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Titlebook: Computer Vision in Control Systems-2; Innovations in Pract Margarita N. Favorskaya,Lakhmi C. Jain Book 2015 Springer International Publishi

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Enhanced, Synthetic and Combined Vision Technologies for Civil Aviation,ed reality. The chapter addresses the general principles of the EVS/SVS/CVS development and proposes a number of original methods and algorithms for image enhancement, TV and infrared (IR) image fusion, vision based runway and obstacle detection, the SVS image creation, the EVS/SVS image fusion.
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Discussion and Hints for Future Work,nge a vehicle’s position and course. The corresponding control and error functions are provided. The model is implemented and tested numerically. The experiments confirmed a high reliability of the developed algorithms, which can be further applied in autonomous vehicle navigation and docking systems.
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Discussion and Hints for Future Work,Component Analysis (PCA) and non-local processing based on the denoising algorithms including multiple examples. Some attention is devoted to the modeling of noise on raw images. Finally, the charter ends with a discussion on the applicability of the specific filtration algorithms to modern tasks such as pattern recognition and object tracking.
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https://doi.org/10.1007/978-94-007-7031-7 and analyze this information in order to measure different statistical parameters. The proposed software solution can find its applications in different areas, from digital signage and video surveillance to the automatic systems of accident prevention and intelligent human-computer interfaces.
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Stefano Filippi,Ilaria Cristofolinieillance algorithms, situation description, and situation analysis. The technique for generation of the descriptions of the observed scene uses the predicates and is based on the statistical methods of object recognition. Examples demonstrate the implementation of our approach in visual navigation and search of on-land mobile objects.
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The Application of Machine Learning Techniques to Real Time Audience Analysis System, and analyze this information in order to measure different statistical parameters. The proposed software solution can find its applications in different areas, from digital signage and video surveillance to the automatic systems of accident prevention and intelligent human-computer interfaces.
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