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Cognitive vision systems : sampling the spectrum of approaches / / Henrik I. Christensen, Hans-Hellmut Nagel (eds.)
Cognitive vision systems : sampling the spectrum of approaches / / Henrik I. Christensen, Hans-Hellmut Nagel (eds.)
Edizione [1st ed. 2006.]
Pubbl/distr/stampa Berlin ; ; New York, : Springer, c2006
Descrizione fisica 1 online resource (VIII, 372 p.)
Disciplina 006.3/7
Altri autori (Persone) NagelH. H
ChristensenH. I <1962-> (Henrik I.)
Collana LNCS sublibrary. SL 6, Image processing, computer vision, pattern recognition, and graphics
Lecture notes in computer science,State-of-the-art survey
Soggetto topico Computer vision
Cognitive science
ISBN 3-540-33972-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 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.
Record Nr. UNINA-9910483467803321
Berlin ; ; New York, : Springer, c2006
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Computer Vision Systems : 14th International Conference, ICVS 2023, Vienna, Austria, September 27-29, 2023, Proceedings
Computer Vision Systems : 14th International Conference, ICVS 2023, Vienna, Austria, September 27-29, 2023, Proceedings
Autore Christensen Henrik I
Edizione [1st ed.]
Pubbl/distr/stampa Cham : , : Springer, , 2023
Descrizione fisica 1 online resource (466 pages)
Altri autori (Persone) CorkePeter
DetryRenaud
WeibelJean-Baptiste
VinczeMarkus
Collana Lecture Notes in Computer Science Series
ISBN 3-031-44137-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Organization -- Contents -- Humans and Hands -- Tracking and Identification of Ice Hockey Players -- 1 Introduction -- 2 Related Work -- 2.1 Dataset -- 2.2 Player Detection -- 2.3 Player Tracking -- 2.4 Number Recognition -- 3 System Overview -- 3.1 Player Detection -- 3.2 Player Tracking -- 3.3 Player Identification -- 4 Results -- 4.1 Dataset -- 4.2 Player Tracking -- 4.3 Player Identification -- 5 Conclusion -- References -- Dedicated Encoding-Streams Based Spatio-Temporal Framework for Dynamic Person-Independent Facial Expression Recognition -- 1 Introduction -- 2 Related Works -- 3 Proposed Deep CNN-LSTM for Dynamic FER -- 4 Experimental Analysis -- 4.1 Dynamic FER Datasets -- 4.2 Evaluation of the Proposed CNN-LSTM -- 4.3 Comparison Against State-of-the-art -- 4.4 Confusion Matrix-Based Analysis -- 4.5 Ablation Study -- 4.6 Implementation Details and Running Time -- 5 Conclusion -- References -- Hands, Objects, Action! Egocentric 2D Hand-Based Action Recognition -- 1 Introduction -- 2 Related Work -- 3 Hand-Based 2D Action Recognition -- 3.1 Object Detection and Its Position -- 3.2 Hand Pose Estimation -- 3.3 Action Recognition -- 4 Evaluation -- 4.1 Learning Procedure -- 4.2 Stage I - Preliminary Evaluation -- 4.3 Stage II -Evaluation of a Complete Pipeline -- 4.4 Ablation Study -- 5 Conclusion -- References -- WiFi CSI-Based Long-Range Through-Wall Human Activity Recognition with the ESP32 -- 1 Introduction -- 2 Related Work -- 3 Experimental Setup -- 3.1 Hardware -- 3.2 Recording Environment -- 3.3 Data Collection and Pre-processing -- 4 Evaluation -- 4.1 Model Training -- 4.2 Presence Detection Results -- 4.3 Activity Recognition Results -- 5 Conclusion -- References -- PseudoDepth-SLR: Generating Depth Data for Sign Language Recognition -- 1 Introduction -- 2 Related Work -- 3 Methodology.
