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Titlebook: Computer Vision in Control Systems-4; Real Life Applicatio Margarita N. Favorskaya,Lakhmi C. Jain Book 2018 Springer International Publishi

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Methods and Algorithms of Audio-Video Signal Processing for Analysis of Indoor Human Activity,mbient intelligent space and several implementations are discussed. The main idea is the development of proactive information services based on the analysis of user behavior and environment. The methods of image processing, such as illumination normalization and blur estimation based on focus estima
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Improving Audience Analysis System Using Face Image Quality Assessment,ired degree of recognition accuracy are the main practical criteria for most vision-based systems. When a person is observed by a surveillance camera, usually it is possible to acquire multiple face images of a single person. Most of these images are useless due to the problems like the motion blur,
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Techniques for Medical Images Processing Using Shearlet Transform and Color Coding, chapter presents the medical image processing and morphological analysis in the solution of urology and plastic surgery (hernioplasty) problems. Novel methodology for processing medical images using a color coding of contour representation obtained by Digital Shearlet Transform (DST) has been prese
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Image Analysis in Clinical Decision Support System,f image analysis with the aim of differential diagnostics in the CDSS are determined. The implementation is given through the method of multispectral images automatic processing and analysis for TV system of cervix oncological changes diagnostics. The method provides differential diagnostics of the
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A Novel Foot Progression Angle Detection Method,n a laboratory with a marker-based or Initial Measure Unit (IMU) based motion capture systems. A novel Visual Feature Matching (VFM) method is presented here, measuring the FPA by comparing the shoe orientation with the progression, i.e. the walking direction. Both the foot orientation and progressi
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Computer Vision in Control Systems-4978-3-319-67994-5Series ISSN 1868-4394 Series E-ISSN 1868-4408
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978-3-319-88527-8Springer International Publishing AG 2018
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