Computer Vision -- ECCV 2012. Workshops and Demonstrations

Florence, Italy, October 7-13, 2012, Proceedings, Part III

Andrea Fusiello, Vittorio Murino, Rita Cucchiara (Herausgeber)

Buch | Softcover

XXIV, 684 Seiten

2012
Springer Berlin (Verlag)
978-3-642-33884-7 (ISBN)

Infos

The three volume set LNCS 7583, 7584 and 7585 comprises the Workshops and Demonstrations which took place in connection with the European Conference on Computer Vision, ECCV 2012, held in Firenze, Italy, in October 2012.The total of 179 workshop papers and 23 demonstration papers was carefully reviewed and selected for inclusion in the proceedings.They where held at workshops with the following themes: non-rigid shape analysis and deformable image alignment; visual analysis and geo-localization of large-scale imagery; Web-scale vision and social media; video event categorization, tagging and retrieval; re-identification; biological and computer vision interfaces; where computer vision meets art; consumer depth cameras for computer vision; unsolved problems in optical flow and stereo estimation; what's in a face?; color and photometry in computer vision; computer vision in vehicle technology: from earth to mars; parts and attributes; analysis and retrieval of tracked events and motion in imagery streams; action recognition and pose estimation in still images; higher-order models and global constraints in computer vision; information fusion in computer vision for concept recognition; 2.5D sensing technologies in motion: the quest for 3D; benchmarking facial image analysis technologies.

Inhalt

Pixels, Stixels, and Objects.- Fast Stixel Computation for Fast Pedestrian Detection.- Second Workshop on Parts and AttributesDiscovering a Lexicon of Parts and Attributes.- How Important Are "Deformable Parts" in the Deformable PartsModel? .- Bounding Part Scores for Rapid Detection with Deformable PartModels.- Learning Compact Visual Attributes for Large-Scale ImageClassification.- Unsupervised Learning of Discriminative Relative Visual Attributes.- Retrieval of Tracked Events and Motion in ImageryStreams (ARTEMIS 2012)A Method for Online Analysis of Structured Processes Using BayesianFilters and Echo State Networks.- Monocular Camera Fall Detection System Exploiting 3D Measures: ASemi-supervised Learning Approach.- Person Identification Using Full-Body Motion and AnthropometricBiometrics from Kinect Videos.- Spatio-temporal Video Representation with Locality-ConstrainedLinear Coding.- Real Time Detection of Social Interactions in Surveillance Video.- Towards Space-Time Semantics in Two Frames.- SuperFloxels: A Mid-level Representation for Video Sequences.- Relative Camera Localisation in Non-overlapping Camera NetworksUsing Multiple Trajectories.- Detecting Interesting Events Using Unsupervised Density RatioEstimation.- Destination Flow for Crowd Simulation.- 3D Rotation Invariant Decomposition of Motion Signals.- Learn to Move: Activity Specific Motion Models for Tracking byDetection.- Flow Counting Using Realboosted Multi-sized Window Detectors.- Dynamic Markov Random Field Model for Visual Tracking.- Mode Seeking with an Adaptive Distance Measure.- Constrained Clustering with Local Constraint Propagation.- Occlusion Handling in Video Segmentation via Predictive Feedback.- Pose Estimation in Still ImagesCollective Activity Localization with Contextual Spatial Pyramid.- Viewpoint Invariant Collective Activity Recognition with RelativeAction Context.- On Recognizing Actions in Still Images via Multiple Features.- Higher-Order Models and Global Constraints inComputer VisionTighter Relaxations for Higher-Order Models Based on GeneralizedRoof Duality.- Approximate Envelope Minimization for Curvature Regularity.- Byung-soo Kim, Min Sun, Pushmeet Kohli, and Silvio SavareseSubmodular Relaxation for MRFs with High-Order Potentials.- Adjacency Matrix Construction Using Sparse Coding for LabelPropagation.- Climbing: A Unified Approach for Global Constraints on HierarchicalSegmentation.- Information Fusion in Computer Vision for ConceptRecognitionHierarchical Late Fusion for Concept Detection in Videos.- Fast and Adaptive Deep Fusion Learning for Detecting VisualObjects.- Hybrid Pooling Fusion in the BoW Pipeline.- Joint Sparsity-Based Robust Multimodal Biometrics Recognition.- GPS-Based Multi-viewpoint Integration for Anticipative SceneAnalysis.- Fusion of Speech, Faces and Text for Person Identification in TVBroadcast.- Explicit Performance Metric Optimization for Fusion-Based VideoRetrieval.- Unsupervised Classemes.- A Benchmarking Campaign for the Multimodal Detection of ViolentScenes in Movies.- A Selective Weighted Late Fusion for Visual Concept Recognition.- Fusion of Multiple Visual Cues for Visual Saliency Extraction fromWearable Camera Settings with Strong Motion.- Enhancing Semantic Features with Compositional Analysis for SceneRecognition.- Object Reading: Text Recognition for Object Recognition.- Bayesian Multimodal Fusion in Forensic Applications.- 2.5D Sensing Technologies in Motion: The Quest for3D (QU3ST)Noise Modelling and Uncertainty Propagation for TOF Sensors.- Single Color One-Shot Scan Using Topology Information.- View Planning Approach for Automatic 3D Digitization of UnknownObjects.- Depth Enhancement by Fusion for Passive and Active Sensing.- 2.1 Depth Estimation of Frames in Image Sequences Using MotionOcclusions.- Joint Spatio-temporal Depth Features Fusion Framework for 3DStructure Estimation in Urban Environment.- A Virtual Environment Tool for Benchmarking Face Analysi

Produkt-Details

• Erscheint lt. Verlag: 31.8.2012
• Reihe/Serie: Image Processing, Computer Vision, Pattern Recognition, and Graphics
• Reihe/Serie: Lecture Notes in Computer Science
• Zusatzinfo: XXIV, 684 p. 325 illus.
• Verlagsort: Berlin
• Sprache: englisch
• Maße: 155 x 235 mm
• Gewicht: 1052 g
• Themenwelt: Informatik ► Grafik / Design ► Digitale Bildverarbeitung
• Schlagworte: Algorithm analysis and problem complexity • augmented reality • Cognitive Modeling • environment modeling • Human-Machine Interaction • visual analysis
• ISBN-10: 3-642-33884-4 / 3642338844
• ISBN-13: 978-3-642-33884-7 / 9783642338847
• Zustand: Neuware