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This book constitutes the refereed proceedings of the First International Conference on Computer Vision Systems, ICVS '99, held in Las Palmas, Gran Canaria, Spain, in January 1999. The 32 revised full papers presented were selected from a total of 65 submissions. The book is divided in sections on vision for navigation, computer vision systems, visual tracking, knowledge-based methods and systems, architectural aspects, active vision, 3D modelling, and object recognition.
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• Aerial Vehicles progress On Pico Air Vehicles.- Perception and Mapping.- Planning.- Systems and Integration.- Control.
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This volume presents a collection of papers presented at the 15th International Symposium of Robotic Research (ISRR). ISRR is the biennial meeting of the International Foundation of Robotic Research (IFRR) and its 15th edition took place in Flagstaff, Arizona on December 9 to December 12, 2011. As for the previous symposia, ISRR 2011 followed up on the successful concept of a mixture of invited contributions and open submissions. Therefore approximately half of the 37 contributions were invited contributions from outstanding researchers selected by the IFRR officers and the program committee, and the other half were chosen among the open submissions after peer review. This selection process resulted in a truly excellent technical program which featured some of the very best of robotic research. The program was organized around oral presentation in a single-track format and included for the first time a small number of interactive presentations. The symposium contributions contained in this volume report on a variety of new robotics research results covering a broad spectrum including perception, manipulation, grasping, vehicles and design, navigation, control and integration, estimation and SLAM. .
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During the last decade of the twentieth century, computer vision made considerable progress towards the consolidation of its fundaments, in particular regarding the treatment of geometry for the evaluation of stereo image pairs and of multi-view image recordings. Scientists thus began to look at basic computer vision solutions - irrespective of the well-perceived need to perfection these further - as components which should be explored in a larger context. This volume is a post-event proceedings volume and contains selected papers based on the presentations given, and the lively discussions that ensued, during a seminar held in Dagstuhl Castle, Germany, in October 2003. Co-sponsored by ECVision, the cognitive vision network of excellence, it was organized to further strengthen cooperation between research groups from different countries, and scientists active in related areas were invited from around the world. The 18 thoroughly revised papers presented are organized in topical sections on foundations of cognitive vision systems, recognition and categorization, learning and adaptation, representation and inference, control and systems integration, and conclusions.
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• Automated performance evaluation of range image segmentation algorithms
• training/test data partitioning for empirical performance evaluation
• analyzing PCA-based face recognition algorithms -eigenvector selection and distance measures
• design of a visual system for detecting natural events by the use of an independent visual estimate - a human fall detector
• task-based evaluation of image filtering within a class of geometry-driven-diffusion algorithms
• a comparative analysis of cross-correlation matching algorithms using a pyramidal resolution approach
• performance evaluation of medical image processing algorithms.
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This book provides comprehensive coverage of methods for the empirical evaluation of computer vision techniques. The practical use of computer vision requires empirical evaluation to ensure that the overall system has a guaranteed performance.The book contains articles that cover the design of experiments for evaluation, range image segmentation, the evaluation of face recognition and diffusion methods, image matching using correlation methods, and the performance of medical image processing algorithms.
(source: Nielsen Book Data)

• pt. 1. Foundations of cognitive vision systems
• pt. 2. Recognition and categorization
• pt. 3. Learning and adaptation
• pt. 4. Representation and inference
• pt. 5. Control and systems integration
• pt. 6. Conclusions
• pt. 7. References, subject index, author index.

