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Author: Sudipta Mukhopadhyay Publisher: Springer Nature ISBN: 3031022513 Category : Technology & Engineering Languages : en Pages : 79
Book Description
Current vision systems are designed to perform in normal weather condition. However, no one can escape from severe weather conditions. Bad weather reduces scene contrast and visibility, which results in degradation in the performance of various computer vision algorithms such as object tracking, segmentation and recognition. Thus, current vision systems must include some mechanisms that enable them to perform up to the mark in bad weather conditions such as rain and fog. Rain causes the spatial and temporal intensity variations in images or video frames. These intensity changes are due to the random distribution and high velocities of the raindrops. Fog causes low contrast and whiteness in the image and leads to a shift in the color. This book has studied rain and fog from the perspective of vision. The book has two main goals: 1) removal of rain from videos captured by a moving and static camera, 2) removal of the fog from images and videos captured by a moving single uncalibrated camera system. The book begins with a literature survey. Pros and cons of the selected prior art algorithms are described, and a general framework for the development of an efficient rain removal algorithm is explored. Temporal and spatiotemporal properties of rain pixels are analyzed and using these properties, two rain removal algorithms for the videos captured by a static camera are developed. For the removal of rain, temporal and spatiotemporal algorithms require fewer numbers of consecutive frames which reduces buffer size and delay. These algorithms do not assume the shape, size and velocity of raindrops which make it robust to different rain conditions (i.e., heavy rain, light rain and moderate rain). In a practical situation, there is no ground truth available for rain video. Thus, no reference quality metric is very useful in measuring the efficacy of the rain removal algorithms. Temporal variance and spatiotemporal variance are presented in this book as no reference quality metrics. An efficient rain removal algorithm using meteorological properties of rain is developed. The relation among the orientation of the raindrops, wind velocity and terminal velocity is established. This relation is used in the estimation of shape-based features of the raindrop. Meteorological property-based features helped to discriminate the rain and non-rain pixels. Most of the prior art algorithms are designed for the videos captured by a static camera. The use of global motion compensation with all rain removal algorithms designed for videos captured by static camera results in better accuracy for videos captured by moving camera. Qualitative and quantitative results confirm that probabilistic temporal, spatiotemporal and meteorological algorithms outperformed other prior art algorithms in terms of the perceptual quality, buffer size, execution delay and system cost. The work presented in this book can find wide application in entertainment industries, transportation, tracking and consumer electronics. Table of Contents: Acknowledgments / Introduction / Analysis of Rain / Dataset and Performance Metrics / Important Rain Detection Algorithms / Probabilistic Approach for Detection and Removal of Rain / Impact of Camera Motion on Detection of Rain / Meteorological Approach for Detection and Removal of Rain from Videos / Conclusion and Scope of Future Work / Bibliography / Authors' Biographies
Author: Sudipta Mukhopadhyay Publisher: Springer Nature ISBN: 3031022513 Category : Technology & Engineering Languages : en Pages : 79
Book Description
Current vision systems are designed to perform in normal weather condition. However, no one can escape from severe weather conditions. Bad weather reduces scene contrast and visibility, which results in degradation in the performance of various computer vision algorithms such as object tracking, segmentation and recognition. Thus, current vision systems must include some mechanisms that enable them to perform up to the mark in bad weather conditions such as rain and fog. Rain causes the spatial and temporal intensity variations in images or video frames. These intensity changes are due to the random distribution and high velocities of the raindrops. Fog causes low contrast and whiteness in the image and leads to a shift in the color. This book has studied rain and fog from the perspective of vision. The book has two main goals: 1) removal of rain from videos captured by a moving and static camera, 2) removal of the fog from images and videos captured by a