3.1 Proposed Architecture -- 3.2 Pseudo Depth Data Generation -- 4 Experimental Details -- 4.1 Dataset and Evaluation -- 4.2 Implementation Details -- 5 Results and Analysis -- 5.1 How Significant is Depth Data? -- 5.2 Comparison with State-of-the-Art Results -- 6 Ablation Study -- 6.1 Depth Flow Data -- 6.2 Pseudo Depth Data Generation -- 7 Conclusion -- References -- Slovo: Russian Sign Language Dataset -- 1 Introduction -- 2 Related Work -- 2.1 Sign Language Datasets in Russian Domain -- 2.2 Others Sign Language Datasets -- 2.3 Sign Language Dataset Collection -- 3 Dataset Creation -- 4 Dataset Description -- 5 Experiments -- 6 Conclusion -- References -- Non-contact Heart Rate Monitoring: A Comparative Study of Computer Vision and Radar Approaches -- 1 Introduction -- 2 Non-contact Heart Rate Monitoring -- 2.1 CV-Based HR Monitoring -- 2.2 Radar-Based HR Monitoring -- 3 CV and Radar-Based DMS Testbench Architectures -- 3.1 Proposed CV-Based HR Monitoring Architecture -- 3.2 Proposed Radar-Based HR Monitoring Architecture -- 4 Experiment Design and Results Analysis -- 4.1 Performance Validation -- 4.2 Variation of IBI Distribution with Sensor Modality -- 4.3 Impact of Distance on CV and Radar-Based HR Detection -- 4.4 Impact of Illumination on CV-Based HR Detection -- 4.5 Impact of Motion on CV and Radar-Based HR Detection -- 5 Discussion and Conclusions -- References -- Medical and Health Care -- CFAB: An Online Data Augmentation to Alleviate the Spuriousness of Classification on Medical Ultrasound Images -- 1 Introduction -- 2 Approach -- 2.1 Weakly Supervised Lesion Localization -- 2.2 Mixed Samples Generation -- 2.3 Collaborative Training Framework -- 3 Experiences -- 3.1 Implementation Details -- 3.2 Performance Comparison -- 3.3 Effectiveness of Lesion Localization -- 3.4 Ablation Studies -- 3.5 Visualization -- 4 Conclusion -- References.
Towards an Unsupervised GrowCut Algorithm for Mammography Segmentation -- 1 Introduction -- 2 Related Work -- 3 Proposed Method -- 4 Experimental Results -- 5 Conclusions and Future Work -- References -- DeepLabV3+ Ensemble for Diagnosis of Cardiac Transplant Rejection -- 1 Introduction -- 2 Related Work -- 3 Our Approach -- 3.1 Dataset -- 3.2 Data Preprocessing -- 3.3 DeepLabV3+ -- 3.4 Stacked U-Net -- 3.5 mU-Net++ -- 3.6 Post-processing -- 4 Results -- 4.1 Models Evaluation -- 5 Conclusions and Discussion -- References -- Farming and Forestry -- Of Mice and Pose: 2D Mouse Pose Estimation from Unlabelled Data and Synthetic Prior -- 1 Introduction -- 2 Related Work -- 3 Method -- 4 Experiments -- 5 Discussion and Conclusion -- References -- SIFT-Guided Saliency-Based Augmentation for Weed Detection in Grassland Images: Fusing Classic Computer Vision with Deep Learning -- 1 Introduction -- 2 Related Work -- 2.1 Rumex Detection -- 2.2 Augmentation in Deep Learning -- 3 Method -- 3.1 YOLOR -- 3.2 SIFT-Guided Saliency-Based Augmentation Module -- 4 Experimental Setup -- 4.1 Dataset -- 4.2 Metrics -- 4.3 Fixed Training Settings -- 5 Experiments -- 5.1 Baseline Performance -- 5.2 Ablation Study of Module Usage Probability psift -- 5.3 Ablation Study of Overlay Ratio rsift -- 6 Conclusion -- References -- Key Point-Based Orientation Estimation of Strawberries for Robotic Fruit Picking -- 1 Introduction -- 2 Related Work -- 3 The Approach -- 3.1 Key Point Detection -- 3.2 Key Point-Based Orientation -- 3.3 Improved Estimation of the Pitch Angle -- 4 Evaluation Setup -- 5 Results -- 6 Conclusions and Future Work -- References -- Residual Cascade CNN for Detection of Spatially Relevant Objects in Agriculture: The Grape-Stem Paradigm -- 1 Introduction -- 2 Related Work -- 2.1 Instance Segmentation -- 2.2 Object Detection in Agriculture -- 3 Motivation.
