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Visual Scene Understanding from Mobile Platforms
79,90 € *
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Visual Scene Understanding from Mobile Platforms ab 79.9 € als Taschenbuch: A Monocular Approach. Aus dem Bereich: Bücher, English, International, Gebundene Ausgaben,

Anbieter: hugendubel
Stand: 28.03.2020
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Visual Scene Understanding from Mobile Platforms
79,90 € *
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Visual Scene Understanding from Mobile Platforms ab 79.9 EURO A Monocular Approach

Anbieter: ebook.de
Stand: 28.03.2020
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Intelligent Vehicles for Increasing Driving Safety
49,00 € *
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Developing on-board driver assistance systems (DAS) requires understanding of various events involving the motions of the vehicles in the vicinity of the host vehicle. Determining the position of other vehicles on the road is a key information to help driver assistance systems. Thus, robust and reliable vehicle detection and tracking are the basic steps in these systems. Since monocular vision based systems are particularly interesting for the advantage of reducing costs and maintenance and for the high fidelity information they give about the driving environment, the problem can be addressed by applying computer vision techniques. This work has mainly been focused on detecting and tracking vehicles viewed from inside a vehicle the camera mounted in daylight conditions. The approach presented in the book uses vehicle shadow clues and vehicle edge information to obtain cost effective and fast estimation. After extracting vehicles, the algorithm effectively track them using a Kalman filter based tracking algorithm. Several sequences from real traffic situations have been tested, obtaining highly accurate multiple vehicle detections.

Anbieter: Dodax
Stand: 28.03.2020
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Distributed Consensus with Visual Perception in...
105,61 € *
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This monograph introduces novel responses to the different problems that arise when multiple robots need to execute a task in cooperation, each robot in the team having a monocular camera as its primary input sensor. Its central proposition is that a consistent perception of the world is crucial for the good development of any multi-robot application. The text focuses on the high-level problem of cooperative perception by a multi-robot system: the idea that, depending on what each robot sees and its current situation, it will need to communicate these things to its fellows whenever possible to share what it has found and keep updated by them in its turn. However, in any realistic scenario, distributed solutions to this problem are not trivial and need to be addressed from as many angles as possible.Distributed Consensus with Visual Perception in Multi-Robot Systems covers a variety of related topics such as:- distributed consensus algorithms,- data association and robustness problems,- convergence speed, and- cooperative mapping.The book first puts forward algorithmic solutions to these problems and then supports them with empirical validations working with real images. It provides the reader with a deeper understanding of the problems associated to the perception of the world by a team of cooperating robots with onboard cameras.Academic researchers and graduate students working with multi-robot systems, or investigating problems of distributed control or computer vision and cooperative perception will find this book of material assistance with their studies.

Anbieter: Dodax
Stand: 28.03.2020
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Visual Scene Understanding from Mobile Platforms
79,90 € *
ggf. zzgl. Versand

Visual scene understanding is one of the ultimate goals in computer vision and has been in the field's focus since its early beginning. Despite continuous effort over several years, applications such as autonomous driving and robotics are still subject to active research. In recent years, improved probabilistic methods became a popular tool for state-of-the-art computer vision algorithms. Additionally, high resolution digital imaging devices and increased computational power became available. By leveraging these methodical and technical advancements current methods obtain encouraging results in well defined environments for robust object class detection, tracking and pixel-wise semantic scene labeling and give rise to renewed hope for further progress in scene understanding for real environments. This book improves state-of-the-art scene understanding with monocular cameras and aims for applications on mobile platforms such as service robots or driver assistance for automotive safety. It develops and improves approaches for object class detection and semantic scene labeling and integrates those into models for global scene reasoning which exploit context at different levels.

Anbieter: Dodax
Stand: 28.03.2020
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Visual Scene Understanding from Mobile Platforms
130,00 CHF *
ggf. zzgl. Versand

Visual scene understanding is one of the ultimate goals in computer vision and has been in the field's focus since its early beginning. Despite continuous effort over several years, applications such as autonomous driving and robotics are still subject to active research. In recent years, improved probabilistic methods became a popular tool for state-of-the-art computer vision algorithms. Additionally, high resolution digital imaging devices and increased computational power became available. By leveraging these methodical and technical advancements current methods obtain encouraging results in well defined environments for robust object class detection, tracking and pixel-wise semantic scene labeling and give rise to renewed hope for further progress in scene understanding for real environments. This book improves state-of-the-art scene understanding with monocular cameras and aims for applications on mobile platforms such as service robots or driver assistance for automotive safety. It develops and improves approaches for object class detection and semantic scene labeling and integrates those into models for global scene reasoning which exploit context at different levels.

