LEADER 14090nam 22009975 450 001 9910484986803321 005 20200629220136.0 010 $a3-319-25903-2 024 7 $a10.1007/978-3-319-25903-1 035 $a(CKB)4340000000001188 035 $a(SSID)ssj0001584795 035 $a(PQKBManifestationID)16265179 035 $a(PQKBTitleCode)TC0001584795 035 $a(PQKBWorkID)14866383 035 $a(PQKB)10538305 035 $a(DE-He213)978-3-319-25903-1 035 $a(MiAaPQ)EBC6283714 035 $a(MiAaPQ)EBC5586643 035 $a(Au-PeEL)EBL5586643 035 $a(OCoLC)932170130 035 $a(PPN)190529296 035 $a(EXLCZ)994340000000001188 100 $a20151007d2015 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aAdvanced Concepts for Intelligent Vision Systems $e16th International Conference, ACIVS 2015, Catania, Italy, October 26-29, 2015. Proceedings /$fedited by Sebastiano Battiato, Jacques Blanc-Talon, Giovanni Gallo, Wilfried Philips, Dan Popescu, Paul Scheunders 205 $a1st ed. 2015. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2015. 215 $a1 online resource (XXI, 897 p. 389 illus.) 225 1 $aImage Processing, Computer Vision, Pattern Recognition, and Graphics ;$v9386 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-319-25902-4 320 $aIncludes bibliographical references and index. 327 $aIntro -- Preface -- About the Volume Editors -- Organization -- Contents -- Low-Level Image Processing -- BNRFBE Method for Blur Estimation in Document Images -- 1 Introduction -- 2 Blur Analysis -- 3 Blur Measuring -- 3.1 Principle of the Measurement -- 3.2 Text Blur Measurement -- 4 Experiments -- 4.1 Simulated Blur -- 4.2 Influence of Working Zone Z -- 4.3 Real Images -- 4.4 DIQA Database -- 5 Conclusion -- References -- Edge Width Estimation for Defocus Map from a Single Image -- 1 Introduction -- 2 Edge Width -- 2.1 Gaussian Edge Model -- 2.2 Estimation of Edge Width -- 2.3 The Edge Width Estimation Algorithm -- 3 Defocus Blur Estimation -- 3.1 Sparse Defocus Map -- 3.2 Full Defocus Map -- 4 Results and Discussion -- 4.1 Possible Improvement -- 5 Conclusion -- References -- RSD-DOG: A New Image Descriptor Based on Second Order Derivatives -- 1 Introduction -- 1.1 Related Work -- 2 Directional Filter -- 3 Ridge and Valley Detection Using Difference of Gaussian Filters -- 3.1 Difference of Half Smoothing Filters (DHSF) -- 3.2 Estimating the Direction of Second Order Statistics Such as Ridges and Valleys -- 4 Descriptor Construction -- 5 Experiments and Results -- 5.1 Dataset and Evaluation -- 5.2 Descriptor Performance -- 6 Conclusion -- References -- Ringing Artifact Suppression Using Sparse Representation -- 1 Introduction -- 2 Ringing Suppression -- 2.1 Problem Formulation -- 2.2 Joint Sparse Coding -- 2.3 Ringing Suppression Method -- 3 Evaluation -- 4 Conclusion -- References -- Patch-Based Mathematical Morphology for Image Processing, Segmentation and Classification -- 1 Introduction -- 2 Patch Complete Lattice Learning -- 2.1 Complete Lattice from Patches -- 2.2 Complete Lattice Learning -- 2.3 Patch-Based MM Operators -- 3 Applications -- 3.1 Color Image Processing -- 3.2 Color Image Segmentation. 327 $a3.3 Color Image Texture Classification -- 4 Conclusion -- References -- Time Ordering Shuffling for Improving Background Subtraction -- 1 Introduction -- 2 Time Shuffling Strategies -- 2.1 Principle -- 2.2 Random Time Shuffling Strategy -- 2.3 Deterministic Time Shuffling Strategies -- 2.4 Implementation of the Deterministic Strategies -- 3 Experiments and Results -- 3.1 Initialization -- 3.2 Dataset -- 3.3 Background Subtraction Algorithms -- 3.4 Results and Interpretation -- 4 Conclusions -- References -- Fast and Low Power Consumption Outliers Removal for Motion Vector Estimation -- 1 Introduction -- 2 Proposed Method -- 2.1 Pre-processing -- 2.2 Advanced Voting -- 2.3 Motion Estimation Model -- 3 Experimental Results -- 4 Computational Cost Comparison -- 5 Conclusion -- References -- Adaptive Scale Selection for Multiscale Image Denoising -- 1 Introduction -- 2 Motivation of the Work -- 2.1 Atomic Representation and Time-Scale Evolution -- 2.2 Rational Dilation Wavelet Transform -- 3 Scale Selection -- 3.1 Packets of Atoms -- 3.2 Scale Selection Algorithm -- 4 Adaptive RDWT -- 5 Preliminary Experimental Results -- 6 Conclusions -- References -- Secure Signal Processing Using Fully Homomorphic Encryption -- 1 Introduction -- 2 Related Work -- 3 Fully Homomorphic Encryption -- 4 Encrypted Natural Logarithm -- 5 Brightness/Contrast Filter Theory -- 6 Experimental Results -- 7 Conclusion -- References -- Video Processing and Camera Networks -- Towards a Bayesian Video Denoising Method -- 1 Introduction -- 2 Bayesian Video Denoising -- 2.1 A Nonlocal Bayesian Principle -- 2.2 Learning the a Priori Model -- 2.3 Description of the Algorithm -- 2.4 Computational Complexity -- 3 Results -- 4 Conclusions -- References -- Collaborative, Context Based Activity Control Method for Camera Networks -- 1 Introduction -- 2 Related Work. 327 $a3 The Implemented Algorithm -- 4 The Test Setup -- 5 Results and Discussion -- 6 Conclusions -- References -- EFIC: Edge Based Foreground Background Segmentation and Interior Classification for Dynamic Camera Viewpoints -- 1 Introduction -- 2 Edge Based Foreground Background Segmentation -- 2.1 Previous Work -- 2.2 Foreground Shape Correction -- 2.3 Ghost Removal -- 3 Camera Motion Detection -- 3.1 Optical Flow -- 3.2 Flow Based Camera Motion Detection -- 4 Camera Motion Compensation -- 4.1 Affine Image Transformation -- 4.2 Distinction Between Panning/Tilting and Jitter -- 4.3 Jitter Compensation -- 4.4 Panning/Tilting Compensation -- 5 Experiments -- 6 Conclusions -- References -- A Unified Camera Calibration from Arbitrary Parallelograms and Parallepipeds -- 1 Introduction -- 2 Preliminaries -- 2.1 Parallelogram Parameterization -- 3 Projections of Parallelograms -- 3.1 Canonic Homography -- 3.2 Measurement Matrix of Homographies -- 4 Parameter Estimation -- 4.1 Rescaling the Measurement Matrix -- 4.2 Factorization -- 4.3 Resolving Affine Ambiguity -- 4.4 Computing Camera Parameters -- 5 Merging Information from Parallelepipeds -- 6 Experimental Results -- 6.1 Simulated Experiment -- 6.2 Real Image Experiment -- 7 Conclusion -- References -- Motion Compensation Based on Robust Global Motion Estimation: Experiments and Applications -- 1 Introduction -- 2 Related Work -- 2.1 Problem Statement -- 2.2 Geometric Feature-Based Methods -- 2.3 Direct Methods -- 3 Proposed Method -- 3.1 Outlines of the Method -- 3.2 Detailed Method -- 3.3 A Hybrid Pyramidal Method Robust to Large Motion -- 3.4 Motion Estimation Robust to Occlusions and Moving Objects -- 4 Experimental Framework and Results -- 4.1 Problem Statement -- 4.2 Experiments -- 4.3 Criteria -- 4.4 Results -- 5 Applications -- 5.1 Stabilisation -- 5.2 Panorama Creation. 327 $a5.3 Moving Target Detection and Tracking -- 6 Conclusion and Future Work -- References -- Bayesian Fusion of Back Projected Probabilities (BFBP): Co-occurrence Descriptors for Tracking in Complex Environments -- 1 Introduction -- 2 Related Work -- 3 Probabilstic Color Co-occurrence Modeling -- 4 Bayesian Fusion of Multiple Co-occurrence Back Projections -- 5 Experimental Evaluations -- 6 Conclusion -- References -- Embedded System Implementation for Vehicle Around View Monitoring -- 1 Introduction -- 2 Surrounding Image Construction -- 2.1 Rectification -- 2.2 Bird's-Eye-View Transformation -- 2.3 Image Stitching -- 3 Embedded System Implementation -- 3.1 Hardware System Architecture -- 3.2 Performance Optimization -- 4 Experimental Results -- 4.1 Calibration Result -- 4.2 Result of Bird's-Eye-View Transformation -- 4.3 Obtaining 360 Surrounding View Image -- 4.4 Real-Time Stitching Performance and Precision -- 5 Conclusion -- References -- Motion and Tracking -- Cosine-Sine Modulated Filter Banks for Motion Estimation and Correction -- 1 Introduction -- 2 Cosine-Sine Modulated Filter Bank -- 3 Motion Estimation -- 3.1 The Error Function -- 3.2 Hierarchical Motion Estimation with CSMFB -- 4 Results -- 4.1 Motion Estimation -- 4.2 Motion Correction -- 4.3 Phase Shift Correction -- 4.4 Motion Correction in Magnetic Resonance Imaging -- 5 Conclusions -- Fast and Robust Variational Optical Flow for High-Resolution Images Using SLIC Superpixels -- 1 Introduction -- 2 Existing Work Using (Over)Segmentation -- 3 Existing Superpixel Methods -- 3.1 gSLIC Superpixels -- 3.2 (g)SLIC in Our Proposed Workflow -- 4 Variational Optical Flow on the Superpixel Grid -- 5 Experiments and Results -- 6 Conclusion -- 7 Future Work -- References -- Depth-Based Filtration for Tracking Boost -- 1 Introduction -- 2 Proposed Approach -- 2.1 Pixel Filtration. 