Submission Deadline: 31 August 2026 View: 108 Submit to Special Issue
Prof. Nikos Petrellis
Email: npetrellis@uop.gr
Affiliation: Department of Electrical and Computer Engineering, University of Peloponnese, Patras, 26334, Greece
Research Interests: design of embedded systems for telecommunications, medical and automation applications, mobile applications based on image processing and machine learning (image segmentation, classification), mixed signal design (A/D converters)
Assoc. Prof. Christos Antonopoulos
Email: ch.antonop@uop.gr
Affiliation: Department of Electrical and Computer Engineering, University of Peloponnese, Patras, 26334, Greece
Research Interests: wireless networks, network communication protocols, network simulation and performance evaluation, embedded software and sensor networks, wireless broadband access networks, embedded system architecture and programming, cross-layer protocols, wireless networks power optimization, internet of things, cyber-physical systems
Several Artificial Intelligence (AI) and Machine Learning (ML) methods have been proposed to recognize and classify objects. Once an object is recognized, its key features can be extracted to analyze its condition and model its interaction with the environment. For example, in an application that monitors human expressions, the human face must first be localized in an image, and then shape alignment can be performed to recognize the facial expression based on the distance between shape landmarks. Similarly, in an application that monitors human pose, the body must first be localized, and then pose estimation is applied to classify the body position. Monitoring the tracking of objects (vehicles, humans, animals, etc.) in video frames is also important in various applications. Recognizing the direction or orientation of an object may also be necessary.
In this Special Issue, we are interested in modelling techniques for object tracking and morphological feature extraction. The effectiveness of these modelling approaches can be demonstrated with case studies from various domains such as traffic control, healthcare applications, etc.
This Special Issue of Computer Modeling in Engineering & Sciences provides a forum for presenting novel approaches for object tracking and feature extraction on images and video streams captured on land, in the air, and from underwater cameras, mobile devices, machine vision systems, and IoT sensors. Original research articles and review papers are both welcome.
Potential topics include, but are not limited to, the following:
· AI or ML Models for Object Detection
· AI or ML Models for Object Direction and Orientation Recognition
· AI or ML Models for Object Tracking
· AI or ML Models for Object Shape Alignment
· Object Tracking and Morphological Feature Extraction Modelling for Primary Sector Applications
· Object Tracking and Morphological Feature Extraction Modelling for Traffic Control and Autonomous Vehicles
· Object Tracking and Morphological Feature Extraction Modelling for Health Monitoring Applications
· Object Tracking and Morphological Feature Extraction Modelling for Education
· Hardware-Accelerated Object Detection and Tracking
· Hardware-Accelerated Shape Alignment for Morphological Feature Extraction
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