Time-Varying Image Processing and Moving Object Recognition

V. Cappellini

ISBN 10: 0444814671 / ISBN 13: 9780444814678

Edité par Elsevier Science and Technology, GB, 1994

A propos de cet article

In the area of Digital Image Processing the new area of "Time-Varying Image Processing and Moving Oject Recognition" is contributing to impressive advances in several fields. Presented in this volume are new digital image processing and recognition methods, implementation techniques and advanced applications such as television, remote sensing, biomedicine, traffic, inspection, and robotics. New approaches (such as digital transforms, neural networks) for solving 2-D and 3-D problems are described. Many papers concentrate on motion estimation and recognition i.e. tracking of moving objects. Overall, the book describes the state-of-the-art (theory, implementation, applications) of this developing area, together with future trends. The work will be of interest not only to researchers, professors and students in university departments of engineering, communications, computers and automatic control, but also to engineers and managers of industries concerned with computer vision, manufacturing, automation, robotics and quality control.

N° de réf. du vendeur LU-9780444814678

Détails bibliographiques

• Titre: Time-Varying Image Processing and Moving Object Recognition
• Éditeur: Elsevier Science and Technology, GB
• Date de parution: 1994
• Langue: anglais
• ISBN à 10 chiffres: 0444814671
• ISBN à 13 chiffres: 9780444814678
• Reliure: Hardback
• État de l'article: New

A propos de ce titre

Synopsis

In the area of Digital Image Processing the new area of "Time-Varying Image Processing and Moving Oject Recognition" is contributing to impressive advances in several fields. Presented in this volume are new digital image processing and recognition methods, implementation techniques and advanced applications such as television, remote sensing, biomedicine, traffic, inspection, and robotics. New approaches (such as digital transforms, neural networks) for solving 2-D and 3-D problems are described. Many papers concentrate on motion estimation and recognition i.e. tracking of moving objects. Overall, the book describes the state-of-the-art (theory, implementation, applications) of this developing area, together with future trends. The work will be of interest not only to researchers, professors and students in university departments of engineering, communications, computers and automatic control, but also to engineers and managers of industries concerned with computer vision, manufacturing, automation, robotics and quality control.