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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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發(fā)表于 2025-3-21 20:02:34 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Computer Vision in Control Systems-4
副標(biāo)題Real Life Applicatio
編輯Margarita N. Favorskaya,Lakhmi C. Jain
視頻videohttp://file.papertrans.cn/235/234086/234086.mp4
概述Addresses computer vision methodologies and technical solutions applied to advanced control systems using conventional and intelligent paradigms.Presents applications of and practical innovations in a
叢書名稱Intelligent Systems Reference Library
圖書封面Titlebook: Computer Vision in Control Systems-4; Real Life Applicatio Margarita N. Favorskaya,Lakhmi C. Jain Book 2018 Springer International Publishi
描述.The research book is a continuation of the authors’ previous works, which are focused on recent advances in computer vision methodologies and technical solutions using conventional and intelligent paradigms..The book gathers selected contributions addressing a number of real-life applications including the identification of handwritten texts, watermarking techniques, simultaneous localization and mapping for mobile robots, motion control systems for mobile robots, analysis of indoor human activity, facial image quality assessment, android device controlling, processing medical images, clinical decision-making and foot progression angle detection..Given the tremendous interest among researchers in the development and applications of computer vision paradigms in the field of business, engineering, medicine, security and aviation, the book offers a timely guide for all PhD students, professors, researchers and software developers working in the areas of digital video. processing and computer vision technologies..
出版日期Book 2018
關(guān)鍵詞Computer Vision; Intelligent Control Systems; Mobile Robots; Surveillance; Morphological Processing; Vide
版次1
doihttps://doi.org/10.1007/978-3-319-67994-5
isbn_softcover978-3-319-88527-8
isbn_ebook978-3-319-67994-5Series ISSN 1868-4394 Series E-ISSN 1868-4408
issn_series 1868-4394
copyrightSpringer International Publishing AG 2018
The information of publication is updating

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Unscented RGB-D SLAM in Indoor Environment,pter presents an improved resampling algorithm for the particle filtering through the adaptive thresholding based on the data of the effective particle number evolution. The proposed algorithm runs in real time and shows good accuracy and robustness in comparison with other modern SLAM systems using
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Development of Fast Parallel Algorithms Based on Visual and Audio Information in Motion Control Sysal perception and attention or also the joined audio perception and attention. These algorithms are usually tested in the most cases as simulations and cannot provide a real time tracking objects and people. Therefore, the goal in this chapter is to develop and test the fast parallel algorithms for
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Methods and Algorithms of Audio-Video Signal Processing for Analysis of Indoor Human Activity,image and limitation of the size of the zone of interest. Several approaches to audiovisual monitoring of meeting room participants are discussed. The main goal of the described system is to identify events in the smart conference room, such as the time, when a new user enters the room, a speech beg
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Improving Audience Analysis System Using Face Image Quality Assessment,age from a sequence in terms of a quality. Automatic face quality assessment can be used to monitor image quality for different applications, such as video surveillance, access control, entertainment, video-based face classification, and person identification and verification. In practical situation
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1868-4394 the book offers a timely guide for all PhD students, professors, researchers and software developers working in the areas of digital video. processing and computer vision technologies..978-3-319-88527-8978-3-319-67994-5Series ISSN 1868-4394 Series E-ISSN 1868-4408
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Predicting Output from Computer Experiments,algorithm is reinforced by the Arnold’s transform of a watermark, the parameters of which are stored in a secret key. The quality of the extracted watermarks under typical attacks, such as the scaling, disproportionate scaling, rotation, translation, and cropping, was estimated by the Bit Error Rate
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