4 Method -- 4.1 Data Collection/Annotation -- 4.2 Yolo-V5 Architecture -- 4.3 Residual Connection of Detectors -- 5 Experimental Results -- 5.1 Evaluation -- 5.2 Conclusions -- References -- Improving Knot Prediction in Wood Logs with Longitudinal Feature Propagation -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Data Preprocessing -- 3.2 Neural Network Architectures Without Recurrent Connections -- 3.3 Neural Network Architectures with Recurrent Connections -- 3.4 Evaluation Metrics -- 3.5 Other Experimental Hyperparameters -- 4 Results -- 5 Discussion -- References -- Automation and Manufacturing -- Semi-Siamese Network for Robust Change Detection Across Different Domains with Applications to 3D Printing -- 1 Introduction -- 2 Related Work -- 3 Semi-Siamese Defect Detection Model -- 3.1 Transfer Learning from U-Net Models -- 3.2 Semi-Siamese Network Architecture -- 3.3 Training Objective -- 4 Experiments -- 4.1 Full Dataset Generation Using Data Augmentation -- 5 Results -- 6 Conclusions -- References -- Spatial Resolution Metric for Optimal Viewpoints Generation in Visual Inspection Planning -- 1 Introduction -- 2 Viewpoint Planning Problem Formulation -- 3 State of the Art of the VPP -- 4 Sampling Density Matrix -- 5 Results and Discussions -- 6 Conclusions and Outlook -- References -- A Deep Learning-Based Object Detection Framework for Automatic Asphalt Pavement Patch Detection Using Laser Profiling Images -- 1 Introduction -- 1.1 Visual Inspection -- 1.2 Related Work -- 2 Methodology -- 2.1 Data Collection & -- Preparation -- 2.2 Network Architecture -- 2.3 Evaluation Protocol -- 2.4 Experimental Results -- 2.5 Patch Detection on Different Pavement Conditions -- 3 Conclusion -- References -- A Flexible Approach to PCB Characterization for Recycling -- 1 Introduction -- 2 Approach -- 2.1 Dataset -- 3 Implementation.
3.1 Segmentation -- 3.2 Components Identification -- 3.3 Rule-Based Classification -- 3.4 ML Classifier -- 4 Results -- 4.1 Rule-Based vs ML Classifier -- 4.2 PCB Classification -- 5 Conclusion -- References -- SynthRetailProduct3D (SyRePro3D): A Pipeline for Synthesis of 3D Retail Product Models with Domain Specific Details Based on Package Class Templates -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Product Package Base Template Model -- 3.2 Object 3D Shape Augmentation -- 3.3 Generative Models for Domain-Specific Add-Ons -- 3.4 Base Texturing -- 3.5 Placing of Domain-Specific Add-Ons -- 4 Results -- 5 Conclusions -- References -- Small, but Important: Traffic Light Proposals for Detecting Small Traffic Lights and Beyond -- 1 Introduction -- 2 Related Work -- 3 Method -- 3.1 Traffic Light Proposal Generator -- 3.2 Traffic Light Detection Module -- 3.3 Training -- 4 Experiments -- 4.1 Quantitative Results -- 4.2 Qualitative Results -- 4.3 Ablation Studies -- 5 Conclusion -- References -- MATWI: A Multimodal Automatic Tool Wear Inspection Dataset and Baseline Algorithms -- 1 Introduction -- 2 Related Work -- 2.1 Datasets and Methods with Sensor Data -- 2.2 Datasets and Methods with Image Data -- 3 MATWI Dataset -- 3.1 Dataset Acquisition -- 3.2 Data Collection Conditions -- 3.3 Hardware Setup -- 3.4 Collected Data -- 4 Algorithms for Wear Estimation -- 4.1 Dataset Training/test Split -- 4.2 Regression Baseline -- 4.3 Histogram-Loss Based Embedding Learning -- 4.4 Quantitative Results -- 5 Conclusions -- 6 Future Work -- References -- Mixing Domains for Smartly Picking and Using Limited Datasets in Industrial Object Detection -- 1 Introduction -- 2 Related Work -- 3 Multi-domain Hybrid Datasets -- 3.1 Real Data Acquisition -- 3.2 Synthetic Data Generation -- 4 Experimentation and Results -- 4.1 Experimentation Setup.