This book constitutes the thorougly refereed post-proceedings of an international workshop on sensor based Intelligent Robot held in Dagstuhl Castle, Germany in September/October 1998. The 17 revised full papers presented were carefully reviewed for inclusion in the book. Among the topics addressed are robot navigation, motion planning, autonomous mobile robots, wheelchair robots, interactive robots, car navigation systems, visual tracking, sensor based navigation, distributed algorithms, computer vision, intelligent agents, robot control, and computational geometry.
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• Machine generated contents note: Nursing-Task Recognition Using Accelerometers and RFID / Henrik Christensen / Emil Petriu / Frans Groen
• Recognizing Nonverbal Affective Behavior in Humanoid Robots / Lounell Bahoy Gueta / Jun Ota / Yasuko Kitajima / Miwa Hirata / Jukai Maeda / Noriaki Kuwahara / Masako Kanai-Pak / Yoshihiro Takebe
• Feasibility of Interactive Localization and Navigation of People with Visual Impairments / Ronald C. Arkin / Lilia Moshkina / Sunghyun Park
• Sequentially Greedy Unsupervised Learning of Gaussian Mixture Models by Means of a Binary Tree Structure / Navid Fallah / Kostas E. Bekris / Eelke Folmer / Ilias Apostolopoulos
• On Ambiguity in Robot Learning from Demonstration / Nicola Greggio / José Santos-Victor / Alexandre Bernardino
• Recognition and Motion Primitives for Autonomous Clothes Unfolding of Humanoid Robot / Thomas Hellström / Suna Bensch -- ^ 3D Sensing System for Tracked Vehicle Robot Using Movable Laser Range Finder / Youhei Kakiuchi / Kei Okada / Masayuki Inaba / Hiroko Kobori
• Simulating Robotic Auditory Environments / Toyomi Fujita / Yuya Kondo
• Development of a Person Following Robot and Its Experimental Evaluation / Eric Martinson
• Evaluating Pose Estimation Methods for Stereo Visual Odometry on Robots / Jun Miura / Junji Satake / Masaya Chiba / Yuki Ishikawa / Kenta Kitajima / Hiroaki Masuzawa
• Object Search on a Mobile Robot Using Relational Spatial Information / Hatem Alismail / Brett Browning / M. Bernardine Dias
• Safe Navigation on a Mobile Robot Using Local and Temporal Visual Cues / Alper Aydemir / Kristoffer Sjöö / Patric Jensfelt
• Representing Spatial Knowledge in Mobile Cognitive Systems / Xiang Li / Mohan Sridharan
• Landmark Rating and Selection Considering the Observability Regions / Andrzej Pronobis / Kristoffer Sjö

This volume contains the proceedings of the eleventh International Conference on Intelligent Autonomous Systems (IAS-11) at the University of Ottawa in Canada. As ever, the purpose of the IAS conference is to bring together leading international researchers with an interest in all aspects of the autonomy and adaptivity of artificial systems. This year the conference reflects in particular a current trend: the symbiotic interaction of humans with intelligent systems. Of the 35 papers submitted for this yea's conference, 25 have been accepted for presentation. These papers cover a wide spectrum of research in autonomous intelligent systems including interactive systems, learning, perception, localization and mapping, navigation planning and distributed systms. This proceedings includes all the accepted papers and reflects the wide variety of topics of current concern to all those involved in the use, research and development of intelligent autonomous systems.

