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A baseball player slides on the ground to tag a base. A toy car's wheels rub against the floor and slow the toy car down. Friction is at work all around you. But what exactly is friction? And how does it affect different objects? Read this book to find out! Learn all about matter, energy, and forces in the Exploring Physical Science series—part of the Lightning Bolt BooksTM collection. With high-energy designs, exciting photos, and fun text, Lightning Bolt BooksTM bring nonfiction topics to life!
In recent years an increasing number of scholars have incorporated a focus on emotions in their theories of material culture, transnationalism and globalization, and this book aims to contribute to this field of inquiry. It examines how ‘emotions’ can be theorized, and serves as a useful analytical tool for understanding the interrelated mobility of humans, objects and images. Ethnographically rich, and theoretically grounded case studies offer new perspectives on the relations between migration, material culture and emotions. While some chapters address the many different ways in which migrants and migrant artists express their emotions through objects and images in transnational contexts, other chapters focus on how particular works of art, everyday objects and artefacts can evoke feelings specific to particular migrant groups and communities. Case studies also analyse how artists, academics and policy makers can stimulate positive interaction between migrants and non-migrant communities.
First uniform treatment of moving objects databases, the technology that supports GPS and RFID data analysis.
Emergent Readers Observe The Way Things Move In Different Directions And Speeds.
Moving Objects Databases is the first uniform treatment of moving objects databases, the technology that supports GPS and RFID. It focuses on the modeling and design of data from moving objects — such as people, animals, vehicles, hurricanes, forest fires, oil spills, armies, or other objects — as well as the storage, retrieval, and querying of that very voluminous data. It includes homework assignments at the end of each chapter, exercises throughout the text that students can complete as they read, and a solutions manual in the back of the book. This book is intended for graduate or advanced undergraduate students. It is also recommended for computer scientists and database systems engineers and programmers in government, industry and academia; professionals from other disciplines, e.g., geography, geology, soil science, hydrology, urban and regional planning, mobile computing, bioterrorism and homeland security, etc. - Focuses on the modeling and design of data from moving objects--such as people, animals, vehicles, hurricanes, forest fires, oil spills, armies, or other objects--as well as the storage, retrieval, and querying of that very voluminous data. - Demonstrates through many practical examples and illustrations how new concepts and techniques are used to integrate time and space in database applications. - Provides exercises and solutions in each chapter to enable the reader to explore recent research results in practice.
Applications, 2nd Edition focuses on moving object management, from the location management perspective to determining how constantly changing locations affect the traditional database and data mining technology. The book specifically describes the topics of moving objects modeling and location tracking, indexing and querying, clustering, location uncertainty, traffic-aware navigation and privacy issues, as well as the application to intelligent transportation systems. Through the book, the readers will be made familiar with the cutting-edge technologies in moving object management that can be effectively applied in LBS and transportation contexts. The second edition of this book significantly expands the coverage of the latest research on location privacy, traffic-aware navigation and uncertainty. The book has also been reorganized, with nearly all chapters rewritten, and several new chapters have been added to address the latest topics on moving objects management. Xiaofeng Meng is a professor at the School of Information, Renmin University of China; Zhiming Ding is a professor at the Institute of Software, Chinese Academy of Sciences (ISCAS); Jiajie Xu is an assistant professor at the ISCAS.
Our minds are severely limited in how much information they can extensively process, in spite of being massively parallel at the visual end. When people attempt to track moving objects, only a limited number can be tracked, which varies with display parameters. Associated experiments indicate that spatial selection and updating has higher capacity than selection and updating of features such as color and shape, and is mediated by processes specific to each cerebral hemisphere, such that each hemifield has its own spatial tracking limit. These spatial selection processes act as a bottleneck that gate subsequent processing. To improve our understanding of this bottleneck, future work should strive to avoid contamination of tracking tasks by high-level cognition. While we are far from fully understanding how attention keeps up with multiple moving objects, what we already know illuminates the architecture of visual processing and offers promising directions for new discoveries.
Object tracking could be a terribly difficult task within the presence of variability illumination condition, background motion, complicated object form, partial and full object occlusions. The main intention of an object trailer is to make the path of an object over time by characteristic its position in all frames of the video. This book is intended to educate the researchers in the field of tracking of moving object(s) in a video sequence. This book provides a path for the researchers to identify the works done by others in the same field and thereby to figure out the gap in the current knowledge. This book is organized into three Modules. Module 1 talks about the introduction of object detection and tracking. Module 2 discusses about the various studies of object tracking and motion detection. The views of the various authors about this hot research topic are discussed in this Module and Module 3 gives the conclusion of the entire research review.Object tracking could be a terribly difficult task within the presence of variability illumination condition, background motion, complicated object form, partial and full object occlusions. The main intention of an object trailer is to make the path of an object over time by characteristic its position in all frames of the video. This book is intended to educate the researchers in the field of tracking of moving object(s) in a video sequence. This book provides a path for the researchers to identify the works done by others in the same field and thereby to figure out the gap in the current knowledge. This book is organized into three Modules. Module 1 talks about the introduction of object detection and tracking. Module 2 discusses about the various studies of object tracking and motion detection. The views of the various authors about this hot research topic are discussed in this Module and Module 3 gives the conclusion of the entire research review.
This book shows how machine learning can detect moving objects in a digital video stream. The authors present different background subtraction approaches, foreground segmentation, and object tracking approaches to accomplish this. They also propose an algorithm that considers a multimodal background subtraction approach that can handle a dynamic background and different constraints. The authors show how the proposed algorithm is able to detect and track 2D & 3D objects in monocular sequences for both indoor and outdoor surveillance environments and at the same time, also able to work satisfactorily in a dynamic background and with challenging constraints. In addition, the shows how the proposed algorithm makes use of parameter optimization and adaptive threshold techniques as intrinsic improvements of the Gaussian Mixture Model. The presented system in the book is also able to handle partial occlusion during object detection and tracking. All the presented work and evaluations were carried out in offline processing with the computation done by a single laptop computer with MATLAB serving as software environment.
There has been growing acceptance of the insight that the methods so far used in the testing of visual functions have been inadequate when it comes to specific problems and should, therefore, be supplemented with more specialised methods for dynamic testing. As long as two decades ago, large-scale mass screening produced evidence to the effect that visual acuity, so far exclusively determined by means of still samples, was not identical with visual acuity in the ocular pursuit of moving targets (dynamic visual acuity). In other words, vision testing can, at present, provide little informa tion on an individual's capability of identification, appreciation, and judge ment of mobile objects. Spatial, three-dimensional perception of moving targets, hereafter re ferred to as dynamic stereoacuity, is the particular subject on which findings are reported in this article. Findings of that kind are of considerable relevance to everyday life, since many of the phenomena that have to be three-dimensionally perceived in private life and in occupational practice, are in movement. So far, dynamic stereoacuity has never been systematical ly studied and is still a blank space on the maps of ophthalmology and physiology. This is equally true for dynamic stereoscopy in binocular vision as well as for perception on the basis of movement parallax, a phenomenon of differentiated contour displacement within a given field of vision which is also available to the monocular individual under conditions of head or body or object movement within the visual space.