4.2 Obtained Results and Discussion.
Record Nr. UNISA-996550554303316
Christensen Henrik I  
Cham : , : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. di Salerno
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Computer Vision Systems : 14th International Conference, ICVS 2023, Vienna, Austria, September 27–29, 2023, Proceedings / / edited by Henrik I. Christensen, Peter Corke, Renaud Detry, Jean-Baptiste Weibel, Markus Vincze
Computer Vision Systems : 14th International Conference, ICVS 2023, Vienna, Austria, September 27–29, 2023, Proceedings / / edited by Henrik I. Christensen, Peter Corke, Renaud Detry, Jean-Baptiste Weibel, Markus Vincze
Autore Christensen H. I (Henrik I.), <1962->
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (466 pages)
Disciplina 006.37
Altri autori (Persone) CorkePeter I. <1959->
DetryRenaud
WeibelJean-Baptiste
VinczeMarkus <1965->
Collana Lecture Notes in Computer Science
Soggetto topico Computer vision
Artificial intelligence
Computer engineering
Computer networks
Pattern recognition systems
Computer Vision
Artificial Intelligence
Computer Engineering and Networks
Automated Pattern Recognition
ISBN 9783031441370
3031441370
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Humans and Hands -- Tracking and Identification of Ice Hockey Players -- Dedicated Encoding-streams based Spatio-Temporal framework for dynamic person-independent facial expression recognition -- Hands, Objects, Action! Egocentric 2D Hand-based Action Recognition -- WiFi CSI-Based Long-Range Through-Wall Human Activity Recognition with the ESP32 -- PseudoDepth-SLR: Generating Depth Data for Sign Language Recognition -- Slovo: Russian Sign Language Dataset -- Non-contact Heart Rate Monitoring: A Comparative Study of Computer Vision and Radar Approaches -- Medical and Health Care -- CFAB: An Online Data Augmentation to Alleviate the Spuriousness of Classification on Medical Ultrasound Images -- Towards an Unsupervised GrowCut Algorithm for Mammography Segmentation -- DeepLabV3+ Ensemble for Diagnosis of Cardiac Transplant Rejection -- Farming and Forestry -- Of Mice and Pose: 2D Mouse Pose Estimation from Unlabelled Data and Synthetic Prior -- SIFT-guided Saliency-based Augmentation for Weed Detection in Grassland Images:Fusing Classic Computer Vision with Deep Learning -- Key Point-based Orientation Estimation of Strawberries for Robotic Fruit Picking -- Residual Cascade CNN for Detection of Spatially Relevant Objects in Agriculture: The Grape-Stem Paradigm -- Improving Knot Prediction in Wood Logs with Longitudinal Feature Propagation -- Automation and Manufacturing -- Semi-Siamese Network for Robust Change Detection Across Different Domains with Applications to 3D Printing -- Spatial resolution metric for optimal viewpoints generation in visual inspection planning -- A deep learning-based object detection framework for automatic asphalt pavement patch detection using laser profiling images -- A Flexible Approach to PCB Characterization for Recycling -- SynthRetailProduct3D (SyRePro3D): A Pipeline for Synthesis of 3D Retail Product Models with Domain Specific Details based on Package Class Templates -- Small, but important: Traffic light proposals for detecting small traffic lights and beyond -- MATWI: a Multimodal Automatic Tool Wear Inspection dataset and baseline algorithms -- Mixing Domains for Smartly Picking and Using Limited Datasets in Industrial Object Detection -- Mobile Robotics and Autonomous Systems -- Dynamic Vision-based Satellite Detection: A Time-based Encoding Approach with Spiking Neural Networks -- A Hardware-aware Sampling Parameter Search for Efficient Probabilistic Object Detection -- Towards Food Handling Robots for