327 $a2.2 Tracking Stage -- 2.3 Detection Stage -- 2.4 Occlusion Handling -- 2.5 Recenter and Resize -- 2.6 Learning Stage -- 3 Experimental Results -- 3.1 Success Rate -- 3.2 Precision -- 3.3 Efficiency -- 4 Conclusion -- Robust Fusion of Trackers Using Online Drift Prediction -- 1 Introduction -- 2 Related Work -- 3 Our Approach -- 3.1 Drift Predictor -- 3.2 Computation of the Fusion Bounding Box -- 3.3 Object Model Reinitialization or Update -- 4 Fusion Experiments and Results -- 4.1 Video Dataset -- 4.2 Evaluation Protocol -- 4.3 Implementation -- 4.4 Results -- 5 Conclusion -- References -- Bootstrapping Computer Vision and Sensor Fusion for Absolute and Relative Vehicle Positioning -- 1 Introduction -- 2 Fusion Approach -- 3 Visual Features -- 4 Improved GPS Method -- 5 Dynamic Map -- References -- Detection of Social Groups in Pedestrian Crowds Using Computer Vision -- 1 Introduction -- 2 Proposed Methodology -- 3 Bottom up Hierarchical Clustering -- 4 Experimental Results -- 5 Conclusions -- References -- Single Image Visual Obstacle Avoidance for Low Power Mobile Sensing -- 1 Introduction -- 2 Navigating Around Obstacles -- 2.1 Relative Focus Maps -- 2.2 Obstacle Avoidance -- 2.3 Implementation -- 3 Evaluation -- 4 Conclusions and Future Work -- References -- ROS-Based SLAM for a Gazebo-Simulated Mobile Robot in Image-Based 3D Model of Indoor Environment -- 1 Introduction -- 2 System Setup -- 2.1 Choice of a Robot for Simulation in Gazebo -- 2.2 PR-2 Robot Description and Simulation -- 2.3 AR-601M Robot Description and Simulation -- 3 Camera-Based 3D Model of Indoor Environment -- 3.1 Indoor Environment Shooting with Camera -- 3.2 Image-Based 3D Modeling of Indoor Environment -- 4 ROS-Based SLAM Using Gazebo in Image-Based 3D Model of Indoor Environment -- 4.1 Robot Simulation in Gazebo -- 4.2 ROS-Based SLAM Simulation in Gazebo -- References. 327 $aSecurity, Forensics and Biometrics. 330 $aThis book constitutes the thoroughly refereed proceedings of the 16th International Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2015, held Catania, Italy, in October 2015. The 76 revised full papers were carefully selected from 129 submissions.  Acivs 2015 is a conference focusing on techniques for building adaptive, intelligent, safe and secure imaging systems. The focus of the conference is on following topic: low-level Image processing, video processing and camera networks, motion and tracking, security, forensics and biometrics, depth and 3D, image quality improvement and assessment, classification and recognition, multidimensional signal processing, multimedia compression, retrieval, and navigation. 410 0$aImage Processing, Computer Vision, Pattern Recognition, and Graphics ;$v9386 606 $aComputer security 606 $aData encryption (Computer science) 606 $aCoding theory 606 $aInformation theory 606 $aE-commerce 606 $aManagement information systems 606 $aComputer science 606 $aComputers and civilization 606 $aSystems and Data Security$3https://scigraph.springernature.com/ontologies/product-market-codes/I28060 606 $aCryptology$3https://scigraph.springernature.com/ontologies/product-market-codes/I28020 606 $aCoding and Information Theory$3https://scigraph.springernature.com/ontologies/product-market-codes/I15041 606 $ae-Commerce/e-business$3https://scigraph.springernature.com/ontologies/product-market-codes/I26000 606 $aManagement of Computing and Information Systems$3https://scigraph.springernature.com/ontologies/product-market-codes/I24067 606 $aComputers and Society$3https://scigraph.springernature.com/ontologies/product-market-codes/I24040 615 0$aComputer security. 615 0$aData encryption (Computer science). 615 0$aCoding theory. 615 0$aInformation theory. 615 0$aE-commerce. 615 0$aManagement information systems. 615 0$aComputer science. 615 0$aComputers and civilization. 615 14$aSystems and Data Security. 615 24$aCryptology. 615 24$aCoding and Information Theory. 615 24$ae-Commerce/e-business. 615 24$aManagement of Computing and Information Systems. 615 24$aComputers and Society. 676 $a004 702 $aBattiato$b Sebastiano$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aBlanc-Talon$b Jacques$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aGallo$b Giovanni$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aPhilips$b Wilfried$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aPopescu$b Dan$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aScheunders$b Paul$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910484986803321 996 $aAdvanced Concepts for Intelligent Vision Systems$9772795 997 $aUNINA