Time-varying Image Processing and Moving Object Recognition: International Workshop Proceedings

The new specific area of Time-Varying Image Processing and Moving Object Recognition is attracting increasing interest. This new area is contributing to impressive advances in several fields, such as communications, radar-sonar systems, remote sensing, biomedicine, moving vehicle recognition-tracking, traffic monitoring, automatic inspection and robotics. This volume provides an authoritative and timely review on the latest scientific and technical advances in this area. New digital image processing and recognition methods, implementation techniques and advanced applications are presented. New approaches for solving 3-D problems are described, with particular reference to the recognition and tracking of moving objects. The contributions in this volume, written by internationally renowned experts, will provide both a stimulus for future research in this field as well as useful reference material for many years to come.

Table of Contents:
Digital Processing Methods and Techniques. Image restoration and blur estimation using a constrained maximum likelihood method (L. Blanc-Feruad et al.). An adaptative image scanning and compression method (D. Marino et al.). Image Coding and Transmission. Object based image and image sequence coding (M. Kunt). Temporal frequency conversion on a sequence of HD pictures using multi-predictive motion estimation (B. Choquet, D. Pele). Convergence analysis of a pel-recursive Wiener-based motion estimation algorithm (L. Boroczky et al.). Pattern Recognition Methods and Techniques. Morphological shape representation and recognition (I. Pitas, A.N. Venetsanopoulos). Applications of morphological filters in edge detection and shape description (V. Cappellini et al.). Object oriented system for image processing (V. Cappellini et al.). IPOOS: An advanced system for automatic classification (R. Cecchini et al.). Real time color classification (A. Gunzinger et al.). Some new image classification techniques using fractals (L. Alparone, L. Vivoli). Implementation Techniques. Implementation of 3-D digital filters for image processing applications (B.G. Mertzios et al.). Real-time decision analysis - algorithms, architectures and implementation (C.B. Shung et al.). Real-time image handling to support space station on-board crew activities (S. Galimberti). Optical computing for real-time image processing (G. Ferrigno et al.). Digital Processing of Remote Sensing Data and Images. A radar scan-altimeter as a sounding sensor (G. Picardi, R. Seu). Recognition of rotating objects from radar echoes (G. Jacovitti et al.). Recursive weighted least squares estimation for adaptive underwater target tracking (F. El-Hawary). Land use inventory in undulated terrain by means of statistical analysis of multitemporal TM scenes (C. Conese, F. Maselli). Digital Processing of Biomedical Data and Images. Image regularization for echocardiography digital processing (C. Lambertii et al.). A new algorithm for automatic border detection of two-dimensional echocardiographic images (L. Torres et al.). A different approach to processing Doppler US signal: the estimate of pseudo velocity profile from spectral data (F. Clemente et al.). Detection of moving contours from left-ventricle cineangiograms (P. Grattoni et al.). 3-D Methods and Techniques in Computer Vision. 3D volumetric and pictorial reconstruction from correspondences in 2D sequences (C. Braccini et al.). Some experiments on road detection and obstacles recognition for an autonomous land vehicle (S. Tubaro, F. Rocca). Dynamic evaluation of multiple sensors for obstacle detection and identification (G. Capocaccia et al.). Flaw recognition in composites by processing sequences of infrared images (F. Lotti et al.). Recognition and Tracking of Moving Objects. Motion and pose determination using algebraic methods (T.S. Huang et al.). A new algorithm for motion/structure estimation using error probability (C.W. Chen, T.S. Huang).