Automated Meal Preparation in Healthcare Facilities -- TrackAgent: 6D Object Tracking via Reinforcement Learning -- Improving Generalization of Synthetically Trained Sonar Image Descriptors for Underwater Place Recognition -- A uniform distribution of landmarks for efficient map compression -- A Novel Approach: Fourier Series Parameterization and Support Vector Machine Regression for 2D Laser SLAM with Closed Shape Features -- Performance and Robustness -- Performance and Failure Cause Estimation for Machine Learning Systems in the Wild -- Data-Free Model Extraction Attacks in the Context of Object Detection -- xAI-CycleGAN, a Cycle-Consistent Generative Assistive Network -- Improving 3D Inline Computational Imaging of Textureless Objects using Pattern Illumination -- Integrating Visual and Semantic Similarity Using Hierarchies for Image Retrieval -- BEVSeg: Geometry and Data-Driven based Multi-View Segmentation in Bird's-Eye-View -- Descriptive Attributes for Language-based Object Keypoint Detection.
Record Nr. UNINA-9910746299903321
Christensen H. I (Henrik I.), <1962->  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Empirical evaluation methods in computer vision [[electronic resource] /] / editors, Henrik I. Christensen, P. Jonathon Phillips
Empirical evaluation methods in computer vision [[electronic resource] /] / editors, Henrik I. Christensen, P. Jonathon Phillips
Pubbl/distr/stampa River Edge, N.J., : World Scientific, c2002
Descrizione fisica 1 online resource (172 p.)
Disciplina 006.3/7
Altri autori (Persone) ChristensenH. I <1962-> (Henrik I.)
PhillipsP. Jonathon
Collana Series in machine perception and artificial intelligence
Soggetto topico Computer vision - Evaluation
Soggetto genere / forma Electronic books.
ISBN 981-277-742-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Contents ; Foreword ; Chapter 1 Automated Performance Evaluation of Range Image Segmentation Algorithms ; 1.1. Introduction ; 1.2. Scoring the Segmented Regions ; 1.3. Segmentation Performance Curves ; 1.4. Training of Algorithm Parameters ; 1.5. Train-and-Test Performance Evaluation
1.6. Training Stage 1.7. Testing Stage ; 1.8. Summary and Discussion ; References ; Chapter 2 Training/Test Data Partitioning for Empirical Performance Evaluation ; 2.1. Introduction ; 2.2. Formal Problem Definition ; 2.2.1. Distance Function ; 2.2.2. Computational Complexity
2.3. Genetic Search Algorithm 2.4. A Testbed ; 2.5. Experimental Results ; 2.6. Conclusions ; References ; Chapter 3 Analyzing PCA-based Face Recognition Algorithms: Eigenvector Selection and Distance Measures ; 3.1. Introduction ; 3.2. The FERET Database ; 3.3. Distance Measures
3.3.1. Adding Distance Measures 3.3.2. Distance Measure Aggregation ; 3.3.3. Correlating Distance Metrics ; 3.3.4. When Is a Difference Significant ; 3.4. Selecting Eigenvectors ; 3.4.1. Removing the Last Eigenvectors ; 3.4.2. Removing the First Eigenvector
3.4.3. Eigenvalue Ordered by Like-Image Difference 3.4.4. Variation Associated with Different Test/Training Sets ; 3.5. Conclusion ; References ; Chapter 4 Design of a Visual System for Detecting Natural Events by the Use of an Independent Visual Estimate: A Human Fall Detector
4.1. Introduction
Record Nr. UNINA-9910458199803321
River Edge, N.J., : World Scientific, c2002
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Empirical evaluation methods in computer vision [[electronic resource] /] / editors, Henrik I. Christensen, P. Jonathon Phillips
Empirical evaluation methods in computer vision [[electronic resource] /] / editors, Henrik I. Christensen, P. Jonathon Phillips
Pubbl/distr/stampa River Edge, N.J., : World Scientific, c2002
Descrizione fisica 1 online resource (172 p.)
