrared imagery is degraded by turbulence caused by atmospheric conditions. Because the degradation gets worse for longer distances, turbulence especially hampers long range observation. At sea this turbulence affects classification and identification of ships and other objects. State of the art software based processing algorithms...

Online multi-face detection and tracking using detector confidence and structured SVMs

Online detection and tracking of a variable number of faces in video is a crucial component in many real-world applications ranging from video-surveillance to online gaming. In this paper we propose FAST-DT, a fully automated system capable of detecting and tracking a variable number of faces online without relying on any scene-specific cues....

Detection and tracking of humans from an airborne platform

Airborne platforms are recording large amounts of video data. Extracting the events which are needed to see is a timedemanding task for analysts. The reason for this is that the sensors record hours of video data in which only a fraction of the footage contains events of interest. For the analyst, it is hard to retrieve such events from the...

Mediacampaign - A multimodal semantic analysis system for advertisement campaign detection

MediaCampaign's scope is on discovering and inter-relating advertisements and campaigns, i.e. to relate advertisements semantically belonging together, across different countries and different media. The project's main goal is to automate to a large degree the detection and tracking of advertisement campaigns on television, Internet and in the...