Computer Vision Systems: 7th International Conference on Computer Vision Systems, Icvs 2009 Liège, Belgium, October 13-15, 2009, Proceedings

ISBN-13: 9783642046667 / Angielski / Miękka / 2009 / 472 str.

Mario Fritz

Opis

Computer vision research has taken great strides over the past decade. To - ploy researchresults in large-scale, real-worldapplications, progress on scienti?c frontiersmustbecomplementedbycorrespondingresearchanddevelopmentc- cerning issues such as systems integration, scalable architectures and repres- tations, automated con?guration, adaptation and recovery, closing percepti- action-loops, real-time and embedded implementations, benchmarking, etc. The InternationalConferenceonComputerVisionSystems(ICVS)isaregularforum with this perspective on systems. It brings together researchers and developers from academia and industry, fostering research and technology transfer relevant to real-world, deployed computer vision systems. This volume contains the papers presented at ICVS 2009 in Li ege, Belgium, continuing the established series of conferences held so far in Europe and North America. A total of 96 submissions were received. Each of them was reviewed by at least 3 program committee members in a double-blind procedure. Overall, 45 contributed papers were accepted, 21 for oral presentation and 24 as posters. The contributions cover a broad spectrum of aspects related to computer - sion systems such as learning, recognition, HCI, robotic applications, real-time constraints, cognitive systems, and architectures, to name just a few. In addition, ICVS 2009 featured two invited speakers who presented c- plementary issues of high importance to computer vision systems. James M. DiCarlo from the Massachusetts Institute of Technology is a leading researcher incomputationalmodels ofbrainmechanismsthatunderlie biologicalvision, the ultimate example of deployedvisionsystems and animportant source of inspi- tionfor arti?cialsystems.JayYagnikistheHeadofComputer VisionandAudio Understanding Research at Google Inc., overseeing research and development in computer vision aimed at extremely large-scale application.

Spis treści

Human-Machine Interaction.- Recognizing Gestures for Virtual and Real World Interaction.- Multimodal Speaker Recognition in a Conversation Scenario.- FaceL: Facile Face Labeling.- Automatic Assessment of Eye Blinking Patterns through Statistical Shape Models.- Open-Set Face Recognition-Based Visitor Interface System.- Cascade Classifier Using Divided CoHOG Features for Rapid Pedestrian Detection.- Sensors, Features and Representations.- Boosting with a Joint Feature Pool from Different Sensors.- A Multi-modal Attention System for Smart Environments.- Individual Identification Using Gait Sequences under Different Covariate Factors.- Using Local Symmetry for Landmark Selection.- Combining Color, Depth, and Motion for Video Segmentation.- Stable Structural Deformations.- Demand-Driven Visual Information Acquisition.- Stereo, 3D and Optical Flow.- A Real-Time Low-Power Stereo Vision Engine Using Semi-Global Matching.- Feature-Based Stereo Vision Using Smart Cameras for Traffic Surveillance.- Development and Long-Term Verification of Stereo Vision Sensor System for Controlling Safety at Railroad Crossing.- Generation of 3D City Models Using Domain-Specific Information Fusion.- Bio-inspired Stereo Vision System with Silicon Retina Imagers.- A Fast Joint Bioinspired Algorithm for Optic Flow and Two-Dimensional Disparity Estimation.- Calibration and Registration.- GPU-Accelerated Nearest Neighbor Search for 3D Registration.- Visual Registration Method for a Low Cost Robot.- Automatic Classification of Image Registration Problems.- Practical Pan-Tilt-Zoom-Focus Camera Calibration for Augmented Reality.- Mobile and Autonomous Systems.- Learning Objects and Grasp Affordances through Autonomous Exploration.- Integration of Visual Cues for Robotic Grasping.- A Hierarchical System Integration Approach with Application to Visual Scene Exploration for Driver Assistance.- Real-Time Traversable Surface Detection by Colour Space Fusion and Temporal Analysis.- Saliency-Based Obstacle Detection and Ground-Plane Estimation for Off-Road Vehicles.- Performance Evaluation of Stereo Algorithms for Automotive Applications.- Evaluation, Studies and Applications.- White-Box Evaluation of Computer Vision Algorithms through Explicit Decision-Making.- Evaluating the Suitability of Feature Detectors for Automatic Image Orientation Systems.- Interest Point Stability Prediction.- Relevance of Interest Points for Eye Position Prediction on Videos.- A Computer Vision System for Visual Grape Grading in Wine Cellars.- Inspection of Stamped Sheet Metal Car Parts Using a Multiresolution Image Fusion Technique.- Who’s Counting? Real-Time Blackjack Monitoring for Card Counting Detection.- Learning, Recognition and Adaptation.- Increasing the Robustness of 2D Active Appearance Models for Real-World Applications.- Learning Query-Dependent Distance Metrics for Interactive Image Retrieval.- Consistent Interpretation of Image Sequences to Improve Object Models on the Fly.- Nonideal Iris Recognition Using Level Set Approach and Coalitional Game Theory.- Incremental Video Event Learning.- A System for Probabilistic Joint 3D Head Tracking and Pose Estimation in Low-Resolution, Multi-view Environments.- Robust Tracking by Means of Template Adaptation with Drift Correction.- A Multiple Hypothesis Approach for a Ball Tracking System.- Fast Vision-Based Object Recognition Using Combined Integral Map.

Blurb

This book constitutes the refereed proceedings of the 7th International Conference on Computer Vision Systems, ICVS 2009, held in Liege, Belgium, October 13-15, 2009.

The 21 papers for oral presentation presented together with 24 poster presentations and 2 invited papers were carefully reviewed and selected from 96 submissions. The papers are organized in topical sections on human-machine-interaction, sensors, features and representations, stereo, 3D and optical flow, calibration and registration, mobile and autonomous systems, evaluation, studies and applications, learning, recognition and adaption.