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Aerial image change detection is highly dependent on the accuracy of camera pose and may be subject to false alarms caused by misregistrations. In this paper, we present a novel pose estimation approach based on Visual Servoing that combines aerial videos with 3D models. Firstly, we introduce a formulation that relates image registration with the poses of a moving camera observing a 3D plane. Then,...
With the growing capacity of video devices, human operators are nowadays overwhelmed by the huge volumes of data generated in different applications including surveillance. Therefore, automatic video processing techniques are required in order to filter out uninteresting data and to focus the attention of operators. However, reliability is still a challenging problem. In this paper, we show how spatio-temporal...
Nowadays, the amount of video data acquired for observation or surveillance applications is overwhelming. Due to these huge volumes of video data, focusing the attention of operators on “areas of interest” requires change detection algorithms. In the particular task of aerial observation, camera motion and viewpoint differences introduce parallax effects, which may substantially affect the reliability...
Professional sport is a highly competitive field, and training tools are playing an increasingly important role. Recent improvements in sensor technology allow managers to monitor many new factors during training, but analyzing this data is time consuming, thus the need for specialized signal processing techniques. This paper presents our work on high level data extraction from tennis multi-view video...
This paper gives a thorough overview of EADS UrbanVIEW indexing and mining platform aimed at providing police forces and security officers with advanced tools to efficiently browse large video surveillance databases for investigation purposes. A scalable indexing architecture that works indifferently with smart or classical camera networks as well as for real-time or a posteriori indexing has been...
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