Implementing Object Tracking In Low Latency Video Conferencing
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Implementing Object Tracking In Low Latency Video Conferencing
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Author : Supat Wongwirawat
language : en
Publisher:
Release Date : 2001
Implementing Object Tracking In Low Latency Video Conferencing written by Supat Wongwirawat and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with categories.
Ultra Low Latency Visual Servoing For High Speed Object Tracking Using Multi Focal Length Camera Arrays
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Author : Alexander Steven McCown
language : en
Publisher:
Release Date : 2019
Ultra Low Latency Visual Servoing For High Speed Object Tracking Using Multi Focal Length Camera Arrays written by Alexander Steven McCown and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with Electronic dissertations categories.
In high speed applications of visual servoing, latency from the recognition algorithm can cause significant degradation of in response time. Hardware acceleration allows for recognition algorithms to be applied directly during the raster scan from the image sensor, thereby removing virtually all video processing latency. This paper examines one such method, along with an analysis of design decisions made to optimize for use during high speed airborne object tracking tests for the US military. Designing test equipment for defense use involves working around unique challenges that arise from having many details being deemed classified or highly sensitive information. Designing tracking system without knowing any exact numbers for speeds, mass, distance or nature of the objects being tracked requires a flexible control system that can be easily tuned after installation. To further improve accuracy and allow rapid tuning to a yet undisclosed set of parameters, a machine learning powered auto-tuner is developed and implemented as a control loop optimizer.
Implementing Industry 4 0
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Author : Carlos Toro
language : en
Publisher: Springer Nature
Release Date : 2021-04-03
Implementing Industry 4 0 written by Carlos Toro and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-03 with Technology & Engineering categories.
This book relates research being implemented in three main research areas: secure connectivity and intelligent systems, real-time analytics and manufacturing knowledge and virtual manufacturing. Manufacturing SMEs and MNCs want to see how Industry 4.0 is implemented. On the other hand, groundbreaking research on this topic is constantly growing. For the aforesaid reason, the Singapore Agency for Science, Technology and Research (A*STAR), has created the model factory initiative. In the model factory, manufacturers, technology providers and the broader industry can (i) learn how I4.0 technologies are implemented on real-world manufacturing use-cases, (ii) test process improvements enabled by such technologies at the model factory facility, without disrupting their own operations, (iii) co-develop technology solutions and (iv) support the adoption of solutions at their everyday industrial operation. The book constitutes a clear base ground not only for inspiration of researchers, but also for companies who will want to adopt smart manufacturing approaches coming from Industry 4.0 in their pathway to digitization.
Computer Vision Accv 2018 Workshops
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Author : Gustavo Carneiro
language : en
Publisher: Springer
Release Date : 2019-06-18
Computer Vision Accv 2018 Workshops written by Gustavo Carneiro and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-18 with Computers categories.
This LNCS workshop proceedings, ACCV 2018, contains carefully reviewed and selected papers from 11 workshops, each having different types or programs: Scene Understanding and Modelling (SUMO) Challenge, Learning and Inference Methods for High Performance Imaging (LIMHPI), Attention/Intention Understanding (AIU), Museum Exhibit Identification Challenge (Open MIC) for Domain Adaptation and Few-Shot Learning, RGB-D - Sensing and Understanding via Combined Colour and Depth, Dense 3D Reconstruction for Dynamic Scenes, AI Aesthetics in Art and Media (AIAM), Robust Reading (IWRR), Artificial Intelligence for Retinal Image Analysis (AIRIA), Combining Vision and Language, Advanced Machine Vision for Real-life and Industrially Relevant Applications (AMV).
Proceedings Of The 21st Eann Engineering Applications Of Neural Networks 2020 Conference
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Author : Lazaros Iliadis
language : en
Publisher: Springer Nature
Release Date : 2020-05-27
Proceedings Of The 21st Eann Engineering Applications Of Neural Networks 2020 Conference written by Lazaros Iliadis and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-05-27 with Computers categories.
