Advanced Technologies Applied for Object Detection and Tracking
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: 20 November 2025 | Viewed by 53
Special Issue Editors
Interests: ML/AI; AI for science; edge–cloud computing continuum; object detection; target tracking
Interests: machine learning; computer vision; biometrics; AI for education
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The availability of low-cost cameras and the ubiquitous deployment of cameras for safety and security, revolutionary development of machine learning algorithms, and advanced small computing devices drive forward the use of visual data for solving various research problems using object detection and tracking. To utilize object detection and tracking methods to support research, dynamic and real-time visual data processing is required. To achieve dynamic and real-time data processing while heavy and high-volume data are published, advanced technologies for offloading through the computing continuum are used, which consist of diverse computing layers such as edge, fog, cloud, and other kind of computing systems. This Special Issue will address research on diverse science areas that explore advanced technologies for object detection and tracking to support research problems. We would also like to invite authors to address the challenges in object detection and tracking, and to develop specific case studies.
Submissions can address, but are not limited to, the following topics:
- Advanced Deep Learning Architectures for Object Detection and Tracking;
- Multi-Sensor Fusion for Object Detection and Tracking;
- Object Detection and Tracking in Video Surveillance with Cloud and Edge Computing Support;
- Anomaly Detection in Object Tracking;
- Challenges and Solutions for Object Detection and Tracking in Adverse Environments;
- Real-Time Object Detection and Tracking for Autonomous Vehicles;
- Object Detection and Tracking in Robotics Applications;
- Case Studies of Object Detection and Tracking in Smart Cities.
Dr. Seongha Park
Dr. Xavier Baró
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- edge computing
- AI at the edge
- edge–cloud computing continuum
- machine learning
- AI for science
- object detection
- object tracking
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