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The deployment of surveillance systems has captured the interest of both the research and the industrial worlds in recent years. The aim of this effort is to increase security and safety in several application domains such as national security, home and bank safety, traffic monitoring and navigation, tourism, and military applications. The video surveillance systems currently in use share one feature: A human operator must monitor them at all times, thus limiting the number of cameras and the area under surveillance and increasing cost. A more advantageous system would have continuous active warning capabilities, able to alert security officials during or even before the happening of a crime. Existing automated surveillance systems can be classified into categories according to: The environment they are primarily designed to observe; The number of sensors that the automated surveillance system can handle; The mobility of sensor. The primary concern of this book is surveillance in an outdoor urban setting, where it is not possible for a single camera to observe the complete area of interest. Multiple cameras are required to observe such large environments. This book discusses and proposes techniques for development of an automated multi-camera surveillance system for outdoor environments, while identifying the important issues that a system needs to cope with in realistic surveillance scenarios. The goal of the research presented in this book is to build systems that can deal effectively with these realistic surveillance needs. .

Computer Science. --- Computer Imaging, Vision, Pattern Recognition and Graphics. --- Image Processing and Computer Vision. --- Pattern Recognition. --- Artificial Intelligence (incl. Robotics). --- Computer Applications. --- Computer science. --- Artificial intelligence. --- Computer vision. --- Optical pattern recognition. --- Informatique --- Intelligence artificielle --- Vision par ordinateur --- Reconnaissance optique des formes (Informatique) --- Electronic surveillance -- Automation. --- Electronic surveillance -- Mathematical models. --- Electronic surveillance -- Technological innovations. --- Electrical Engineering --- Electrical & Computer Engineering --- Engineering & Applied Sciences --- Electronic surveillance --- Automation. --- Mathematical models. --- Technological innovations. --- Electronics in surveillance --- SIGINT (Electronic surveillance) --- Signals intelligence --- Surveillance, Electronic --- Computer graphics. --- Image processing. --- Pattern recognition. --- Application software. --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer software --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception --- Pictorial data processing --- Picture processing --- Processing, Image --- Imaging systems --- Optical data processing --- Automatic drafting --- Graphic data processing --- Graphics, Computer --- Computer art --- Graphic arts --- Electronic data processing --- Engineering graphics --- Image processing --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Informatics --- Science --- Digital techniques --- Remote sensing --- Artificial Intelligence. --- Machine vision --- Vision, Computer --- Artificial intelligence --- Pattern recognition systems --- Pattern perception --- Perceptrons --- Visual discrimination --- Optical data processing. --- Optical computing --- Visual data processing --- Integrated optics --- Photonics --- Computers --- Optical equipment

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Over the last several years there has been a growing interest in developing computational methodologies for modeling and analyzing movements and behaviors of ‘crowds' of people. This interest spans several scientific areas that includes Computer Vision, Computer Graphics, and Pedestrian Evacuation Dynamics. Despite the fact that these different scientific fields are trying to model the same physical entity (i.e. a crowd of people), research ideas have evolved independently. As a result each discipline has developed techniques and perspectives that are characteristically their own. The goal of this book is to provide the readers a comprehensive map towards the common goal of better analyzing and synthesizing the pedestrian movement in dense, heterogeneous crowds. The book is organized into different parts that consolidate various aspects of research towards this common goal, namely the modeling, simulation, and visual analysis of crowds. Through this book, readers will see the common ideas and vision as well as the different challenges and techniques, that will stimulate novel approaches to fully grasping “crowds.".

Social psychology --- Animal ethology and ecology. Sociobiology --- Computer science --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- computervisie --- gedrag (dieren) --- sociale psychologie --- vormgeving --- computers --- grafische vormgeving --- mineralen (chemie) --- simulaties --- mijnbouw --- computerkunde

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This timely and authoritative volume explores the bidirectional relationship between images and locations. The text presents a comprehensive review of the state of the art in large-scale visual geo-localization, and discusses the emerging trends in this area. Valuable insights are supplied by a pre-eminent selection of experts in the field, into a varied range of real-world applications of geo-localization. Topics and features: Discusses the latest methods to exploit internet-scale image databases for devising geographically rich features and geo-localizing query images at different scales Investigates geo-localization techniques that are built upon high-level and semantic cues Describes methods that perform precise localization by geometrically aligning the query image against a 3D model Reviews techniques that accomplish image understanding assisted by the geo-location, as well as several approaches for geo-localization under practical, real-world settings Presents contributions from the leading and most active researchers in the field from both academia and industry This invaluable text/reference is a must-read for all researchers interested in developing automatic methods for image geo-localization, whether for commercial, academic, or military domains. Professionals involved in computer vision, computer graphics, photogrammetry, computational optimization, geographic information systems, and other related disciplines, will also benefit from the detailed coverage of this emerging field.

Mathematical statistics --- Geodesy. Cartography --- Computer science --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- Geography --- computervisie --- patroonherkenning --- DIP (documentimage processing) --- beeldverwerking --- geodesie --- factoranalyse --- GIS (geografisch informatiesysteem) --- computers --- KI (kunstmatige intelligentie) --- computerkunde --- robots