• Path Optimization for Nonholonomic Systems: Application to Reactive Obstacle Avoidance and Path Planning.- From Dynamic Programming to RRTs: Algorithmic Design of Feasible Trajectories.- Control of Nonprehensile Manipulation.- Motion Planning and Control Problems for Underactuated Robots.- Motion Description Languages for Multi-Modal Control in Robotics.- Polynomial Design of Dynamics-based Information Processing System.- Actuation Methods For Human-Centered Robotics and Associated Control Challenges.- Control of a Flexible Manipulator with Noncollocated Feedback: Time Domain Passivity Approach.- Cartesian Compliant Control Strategies for Light-Weight, Flexible Joint Robots.- Toward the Control of Self-Assembling Systems.- Towards Abstraction and Control for Large Groups of Robots.- Omnidirectional Sensing for Robot Control.- A Passivity Approach to Vision-based Dynamic Control of Robots with Nonlinear Observer.- Visual Servoing along Epipoles.- Toward Geometric Visual Servoing.- Vision-Based Online Trajectory Generation and Its Application to Catching.- Stability Analysis of Invariant Visual Servoing and Robustness to Parametric Uncertainties.
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This book aims at reporting some of the most challenging open problems of control theoretic nature raised by robotics applications. Topics covered in the book represent many of the most innovative areas in contemporary robotics research, with special emphasis on vision, sensory-feedback control, human-centered robotics, manipulation, planning, flexible and cooperative robots, or assembly systems.The basic idea behind the book is to present the variety of innovative applications and related technology demands that arise from robotics and automation to a larger community, including in particular, researchers in automatic control, applied mathematics, mechanical engineering, or computer science. The book is intended for an audience of researchers and graduate students in those disciplines and in robotics. It is the outcome of a workshop held in Las Vegas, Nevada on December 14, 2002 jointly sponsored by the IEEE Control Systems Society and the IEEE Robotics and Automation Society.
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• The Intermediate Symbolic Representation (A Hanson & B Draper)
• Object Oriented Communication in Image Processing Systems (H Winroth)
• SAVA: An Environment for Experiments in Integration and Control (J L Crowley & C Discours)
• The Vision Programmers Workbench (N O S Kirkeby & H I Christensen)
• The Module Network Toolkit (L Olsson & J-O Eklundh)
• A System for Integration of Heterogeneous Processes Through Use of Distributed Shared Memory (J P Jones & P L Butler)
• The Design of a Second Generation Visualization Environment (G J Edwards)
• Evaluation of AVS for Machine Vision (J Wiklund et al). (part contents).
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In order to appreciate new methods developed in the area of machine vision it is necessary to have facilities which allow experimental verification of such methods. Experimental research is typically a very expensive task in terms of manpower, and, consequently, it is desirable to adopt standard facilities / methods which allow more efficient experimental investigations. In this volume a range of different experimental environments which facilitate construction and integration of machine vision systems is described. The environments presented cover areas such as robotics, research in individual machine vision methods, system integration, knowledge representation, and distributed computing. The set of environments covered include commercial systems, public domain software and laboratory prototype, showing the diversity of the problem of experimental research in machine vision and providing the reader with an overview of the area.
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• An Ontology of Robotics Science.- A Multi-Agent System Architecture for Modular Robotic Mobility Aids.- How to Construct Dense Objects with Self-Reconfigurable Robots.- In Situ Autonomous Biomechanical Characterization.- Incremental Learning of Task Sequences with Information- Theoretic Metrics.- Representation, Recognition and Generation of Actions in the context of Imitation Learning.- Reduction of Learning Time for Robots Using Automatic State Abstraction.- Efficient Failure Detection for Mobile Robots Using Mixed-Abstraction Particle Filters.- Optimization and Fail--Safety Analysis of Antagonistic Actuation for pHRI.- Bilateral Control of Different Order Teleoperators.- Navigation and planning in an unknown environment using vision and a cognitive map.- Exploiting Distinguishable Image Features in Robotic Mapping and Localization.- Image-Based Visual Servoing for Mobile Robots with Catadioptric Camera.- Multi-knowledge Approach for Mobile Robot Identification of a Changing Environment.- Robust Monte-Carlo Localization using Adaptive Likelihood Models.- Metric Localization with Scale-Invariant Visual Features using a Single Perspective Camera.
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This unique reference represents a cross-section of forefront robotics research, ranging from robotics and systems to learning, autonomy and failure detection, from vision and navigation to localization and mapping, which are based on the papers presented at the 1st European Robotics Symposium (EUROS-06) held in Palermo, Italy from 16-18 March, 2006. The European Robotics Symposium (EUROS) is a brand-new International scientific event promoted by EURON, the European Robotics Network. Since its inception in 2000, EURON links most of the European robotics research teams and today (2006) involves more than 165 universities and companies across all of its member states. The EUROS meeting will be held in Europe every other year, but international participation at all levels is strongly encouraged making it a meeting place for high-quality presentation of interesting international research on robotics.
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• Cognitive Systems Introduction.- Component Science.- Architecture and Representations.- The Sensorimotor Approach in CoSy: The Example of Dimensionality Reduction.- Categorical Perception.- Semantic Modelling of Space.- Planning and Failure Detection.- Multi-modal Learning.- Situated Dialogue Processing for Human-Robot Interaction.- Integration and Systems.- The PlayMate System.- The Explorer System.- Lessons Learnt from Scenario-Based Integration.- Summary and Outlook.- Cross-Disciplinary Reflections: Philosophical Robotics.- Lessons and Outlook.
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Design of cognitive systems for assistance to people poses a major challenge to the fields of robotics and artificial intelligence. The Cognitive Systems for Cognitive Assistance (CoSy) project was organized to address the issues of i) theoretical progress on design of cognitive systems ii) methods for implementation of systems and iii) empirical studies to further understand the use and interaction with such systems. To study, design and deploy cognitive systems there is a need to considers aspects of systems design, embodiment, perception, planning and error recovery, spatial insertion, knowledge acquisition and machine learning, dialog design and human robot interaction and systems integration. The CoSy project addressed all of these aspects over a period of four years and across two different domains of application - exploration of space and task / knowledge acquisition for manipulation. The present volume documents the results of the CoSy project. The CoSy project was funded by the European Commission as part of the Cognitive Systems Program within the 6th Framework Program.
(source: Nielsen Book Data)

There is growing interest in the use of active control of image formation to simplify and accelerate scene understanding. AI research on machine vision emphasizes the use of declarative knowledge and explicit representation of goals to control the perceptual process. This book describes the first implemented vision system anywhere to integrate robotic camera control, ocular reflexes, reactive fixation, real-time image processing, image tracking, perceptual grouping, active 3D modeling, and object recognition. The book presents the results of the ESPRIT project BG 3038/7108 "Vision as Process" initiated in 1989. The presentation is organized as five parts which reflect the components developed for the resulting experimental test-bed system.
(source: Nielsen Book Data)

