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ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 1 - Volume 1
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ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2
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AVSS '06 Proceedings of the IEEE International Conference on Video and Signal Based Surveillance
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Pattern Recognition
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CRV '07 Proceedings of the Fourth Canadian Conference on Computer and Robot Vision
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IEICE - Transactions on Information and Systems
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ISVC '09 Proceedings of the 5th International Symposium on Advances in Visual Computing: Part II
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SCIA'07 Proceedings of the 15th Scandinavian conference on Image analysis
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ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
KI'10 Proceedings of the 33rd annual German conference on Advances in artificial intelligence
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DICTA '10 Proceedings of the 2010 International Conference on Digital Image Computing: Techniques and Applications
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Journal of Mathematical Imaging and Vision
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Journal of Real-Time Image Processing
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This paper presents a full-body volumetric reconstruction of a person in a scene using a sensor network, where some of them can be mobile. The sensor network is comprised of couples of camera and inertial sensor (IS). Taking advantage of IS, the 3D reconstruction is performed using no planar ground assumption. Moreover, IS in each couple is used to define a virtual camera whose image plane is horizontal and aligned with the earth cardinal directions. The IS is furthermore used to define a set of inertial planes in the scene. The image plane of each virtual camera is projected onto this set of parallel-horizontal inertial-planes, using some adapted homography functions. A parallel processing architecture is proposed in order to perform human real-time volumetric reconstruction. The real-time characteristic is obtained by implementing the reconstruction algorithm on a graphics processing unit (GPU) using Compute Unified Device Architecture (CUDA). In order to show the effectiveness of the proposed algorithm, a variety of the gestures of a person acting in the scene is reconstructed and demonstrated. Some analyses have been carried out to measure the performance of the algorithm in terms of processing time. The proposed framework has potential to be used by different applications such as smart-room, human behavior analysis and 3D teleconference.