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Titlebook: Advances in Visual Computing; Third International George Bebis,Richard Boyle,Tom Malzbender Conference proceedings 2007 Springer-Verlag Be

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Motion Projection for Floating Object Detectionlow enables further computational performance improvements though special hardware such as field programmable gate arrays (FPGA) or Graphics Processing Units (GPUs). Experimental results show that this algorithm is able to detect mine regions in the video with reasonable false positive and minimum false negative rates.
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A Vision-Based Architecture for Intent Recognitionalyze the current scene employs a novel vision-based technique for target detection and tracking, using a non-parametric recursive modeling approach. Our intent recognition method uses a novel formulation of Hidden Markov Models (HMM’s) designed to model a robot’s experience and its interaction with the world while performing various actions.
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https://doi.org/10.1007/1-4020-2630-7em, a total least square method is used as a minimization technique. The method was tested on several standard sequences in the field and megavoltage images taken by linear accelerator devices and showed promising results.
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Emergence from a Vegetative State,uracy. The method is assessed qualitatively and quantitatively on synthetic and natural images. It is shown that the new approach can segment objects with complex shapes or weak-contrasted boundaries, and has good immunity to noise. The operator is also extended to 3-D, and is successfully applied to medical volume segmentation.
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