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Preface; Contents; Part I Image Processing ; Classifier Selection Uses Decision Profiles in Binary Classification Task; 1 Introduction; 2 Ensemble of Classifiers; 3 Proposal Selection Methods of a Posteriori Probability Estimations; 3.1 Algorithm with the Use of Average; 3.2 Algorithm with the Use of Average and Standard Deviation; 4 Experimental Studies; 5 Conclusion; References; 2DHMM-Based Face Recognition Method; 1 Introduction; 2 Propose Method; 2.1 Pre-processing Procedure; 2.2 Features Extraction; 2.3 2D HMM; 3 Experiment; 4 Conclusion; References

Corner Detection Based on Directional Gradients
Comparative Study1 Introduction; 2 Classic Corner Detectors; 3 Modifications of Classic Scheme; 4 Tests; 4.1 Methodology of Testing; 4.2 Results; 5 Conclusions; References; Sensor Fusion Enhancement for Mobile Positioning Systems; 1 Introduction; 2 Related Works; 3 Background Theory; 4 Measurement Results; 5 Conclusions; References; Thermal Face Recognition; 1 Introduction; 2 Image Acquisition; 3 Image Preprocessing; 4 Texture Feature; 5 Conclusions; References

Feature Reduction Using Similarity Measure in Object Detector Learning with Haar-Like Features1 Introduction; 2 The Object Detector Training; 2.1 Features; 2.2 The AdaBoost Algorithm; 2.3 The Classifier Cascade Learning; 3 Feature Reduction; 3.1 Related Works; 3.2 Methods Based on a Subset of the Best Features from First Weak Classifier Building Step in Cascade Layer; 3.3 Methods Based on Features Similarity Measures; 4 Experiments and Results; 5 Conclusions; References; Assessment of the Brain Coverage Ratio in the Postoperative Craniosynostosis Based on 3D CT Scans; 1 Introduction

2 The Proposed Approach2.1 Preprocessing; 2.2 Brain Segmentation; 2.3 Determination of Brain Coverage Ratio (BCR); 3 Results; 4 Conclusions; References; Combined Imaging System for Taking Facial Portraits in Visible and Thermal Spectra; 1 Introduction; 1.1 Existing Databases; 2 Capture System; 3 Data Acquisition; 3.1 Operating Procedure; 3.2 Data Structure; 4 Summary; References; The PUT Surveillance Database; 1 Introduction; 2 Review of Existing Solutions; 3 Acquisition Procedure; 4 Additional Data; 5 Potential Applications of the Database; 6 Conclusions and Future Work

7 Obtaining the DatabaseReferences; Applying Image Features and AdaBoost Classification for Vehicle Detection in the 'SM4Public' System; 1 Introduction; 2 The Description of the Applied Approaches; 3 Experimental Conditions and Results; 4 Summary and Conclusions; References; Automatic Analysis of Vehicle Trajectory Applied to Visual Surveillance; 1 Introduction; 2 Vision-Based ITS Solutions; 3 Trajectory Analysis and Its Potential Use; 4 The Proposed Algorithm; 5 Evaluation and Application in the `SM4Public' Project; 6 Conclusions; References

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