1,720,973 research outputs found

    "Dynamic Scene Reconstruction For 3D Virtual Guidance"

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    In this paper a system is presented able to reproduce the actions of multiple moving objects into a 3D model. A multi-camera system is used for automatically detect, track and classify the objects. Data fusion from multiple sensors allows to get a more precise estimation of the position of detected moving objects and to solve occlusions problem. These data are then used to automatically place and animate objects avatars in a 3D virtual model of the scene, thus allowing users connected to this system to receive a 3D guide into the monitored environment

    Voogd Hendrik

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    Voce del repertorio biografico su H. Voog

    Wutky Michael

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    Voce del repertorio biografico su M. Wutk

    "Multimodal Cognitive System for Immersive User Interaction,"

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    In the recent years many efforts have been made to provide machines with the capability of effectively interact with its users. Here a system is introduced that supplies a virtual guide service to users by means of a mobile device (e.g. Palm, tablet PC, etc.). The architecture takes inspiration from a biological model of the cognitive processes, the Cognitive Cycle, performed by the brain while interacting with other entities. A variety of multimodal interfaces communicates messages to interact adaptively with the user. Results show the effectiveness of the different message modalities in real situation where an user is moving towards a target guided by the system

    "A Multi-Feature Object Association Framework for Overlapped Field of View Multi-Camera Video Surveillance Systems"

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    This work describes a data fusion technique to improve performances in objects localization and tracking for automatic video surveillance systems. The developed strategy is designed to perform well in case of interaction among objects, i.e. when the moving objects to track, and whose position we want to locate on the common map reference system, result superimposed in the image plane. In order to solve such complex situations, different kind of techniques have been integrated but the focus of the paper is on the data association step in the fusion chain. As discussed in the text, failing in the association phase means computing wrong position during fusion process. The performances of the developed technique has been evaluated on sequences of real images and experimental results show the validity of the approach in the reduction of association errors during occlusion phases

    Dynamic Scene Reconstruction for Efficient Remote Surveillance

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    n this paper a system is presented able to reproduce the actions of multiple moving objects into a 3D model. A multi-camera surveillance system is used for automatically detect, track and classify the objects. Data fusion from multiple sensors allows to get a more precise estimation of the position of detected moving objects and to solve occlusions problem. These data are then used to automatically place and animate objects avatars in a 3D virtual model of the scene, thus allowing a human operator to remotely visualize the dynamic 3D reconstruction by selecting a arbitrary point of vie

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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