Disciplina 006.3/7
Altri autori (Persone) ChristensenH. I <1962-> (Henrik I.)
PhillipsP. Jonathon
Collana Series in machine perception and artificial intelligence
Soggetto topico Computer vision - Evaluation
ISBN 981-277-742-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Contents ; Foreword ; Chapter 1 Automated Performance Evaluation of Range Image Segmentation Algorithms ; 1.1. Introduction ; 1.2. Scoring the Segmented Regions ; 1.3. Segmentation Performance Curves ; 1.4. Training of Algorithm Parameters ; 1.5. Train-and-Test Performance Evaluation
1.6. Training Stage 1.7. Testing Stage ; 1.8. Summary and Discussion ; References ; Chapter 2 Training/Test Data Partitioning for Empirical Performance Evaluation ; 2.1. Introduction ; 2.2. Formal Problem Definition ; 2.2.1. Distance Function ; 2.2.2. Computational Complexity
2.3. Genetic Search Algorithm 2.4. A Testbed ; 2.5. Experimental Results ; 2.6. Conclusions ; References ; Chapter 3 Analyzing PCA-based Face Recognition Algorithms: Eigenvector Selection and Distance Measures ; 3.1. Introduction ; 3.2. The FERET Database ; 3.3. Distance Measures
3.3.1. Adding Distance Measures 3.3.2. Distance Measure Aggregation ; 3.3.3. Correlating Distance Metrics ; 3.3.4. When Is a Difference Significant ; 3.4. Selecting Eigenvectors ; 3.4.1. Removing the Last Eigenvectors ; 3.4.2. Removing the First Eigenvector
3.4.3. Eigenvalue Ordered by Like-Image Difference 3.4.4. Variation Associated with Different Test/Training Sets ; 3.5. Conclusion ; References ; Chapter 4 Design of a Visual System for Detecting Natural Events by the Use of an Independent Visual Estimate: A Human Fall Detector
4.1. Introduction
Record Nr. UNINA-9910784783003321
River Edge, N.J., : World Scientific, c2002
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Intelligent autonomous systems 11 [[electronic resource] ] : IAS-11 / / edited by Henrik I. Christensen, Frans Groen and Emil Petriu
Intelligent autonomous systems 11 [[electronic resource] ] : IAS-11 / / edited by Henrik I. Christensen, Frans Groen and Emil Petriu
Pubbl/distr/stampa Amsterdam ; ; Washington, D.C., : IOS Press, 2010
Descrizione fisica xi, 283 p. : ill
Altri autori (Persone) ChristensenHenrik I
GroenF. C. A
PetriuEmil
Soggetto topico Intelligent control systems
Soggetto genere / forma Electronic books.