moving single uncalibrated camera system. The book begins with a literature survey. Pros and cons of the selected prior art algorithms are described, and a general framework for the development of an efficient rain removal algorithm is explored. Temporal and spatiotemporal properties of rain pixels are analyzed and using these properties, two rain removal algorithms for the videos captured by a static camera are developed. For the removal of rain, temporal and spatiotemporal algorithms require fewer numbers of consecutive frames which reduces buffer size and delay. These algorithms do not assume the shape, size and velocity of raindrops which make it robust to different rain conditions (i.e., heavy rain, light rain and moderate rain). In a practical situation, there is no ground truth available for rain video. Thus, no reference quality metric is very useful in measuring the efficacy of the rain removal algorithms. Temporal variance and spatiotemporal variance are presented in this book as no reference quality metrics. An efficient rain removal algorithm using meteorological properties of rain is developed. The relation among the orientation of the raindrops, wind velocity and terminal velocity is established. This relation is used in the estimation of shape-based features of the raindrop. Meteorological property-based features helped to discriminate the rain and non-rain pixels. Most of the prior art algorithms are designed for the videos captured by a static camera. The use of global motion compensation with all rain removal algorithms designed for videos captured by static camera results in better accuracy for videos captured by moving camera. Qualitative and quantitative results confirm that probabilistic temporal, spatiotemporal and meteorological algorithms outperformed other prior art algorithms in terms of the perceptual quality, buffer size, execution delay and system cost. The work presented in this book can find wide application in entertainment industries, transportation, tracking and consumer electronics. Table of Contents: Acknowledgments / Introduction / Analysis of Rain / Dataset and Performance Metrics / Important Rain Detection Algorithms / Probabilistic Approach for Detection and Removal of Rain / Impact of Camera Motion on Detection of Rain / Meteorological Approach for Detection and Removal of Rain from Videos / Conclusion and Scope of Future Work / Bibliography / Authors' Biographies
Author: Sudipta Mukhopadhyay Publisher: Springer Nature ISBN: 3031022521 Category : Technology & Engineering Languages : en Pages : 70
Book Description
Every year lives and properties are lost in road accidents. About one-fourth of these accidents are due to low vision in foggy weather. At present, there is no algorithm that is specifically designed for the removal of fog from videos. Application of a single-image fog removal algorithm over each video frame is a time-consuming and costly affair. It is demonstrated that with the intelligent use of temporal redundancy, fog removal algorithms designed for a single image can be extended to the real-time video application. Results confirm that the presented framework used for the extension of the fog removal algorithms for images to videos can reduce the complexity to a great extent with no loss of perceptual quality. This paves the way for the real-life application of the video fog removal algorithm. In order to remove fog, an efficient fog removal algorithm using anisotropic diffusion is developed. The presented fog removal algorithm uses new dark channel assumption and anisotropic diffusion for the initialization and refinement of the airlight map, respectively. Use of anisotropic diffusion helps to estimate the better airlight map estimation. The said fog removal algorithm requires a single image captured by uncalibrated camera system. The anisotropic diffusion-based fog removal algorithm can be applied in both RGB and HSI color space. This book shows that the use of HSI color space reduces the complexity further. The said fog removal algorithm requires pre- and post-processing steps for the better restoration of the foggy image. These pre- and post-processing steps have either data-driven or constant parameters that avoid the user intervention. Presented fog removal algorithm is independent of the intensity of the fog, thus even in the case of the heavy fog presented algorithm performs well. Qualitative and quantitative results confirm that the presented fog removal algorithm outperformed previous algorithms in terms of perceptual quality, color fidelity and execution time. The work presented in this book can find wide application in entertainment industries, transportation, tracking and consumer electronics.
