Advanced Concepts for Intelligent Vision Systems 15th International Conference, ACIVS 2013, Poznań, Poland, October 28-31, 2013. Proceedings /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Blanc-Talon, Jacques (Επιμελητής έκδοσης), Kasinski, Andrzej (Επιμελητής έκδοσης), Philips, Wilfried (Επιμελητής έκδοσης), Popescu, Dan (Επιμελητής έκδοσης), Scheunders, Paul (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2013.
• Σειρά: Lecture Notes in Computer Science, 8192
• Θέματα: Computer science.; Computer communication systems.; Algorithms.; Artificial intelligence.; Computer graphics.; Image processing.; Pattern recognition.; Computer Science.; Image Processing and Computer Vision.; Artificial Intelligence (incl. Robotics).; Pattern Recognition.; Computer Graphics.; Computer Communication Networks.; Algorithm Analysis and Problem Complexity.

 This book constitutes the thoroughly refereed proceedings of the 15th International Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2013, held in Poznań, Poland, in October 2013. The 63 revised full papers were carefully selected from 111 submissions. The topics covered are acquisition, pre-processing and coding, biometry, classification and recognition, depth, 3D and tracking, efficient implementation and frameworks, low level image analysis, segmentation, and video analysis. 

 Acquisition, Pre-processing and Coding -- Efficient Low Complexity SVC Video Transrater with Spatial Scalability -- Visual Data Encryption for Privacy Enhancement in Surveillance Systems -- Distance Estimation with a Two or Three Aperture SLR Digital Camera -- Acquisition of Agronomic Images with Sufficient Quality by Automatic Exposure Time Control and Histogram Matching -- An Enhanced Weighted Median Filter for Noise Reduction in SAR Interferograms -- High Precision Restoration Method for Non-uniformly Warped Images -- Noise Robustness Analysis of Point Cloud Descriptors -- Restoration of Blurred Binary Images Using Discrete Tomography -- Minimum Memory Vectorisation of Wavelet Lifting -- Magnitude Type Preserving Similarity Measure for Complex Wavelet Based Image Registration -- Biometry -- Real-Time Face Pose Estimation in Challenging Environments -- Human Motion Capture Using Data Fusion of Multiple Skeleton Data -- Recognizing Conversational Interaction Based on 3D Human Pose -- Upper-Body Pose Estimation Using Geodesic Distances and Skin-Color -- A New Approach for Hand Augmentation Based on Patch Modelling -- Hidden Markov Models for Modeling Occurrence Order of Facial Temporal Dynamics -- Adaptive Two Phase Sparse Representation Classifier for Face Recognition -- Automatic User-Specific Avatar Parametrisation and Emotion Mapping -- Classification and Recognition -- Optimizing Contextual-Based Optimum-Forest Classification through Swarm Intelligence -- A Mobile Imaging System for Medical Diagnostics -- Fast Road Network Extraction from Remotely Sensed Images -- Partial Near-Duplicate Detection in Random Images by a Combination of Detectors -- Object Recognition and Modeling Using SIFT Features -- Painting Scene Recognition Using Homogenous Shapes -- A Novel Graph Based Clustering Technique for Hybrid Segmentation of Multi-spectral Remotely Sensed Images -- Depth, 3D and Tracking -- Planar Segmentation by Time-of-Flight Cameras -- An Efficient Normal-Error Iterative Algorithm for Line Triangulation -- Moving Object Detection System in Aerial Video Surveillance -- An Indoor RGB-D Dataset for the Evaluation of Robot Navigation Algorithms -- Real-Time Depth Map Based People Counting -- Tracking of a Handheld Ultrasonic Sensor for Corrosion Control on Pipe Segment Surfaces -- Extended GrabCut for 3D and RGB-D Point Clouds -- Efficient Implementations and Frameworks -- A Resource Allocation Framework for Adaptive Selection of Point Matching Strategies -- VTApi: An Efficient Framework for Computer Vision Data Management and Analytics -- Computational Methods for Selective Acquisition of Depth Measurements: An Experimental Evaluation -- A New Color Image Database TID2013: Innovations and Results -- Performance Evaluation of Video Analytics for Surveillance On-Board Trains -- GPU-Accelerated Human Motion Tracking Using Particle Filter Combined with PSO -- Low Level Image Analysis and Segmentation -- Modelling Line and Edge Features Using Higher-Order Riesz -- Transforms -- Semantic Approach in Image Change Detection -- Small Target Detection Improvement in Hyperspectral Image -- The Objective Evaluation of Image Object Segmentation Quality -- A Modification of Diffusion Distance for Clustering and Image Segmentation -- Flexible Multi-modal Graph-Based Segmentation -- The Divide and Segment Method for Parallel Image Segmentation -- Unsupervised Segmentation for Transmission Imaging of Carbon Black -- Tree Symbols Detection for Green Space Estimation -- Hierarchical Layered Mean Shift Methods -- Globally Segmentation Using Active Contours and Belief Function -- Video Analytics -- Automatic Monitoring of Pig Activity Using Image Analysis -- IMM-Based Tracking and Latency Control with Off-the-Shelf IP PTZ Camera -- Evaluation of Traffic Sign Recognition Methods Trained on Synthetically Generated Data -- Robust Multi-camera People Tracking Using Maximum Likelihood Estimation -- A Perception-Based Interpretation of the Kernel-Based Object Tracking -- Efficient Detection and Tracking of Road Signs Based on Vehicle Motion and Stereo Vision -- Incremental Principal Component Analysis-Based Sparse Representation for Face Pose Classification -- Person Detection with a Computation Time Weighted AdaBoost -- Perspective Multiscale Detection of Vehicles for Real-Time Forward Collision Avoidance Systems -- Learning and Propagation of Dominant Colors for Fast Video Segmentation -- A Key-Pose Similarity Algorithm for Motion Data Retrieval -- Training with Corrupted Labels to Reinforce a Probably Correct Teamsport Player Detector -- Spherical Center-Surround for Video Saliency Detection Using Sparse Sampling -- Semantic Concept Detection Using Dense Codeword Motion.