• Attention Systems.- Thermal Image Super-Resolution Using Second-Order Channel Attention with Varying Receptive Fields.- MARL: Multimodal Attentional Representation Learning for Disease Prediction.- Object Localization with Attribute Preference based on Top-Down Attention.- See the silence: improving visual-only voice activity detection by optical flow and RGB fusion.- Classification and Detection.- Score to Learn: a Comparative Analysis of Scoring Functions for Active Learning in Robotics.- Enhancing the performance of image classification through features automatically learned from depth-maps.- Object Detection on TPU Accelerated Embedded Devices.- Tackling Inter-Class Similarity and Intra-Class Variance for Microscopic Image-based Classification.- Semantic Interpretation.- Measuring the Sim2Real gap in 3D Object classification for different 3D data representation.- Spatially-Constrained Semantic Segmentation with Topological aps and Visual mbeddings.- Knowledge-enabled generation of semantically annotated image sequences of manipulation activities from VR demonstrations.- Make It Easier: An Empirical Simplification of a Deep 3D Segmentation Network for Human Body Parts.- Video and Motion Analysis.- Video Popularity Prediction through Fusing Early Viewership with Video Content.- Action Prediction during Human-Object Interaction based on DTW and Early Fusion of Human and Object Representations.- GridTrack: Detection and Tracking of Multiple Objects in Dynamic Occupancy Grids.- An Efficient Video Desnowing and Deraining Method with a Novel Variant Dataset.- Computer Vision Systems in Agriculture.- Robust Counting of Soft Fruit through Occlusions with Re-identification.- Non-destructive Soft Fruit Mass and Volume Estimation for Phenotyping in Horticulture.- Learning Image-based Contaminant Detection in Wool Fleece from Noisy Annotations.- Active Learning for Crop-Weed Discrimination by Image Classification from Convolutional Neural Network's Feature Pyramid Levels.
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• Attention Systems
• Thermal Image Super-Resolution Using Second-Order Channel Attention with Varying Receptive Fields
• MARL: Multimodal Attentional Representation Learning for Disease Prediction
• Object Localization with Attribute Preference based on Top-Down Attention
• See the silence: improving visual-only voice activity detection by optical flow and RGB fusion
• Classification and Detection
• Score to Learn: a Comparative Analysis of Scoring Functions for Active Learning in Robotics
• Enhancing the performance of image classification through features automatically learned from depth-maps
• Object Detection on TPU Accelerated Embedded Devices
• Tackling Inter-Class Similarity and Intra-Class Variance for Microscopic Image-based Classification
• Semantic Interpretation
• Measuring the Sim2Real gap in 3D Object classification for different 3D data representation
• Spatially-Constrained Semantic Segmentation with Topological Μaps and Visual Εmbeddings
• Knowledge-enabled generation of semantically annotated image sequences of manipulation activities from VR demonstrations
• Make It Easier: An Empirical Simplification of a Deep 3D Segmentation Network for Human Body Parts
• Video and Motion Analysis
• Video Popularity Prediction through Fusing Early Viewership with Video Content
• Action Prediction during Human-Object Interaction based on DTW and Early Fusion of Human and Object Representations
• GridTrack: Detection and Tracking of Multiple Objects in Dynamic Occupancy Grids
• An Efficient Video Desnowing and Deraining Method with a Novel Variant Dataset
• Computer Vision Systems in Agriculture
• Robust Counting of Soft Fruit through Occlusions with Re-identification
• Non-destructive Soft Fruit Mass and Volume Estimation for Phenotyping in Horticulture
• Learning Image-based Contaminant Detection in Wool Fleece from Noisy Annotations
• Active Learning for Crop-Weed Discrimination by Image Classification from Convolutional Neural Network's Feature Pyramid Levels.

This book constitutes the refereed proceedings of the 13th International Conference on Computer Vision Systems, ICVS 2021, held in September 2021. Due to COVID-19 pandemic the conference was held virtually. The 20 papers presented were carefully reviewed and selected from 29 submissions. cover a broad spectrum of issues falling under the wider scope of computer vision in real-world applications, including among others, vision systems for robotics, autonomous vehicles, agriculture and medicine. In this volume, the papers are organized into the sections: attention systems; classification and detection; semantic interpretation; video and motion analysis; computer vision systems in agriculture.
(source: Nielsen Book Data)