Foreground
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Background Modeling And Foreground Detection For Video Surveillance
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Author : Thierry Bouwmans
language : en
Publisher: CRC Press
Release Date : 2014-07-25
Background Modeling And Foreground Detection For Video Surveillance 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 2014-07-25 with Computers categories.
Background modeling and foreground detection are important steps in video processing used to detect robustly moving objects in challenging environments. This requires effective methods for dealing with dynamic backgrounds and illumination changes as well as algorithms that must meet real-time and low memory requirements.Incorporating both establish
A New Algorithm For Improving Basic Model Based Foreground Detection Using Neutrosophic Similarity Score
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Author : Keli Hu
language : en
Publisher: Infinite Study
Release Date :
A New Algorithm For Improving Basic Model Based Foreground Detection Using Neutrosophic Similarity Score written by Keli Hu and has been published by Infinite Study this book supported file pdf, txt, epub, kindle and other format this book has been release on with Mathematics categories.
Foreground detection is a task for detecting the moving objects in the scene like in video surveillance. Several basic background models are often used due to their high efficiency. However, their results are not good when there exists noisy information generated by the bad weather, camera jitter, etc. Neutrosophic set (NS) is as a new branch of philosophy dealing with the origin, nature and scope of neutralities. It has an inherent ability to handle the indeterminant information like the noise included in images and video sequences.
Handbook Of Foliage And Foreground Drawing
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Author : George Barnard
language : en
Publisher:
Release Date : 1884
Handbook Of Foliage And Foreground Drawing written by George Barnard and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1884 with Drawing categories.
A New Algorithm For Improving Basic Model Based Foreground Detection Using Neutrosophic Similarity Score
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Author : Keli Hu
language : en
Publisher: Infinite Study
Release Date :
A New Algorithm For Improving Basic Model Based Foreground Detection Using Neutrosophic Similarity Score written by Keli Hu and has been published by Infinite Study this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
Foreground detection is a task for detecting the moving objects in the scene like in video surveillance. Several basic background models are often used due to their high efficiency.
Handbook Of Foliage And Foreground Drawing
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Author : George Barnard
language : en
Publisher:
Release Date : 2018-08-03
Handbook Of Foliage And Foreground Drawing written by George Barnard and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-03 with categories.
Foreground Segmentation And Tracking Based On Foreground And Background Modeling Techniques
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Author : Jaime Gallego Vila
language : en
Publisher:
Release Date : 2009
Foreground Segmentation And Tracking Based On Foreground And Background Modeling Techniques written by Jaime Gallego Vila and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with categories.
Background Modeling And Foreground Detection For Video Surveillance
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Author : Thierry Bouwmans
language : en
Publisher: CRC Press
Release Date : 2014-07-25
Background Modeling And Foreground Detection For Video Surveillance 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 2014-07-25 with Computers categories.
Background modeling and foreground detection are important steps in video processing used to detect robustly moving objects in challenging environments. This requires effective methods for dealing with dynamic backgrounds and illumination changes as well as algorithms that must meet real-time and low memory requirements. Incorporating both established and new ideas, Background Modeling and Foreground Detection for Video Surveillance provides a complete overview of the concepts, algorithms, and applications related to background modeling and foreground detection. Leaders in the field address a wide range of challenges, including camera jitter and background subtraction. The book presents the top methods and algorithms for detecting moving objects in video surveillance. It covers statistical models, clustering models, neural networks, and fuzzy models. It also addresses sensors, hardware, and implementation issues and discusses the resources and datasets required for evaluating and comparing background subtraction algorithms. The datasets and codes used in the text, along with links to software demonstrations, are available on the book’s website. A one-stop resource on up-to-date models, algorithms, implementations, and benchmarking techniques, this book helps researchers and industry developers understand how to apply background models and foreground detection methods to video surveillance and related areas, such as optical motion capture, multimedia applications, teleconferencing, video editing, and human–computer interfaces. It can also be used in graduate courses on computer vision, image processing, real-time architecture, machine learning, or data mining.
Foreground Extraction From Images And Video
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Author : Jue Wang
language : en
Publisher: LAP Lambert Academic Publishing
Release Date : 2011-04
Foreground Extraction From Images And Video written by Jue Wang and has been published by LAP Lambert Academic Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-04 with categories.
Separating foreground objects from natural images and video plays an important role in image and video editing tasks. Despite extensive study in the last two decades, this problem still remains challenging. In particular, extracting a foreground object in a static image involves determining both full and partial pixel coverage, also known as extracting a matte, which is a severely under-constrained problem. Segmenting spatio-temporal video objects from a video sequence is even harder since extracted foregrounds on adjacent frames must be both spatially and temporally coherent. Previous approaches usually require a large amount of user input and still suffer from inaccurate results and low computational efficiency. This book demonstrates efficient and accurate foreground extraction methods and systems by combining advanced computational algorithms with novel user interfaces. Our systems are capable of extracting high quality foreground objects from images and video with a limited amount of user input such as a few paint strokes of the mouse. We also demonstrate a variety of applications with the extracted foreground objects.
Visual Concept For Foreground And Background Objects Using Deep Lab
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Author : Seyed Ali Mousavi
language : en
Publisher:
Release Date : 2018
Visual Concept For Foreground And Background Objects Using Deep Lab written by Seyed Ali Mousavi 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.
We are interested in studying the application of computer vision and visual clusters on creating both foreground and background objects. This is motivated by the observation that deep neural networks learn context as part of the objects. Therefore, by having a dictionary of parts for both foreground and background objects we can capture objects in occluded settings and separate the foreground from the background. Our work makes further contribution by having one network for both foreground and background objects rather than having multiple networks for multiple set of objects. We have demonstrated that a combination of the right network architecture and clustering algorithm can create visual concepts that can be used for both foreground and background objects.
Notes On The Tactical Use Of Foreground Illumination
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Author : United States. Army war college, Washington, D.C.
language : en
Publisher:
Release Date : 1918
Notes On The Tactical Use Of Foreground Illumination written by United States. Army war college, Washington, D.C. and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1918 with categories.