ISBN 6612880465
1-282-88046-2
9786612880469
1-60750-613-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910459383703321
Amsterdam ; ; Washington, D.C., : IOS Press, 2010
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Intelligent autonomous systems 11 [[electronic resource] ] : IAS-11 / / edited by Henrik I. Christensen, Frans Groen and Emil Petriu
Intelligent autonomous systems 11 [[electronic resource] ] : IAS-11 / / edited by Henrik I. Christensen, Frans Groen and Emil Petriu
Pubbl/distr/stampa Amsterdam ; ; Washington, D.C., : IOS Press, 2010
Descrizione fisica xi, 283 p. : ill
Altri autori (Persone) ChristensenHenrik I
GroenF. C. A
PetriuEmil
Soggetto topico Intelligent control systems
ISBN 6612880465
1-282-88046-2
9786612880469
1-60750-613-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910785234003321
Amsterdam ; ; Washington, D.C., : IOS Press, 2010
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Intelligent autonomous systems 11 : IAS-11 / / edited by Henrik I. Christensen, Frans Groen and Emil Petriu
Intelligent autonomous systems 11 : IAS-11 / / edited by Henrik I. Christensen, Frans Groen and Emil Petriu
Edizione [1st ed.]
Pubbl/distr/stampa Amsterdam ; ; Washington, D.C., : IOS Press, 2010
Descrizione fisica xi, 283 p. : ill
Altri autori (Persone) ChristensenHenrik I
GroenF. C. A
PetriuEmil
Soggetto topico Intelligent control systems
ISBN 6612880465
1-282-88046-2
9786612880469
1-60750-613-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Title page -- Preface -- Conference Organization -- Contents -- Interactive Systems -- Nursing-Task Recognition Using Accelerometers and RFID -- Recognizing Nonverbal Affective Behavior in Humanoid Robots -- Feasibility of Interactive Localization and Navigation of People with Visual Impairments -- Learning -- Sequentially Greedy Unsupervised Learning of Gaussian Mixture Models by Means of a Binary Tree Structure -- On Ambiguity in Robot Learning from Demonstration -- Recognition and Motion Primitives for Autonomous Clothes Unfolding of Humanoid Robot -- Perception -- 3D Sensing System for Tracked Vehicle Robot Using Movable Laser Range Finder -- Simulating Robotic Auditory Environments -- Development of a Person Following Robot and Its Experimental Evaluation -- Vision -- Evaluating Pose Estimation Methods for Stereo Visual Odometry on Robots -- Object Search on a Mobile Robot Using Relational Spatial Information -- Safe Navigation on a Mobile Robot Using Local and Temporal Visual Cues -- Localization and Mapping -- Representing Spatial Knowledge in Mobile Cognitive Systems -- Landmark Rating and Selection Considering the Observability Regions -- Efficient Local Navigation Using 1D Image Representations -- Navigation -- Autonomous Relative Navigation and Attitude Determination Using Vector Measurement -- Robot Mapping Based on Typicality -- On the Implementation of an Efficient Mobile Robot Navigation System: An RFID Approach -- Planning -- A Rapid Anytime Path Planner with Incorporated Range Sensing to Improve Control on Solution Quality -- Selection of Parameters and Algorithms in Multiple-Goal Task Realization -- Smooth Autonomous Driving on Braunschweig's Inner Ring Road -- Distributed Systems -- Behavior-Based Control of Self-Reconfigurable Robot Teams for Sensor Placement.
Improving Market-Based Task Allocation with Optimal Seed Schedules -- A Thermodynamic Framework for Robot Colony Control -- Map-Merging-Free Connectivity Positioning for Distributed Robot Teams -- Subject Index -- Author Index.
Record Nr. UNINA-9910964074603321
Amsterdam ; ; Washington, D.C., : IOS Press, 2010
Materiale a stampa
Lo trovi qui: Univ. Federico II
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SLAM, simultaneous localization and mapping / / Henrik I. Christensen
SLAM, simultaneous localization and mapping / / Henrik I. Christensen
Autore Christensen Henrik I.
Pubbl/distr/stampa [United States] : , : IEEE, , 2007
Descrizione fisica 1 online resource (1 video file, 180 mins) : color illustrations
Disciplina 629.892
Soggetto topico Mobile robots
ISBN 1-5090-8971-3
1-4244-1435-0
Formato Videoregistrazioni
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISA-996207180403316
Christensen Henrik I.  
[United States] : , : IEEE, , 2007
Videoregistrazioni
Lo trovi qui: Univ. di Salerno
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