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Antonio Neves

University of AveiroPortugal

Prof. António J. R. Neves received the Ph.D. in Electrical Engineering from the University of Aveiro, in 2007. Since 2002 he is a researcher at Institute of Electronics and Informatics Engineering of Aveiro and since 2007 an Assistant Professor at the Department of Electronics, Telecommunications and Informatics of the University of Aveiro. He is an IEEE Senior Member and member of several other research organizations worldwide. His main research interests are computer vision, robotics and image and video processing. He participated or coordinated several research projects and published more than 150 publications, including books, book chapters, journal articles and conference papers. He has also a vast experience as a reviewer of several journals and conferences. As a professor, he supervised several Ph.D. students and Master students in the referred areas. Moreover, he has been head Professor for several courses in the areas of computer science, signal processing, image processing and robotics. Since 2018 he is the Derector of the Master’s Program in Electronics and Telecommunications Engineering.

2books edited

4chapters authored

Latest work with IntechOpen by Antonio Neves

The goal of Intelligent video surveillance systems is to efficiently extract useful information from a considerable number of videos collected by surveillance cameras by automatically detecting, tracking and recognizing objects of interest, and understanding and analyzing their activities. Video surveillance has a huge amount of applications, from public to private places. These applications require monitoring indoor and outdoor scenes. Nowadays, there are a considerable number of digital surveillance cameras collecting a huge amount of data on a daily basis. Researchers are urged to develop intelligent systems to efficiently extract and visualize useful information from this big data source. The exponential effort on the development of new algorithms and systems for video surveillance is confirmed by the amount of effort invested in projects and companies, the creation on new startups worldwide and, not less important, in the quantity and quality of the manuscripts published in a considerable number of journals and conferences worldwide. This book is an outcome of research done by several researchers who have highly contributed to the field of Video Surveillance. The main goal is to present recent advances in this important topic for the Image Processing community.

Intelligent Video SurveillanceEdited by Antonio Neves

Intelligent Video Surveillance

Edited by Antonio Neves

Books edited

Service RobotsEdited by Antonio Neves

Service Robots

Edited by Antonio Neves

Chapters authored

Compression of Microarray Images

By Antonio J. R. Neves and Armando J. Pinho

Part of the book: Signal Processing

Finite-Context Models for DNA Coding

By Armando J. Pinho, Antonio J. R. Neves, Daniel A. Martins, Carlos A. C. Bastos and Paulo J. S. G. Ferreira

Part of the book: Signal Processing

Lossy-to-Lossless Compression of Biomedical Images Based on Image Decomposition

By Luís M. O. Matos, António J. R. Neves and Armando J. Pinho

The use of medical imaging has increased in the last years, especially with magnetic resonance imaging (MRI) and computed tomography (CT). Microarray imaging and images that can be extracted from RNA interference (RNAi) experiments also play an important role for large-scale gene sequence and gene expression analysis, allowing the study of gene function, regulation, and interaction across a large number of genes and even across an entire genome. These types of medical image modalities produce huge amounts of data that, for several reasons, need to be stored or transmitted at the highest possible fidelity between various hospitals, medical organizations, or research units.

Part of the book: Applications of Digital Signal Processing through Practical Approach

Access Control in the Wild Using Face Verification

By Ricardo Ribeiro, Daniel Lopes and António Neves

In the past few years, face recognition has received great attention from both research and commercial communities. Areas such as access control using face verification are dominated by solutions developed by both the government and the industry. In this chapter, a face verification solution is presented using open-source algorithms for access control of large-scale events under unconstrained environments. From the type of camera calibration to the algorithms used for face detection and recognition, every stage has a proposed solution. Tests using the proposed solutions in the entrance of a building were made in order to test and compare each solution proposed.

Part of the book: Intelligent Video Surveillance

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