Author: United States. Congress. House. Permanent Select Committee on Intelligence Publisher: ISBN: Category : Political Science Languages : en Pages : 400
Author: Linda Åkeson McGurk Publisher: Simon and Schuster ISBN: 1501143646 Category : Family & Relationships Languages : en Pages : 304
Book Description
Bringing Up Bébé meets Last Child in the Woods in this “fascinating exploration of the importance of the outdoors to childhood development” (Kirkus Reviews) from a Swedish-American mother who sets out to discover if the nature-centric parenting philosophy of her native Scandinavia holds the key to healthier, happier lives for her American children. Could the Scandinavian philosophy of “There’s no such thing as bad weather, only bad clothes” hold the key to happier, healthier lives for American children? When Swedish-born Linda Åkeson McGurk moved to Indiana, she quickly learned that the nature-centric parenting philosophies of her native Scandinavia were not the norm. In Sweden, children play outdoors year-round, regardless of the weather, and letting babies nap outside in freezing temperatures is common and recommended by physicians. Preschoolers spend their days climbing trees, catching frogs, and learning to compost, and environmental education is a key part of the public-school curriculum. In the US, McGurk found the playgrounds deserted, and preschoolers were getting drilled on academics with little time for free play in nature. And when a swimming outing at a nearby creek ended with a fine from a park officer, McGurk realized that the parenting philosophies of her native country and her adopted homeland were worlds apart. Struggling to decide what was best for her family, McGurk embarked on a six-month journey to Sweden with her two daughters to see how their lives would change in a place where spending time in nature is considered essential to a good childhood. Insightful and lively, There’s No Such Thing as Bad Weather is a fascinating personal narrative that illustrates how Scandinavian culture could hold the key to raising healthy, resilient, and confident children in America.
Author: Maurice Hutt Publisher: Cambridge University Press ISBN: 9780521260718 Category : History Languages : en Pages : 392
Book Description
Chouannerie had its origins in the rifts which opened in Breton society during the French Revolution. Mounting resistance to the Republicans led to a civil war whose bitterness was exacerbated by the involvement of outsiders; for Chouannerie offered a chance of bringing down the Republic. That was the aim of count Joseph de Puisaye; of the British government, yet again at war with the French; and of the Bourbon Princes in exile, who nevertheless feared that the insurgents in Brittany might prove too independent, and that their perfidious allies in Britain be more dangerous than useful. This carefully documented study sifts the legends and unravels the misrepresentations which have been transmitted by royalist Whites and republican Blues. This has entailed the extensive use of a mass of archival material, much of which is being systematically used for the first time.
Author: W M Verhoeven Publisher: Routledge ISBN: 1351223089 Category : Literary Criticism Languages : en Pages : 452
Book Description
A selection of Anti-Jacobin novels reprinted in full with annotations. The set includes works by male and female writers holding a range of political positions within the Anti-Jacobin camp, and represents the French Revolution, American Revolution, Irish Rebellion and political unrest in Scotland.
Author: Bryan T. McNeil Publisher: University of Illinois Press ISBN: 0252093461 Category : Nature Languages : en Pages : 218
Book Description
Drawing on powerful personal testimonies of the hazards of mountaintop removal in southern West Virginia, Combating Mountaintop Removal critically examines the fierce conflicts over this violent and increasingly prevalent form of strip mining. Bryan T. McNeil documents the changing relationships among the coal industry, communities, environment, and economy from the perspective of local grassroots activist organizations and their broader networks. Focusing on Coal River Mountain Watch (CRMW), an organization composed of individuals who have personal ties to the coal industry in the region, the study reveals a turn away from once-strong traditional labor unions and the emergence of community-based activist organizations. By framing social and moral arguments in terms of the environment, these innovative hybrid movements take advantage of environmentalism's higher profile in contemporary politics. In investigating the local effects of globalization and global economics, McNeil tracks the profound reimagining of social and personal ideas such as identity, history, and landscape and considers their roles in organizing an agenda for progressive community activism.
Author: Robin Higham Publisher: Rowman & Littlefield ISBN: 0811770117 Category : History Languages : en Pages : 361
Book Description
Riveting, first-person accounts that put the reader in the cockpit. Dozens of photographs of the planes and the pilots that flew and fought in the skies from Tokyo to Berlin. Find out what it was like to fly some of the all-time classic aircraft of World War II, including the P-51 Mustang, B-17 Flying Fortress, P-47 Thunderbolt, P-38 Lightning, P-40 Kittyhawk, and many more!
Author: Sudipta Mukhopadhyay
Author: Sudipta Mukhopadhyay
Author: Sudipta Mukhopadhyay
Author: United States. Congress. House. Permanent Select Committee on Intelligence
Author: Kit C. Carter
Author: Linda Åkeson McGurk
Author: Maurice Hutt
Author: W M Verhoeven
Author: Bryan T. McNeil
Author: 
Author: Robin Higham