Anbieter: Orell Fuessli CH
Stand: 28.03.2020
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New Development in Robot Vision
106,00 CHF *
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The field of robotic vision has advanced dramatically recently with the development of new range sensors. Tremendous progress has been made resulting in significant impact on areas such as robotic navigation, scene/environment understanding, and visual learning. This edited book provides a solid and diversified reference source for some of the most recent important advancements in the field of robotic vision. The book starts with articles that describe new techniques to understand scenes from 2D/3D data such as estimation of planar structures, recognition of multiple objects in the scene using different kinds of features as well as their spatial and semantic relationships, generation of 3D object models, approach to recognize partially occluded objects, etc. Novel techniques are introduced to improve 3D perception accuracy with other sensors such as a gyroscope, positioning accuracy with a visual servoing based alignment strategy for microassembly, and increasing object recognition reliability using related manipulation motion models. For autonomous robot navigation, different vision-based localization and tracking strategies and algorithms are discussed. New approaches using probabilistic analysis for robot navigation, online learning of vision-based robot control, and 3D motion estimation via intensity differences from a monocular camera are described. This collection will be beneficial to graduate students, researchers, and professionals working in the area of robotic vision.  

Anbieter: Orell Fuessli CH
Stand: 28.03.2020
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Human Motion
125,90 CHF *
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The study of human motion dates back more than 2000 years. With the event of information technology, new areas have been added to this field. Research using computer vision and computer graphics contributes to a transformation of biomechanics into a discipline that now applies computing technology throughout; on the other hand, computer vision and computer graphics also benefit from defining goals aimed at solving problems in biomechanics. Besides interactions, all three areas also developed their own inherent research dynamics towards studying human motion. Researchers from all three of these areas have contributed to this book to promote the establishment of human motion research as a multi-facetted discipline and to improve the exchange of ideas and concepts between these three areas. Some chapters review the state of the art whilst others report on leading edge research results, with applications in medicine, sport science, cinematography and robotics. TOC:From the contents 1 Understanding Human Motion: A Historic Review, R. Klette, C. Tee.- Part I 2D tracking. 2 The Role of Manifold Learning in Human Motion Analysis, A. Elgammal, Chan-Su Lee. 3 Recognition of Action as a Bayesian Parameter Estimation Problem over Time, V. Kruger. 4 The William Harvey Code: Mathematical Analysis of Optical Flow Computation for Cardiac Motion, Y. Kameda, A. Imiya. 5 Detection and Tracking of Humans in Single View Sequences Using 2D Articulated Model, F. Kort, V. Hlavd!.- Part II Learning. 6 Combining Discrete and Continuous 3D Trackers, C. Tsechpenakis, D. Metaxas, C. Neidle. 7 Graphical Models for Human Motion Modeling, Kooksang Moon, V. Paviovic. 8 3D Human Motion Analysis in Monocular Video Techniques and Challenges, C. Sminchisescu. 9 Spatially and Temporally Segmenting Movement to Recognize Actions, R. Green. 10 Topologically Constrained Isometric Embedding, G. Rosman, A.M. Bronstein, M.M. Bronstein, R. Kimmel.- Part III 2D-3D tracking. 11 Contours, Optic Flow, and Prior Knowledge: Cues for Capturing 3D Human Motion in Videos, T. Brox, B. Rosenhahn, D. Cremers.

Anbieter: Orell Fuessli CH
Stand: 28.03.2020
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New Development in Robot Vision
87,99 € *
ggf. zzgl. Versand

The field of robotic vision has advanced dramatically recently with the development of new range sensors. Tremendous progress has been made resulting in significant impact on areas such as robotic navigation, scene/environment understanding, and visual learning. This edited book provides a solid and diversified reference source for some of the most recent important advancements in the field of robotic vision. The book starts with articles that describe new techniques to understand scenes from 2D/3D data such as estimation of planar structures, recognition of multiple objects in the scene using different kinds of features as well as their spatial and semantic relationships, generation of 3D object models, approach to recognize partially occluded objects, etc. Novel techniques are introduced to improve 3D perception accuracy with other sensors such as a gyroscope, positioning accuracy with a visual servoing based alignment strategy for microassembly, and increasing object recognition reliability using related manipulation motion models. For autonomous robot navigation, different vision-based localization and tracking strategies and algorithms are discussed. New approaches using probabilistic analysis for robot navigation, online learning of vision-based robot control, and 3D motion estimation via intensity differences from a monocular camera are described. This collection will be beneficial to graduate students, researchers, and professionals working in the area of robotic vision.  

Anbieter: Thalia AT
Stand: 28.03.2020
Zum Angebot