This book gathers the proceedings of the 21st Engineering Applications of Neural Networks Conference, which is supported by the International Neural Networks Society (INNS). Artificial Intelligence (AI) has been following a unique course, characterized by alternating growth spurts and “AI winters.” Today, AI is an essential component of the fourth industrial revolution and enjoying its heyday. Further, in specific areas, AI is catching up with or even outperforming human beings. This book offers a comprehensive guide to AI in a variety of areas, concentrating on new or hybrid AI algorithmic approaches with robust applications in diverse sectors. One of the advantages of this book is that it includes robust algorithmic approaches and applications in a broad spectrum of scientific fields, namely the use of convolutional neural networks (CNNs), deep learning and LSTM in robotics/machine vision/engineering/image processing/medical systems/the environment; machine learning and meta learning applied to neurobiological modeling/optimization; state-of-the-art hybrid systems; and the algorithmic foundations of artificial neural networks.
Object Tracking Algorithm And Vlsi Implementation For Advanced Video Based Surveillance System
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Author : 鍾育杰
language : en
Publisher:
Release Date : 2005
Object Tracking Algorithm And Vlsi Implementation For Advanced Video Based Surveillance System written by 鍾育杰 and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with categories.
Video Object Segmentation
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Author : Ning Xu
language : en
Publisher: Springer Nature
Release Date :
Video Object Segmentation written by Ning Xu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
Handbook Of Robust Low Rank And Sparse Matrix Decomposition
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Author : Thierry Bouwmans
language : en
Publisher: CRC Press
Release Date : 2016-09-20
Handbook Of Robust Low Rank And Sparse Matrix Decomposition written by Thierry Bouwmans and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-09-20 with Computers categories.
Handbook of Robust Low-Rank and Sparse Matrix Decomposition: Applications in Image and Video Processing shows you how robust subspace learning and tracking by decomposition into low-rank and sparse matrices provide a suitable framework for computer vision applications. Incorporating both existing and new ideas, the book conveniently gives you one-stop access to a number of different decompositions, algorithms, implementations, and benchmarking techniques. Divided into five parts, the book begins with an overall introduction to robust principal component analysis (PCA) via decomposition into low-rank and sparse matrices. The second part addresses robust matrix factorization/completion problems while the third part focuses on robust online subspace estimation, learning, and tracking. Covering applications in image and video processing, the fourth part discusses image analysis, image denoising, motion saliency detection, video coding, key frame extraction, and hyperspectral video processing. The final part presents resources and applications in background/foreground separation for video surveillance. With contributions from leading teams around the world, this handbook provides a complete overview of the concepts, theories, algorithms, and applications related to robust low-rank and sparse matrix decompositions. It is designed for researchers, developers, and graduate students in computer vision, image and video processing, real-time architecture, machine learning, and data mining.
Neuromorphic Engineering Systems And Applications
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Author : Chiara Bartolozzi
language : en
Publisher: Frontiers Media SA
Release Date : 2021-12-01
Neuromorphic Engineering Systems And Applications written by Chiara Bartolozzi and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-01 with Science categories.
Implementation Of Object Tracking Algorithm On Zynq Platform Using High Level Synthesis
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Author : Uzaif Sharif
language : en
Publisher:
Release Date : 2018
Implementation Of Object Tracking Algorithm On Zynq Platform Using High Level Synthesis written by Uzaif Sharif and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with categories.
Video and Image processing have thousands of applications ranging from smile detection in mobile phone cameras to automatic vehicle or even drones. In these applications, several applications are running on real-time videos like autonomous vehicle. In real-time scenarios, processing needs to be done as fast as possible because through video processing some control signals need to be generated. Video processing requires loads of calculation in unit time and has a massive stream of data. These factors restrict the video processing algorithms to be implemented on sequential processors. Therefore, the best approach for implementation of video processing algorithms is using hardware that is parallel unlike software running on processors. In this regard, FPGAs offer the best way for video processing algorithm because of their low-cost, less time to market and low NRE. Although, hardware implementation requires more development time and brain energy. But its performance is from 10 to 100 times faster than the software implementation. This project purposes the accelerated design for object recognition and tracking real-time implementation of ZYBO FPGA. The algorithm implemented to achieve this goal includes morphological operation and geometry based circle detection algorithm. The project is extended and implemented on a land lover robot for complete real-time tracking. This project aims to develop the artificial intelligence algorithm which would help in self-driven autonomous vehicles. This project mainly targets the industries working for artificial intelligence having the same purpose.