Advances in Real-Time Object Detection and Tracking
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".
Deadline for manuscript submissions: 15 June 2026 | Viewed by 572
Special Issue Editors
Interests: image fusion; visible; infrared; convolutional neural network; infrared pedestrian detection; encoder–decoder; attention; object detection; artificial intelligence; deep learning
Interests: point cloud data process; deep learning; object detection; artificial intelligence
Interests: plant phenotype; deep learning; object detection; artificial intelligence
Special Issue Information
Dear Colleagues,
Real-time object detection and tracking are core technologies driving innovations in intelligent systems, enabling rapid decision-making in dynamic environments across diverse industries. This Special Issue focuses on the latest advancements, challenges and practical implementations of real-time object detection and tracking, welcoming high-quality original research papers, reviews and technical notes that address both theoretical breakthroughs and real-world applications.
We invite submissions covering, but not limited to, the following topics:
- Innovations in real-time object detection algorithms;
- High-performance object tracking technologies;
- Deployment of real-time detection and tracking on edge computing/end-side devices ;
- Multi-modal fusion for real-time object detection and tracking;
- Multi-object detection and tracking;
- Complex scene adaptation technologies;
- Real-time object detection and tracking in remote sensing;
- Medical imaging-specific technical optimizations;
- Practical application deployment;
- Evaluation metrics, dataset construction and benchmark testing.
This Special Issue aims to bring together researchers, engineers and practitioners from computer science, engineering, medical imaging, remote sensing and related fields to share cutting-edge findings, discuss emerging challenges and promote the adoption of real-time object detection and tracking technologies across diverse domains.
We look forward to receiving your contributions.
Dr. Yunfan Chen
Dr. Jingmin Tu
Dr. Jie Li
Dr. Hyunchul Shin
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 250 words) can be sent to the Editorial Office for assessment.
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. Electronics 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
- real-time object detection
- real-time object tracking
- multi-object detection and tracking
- computer vision
- deep learning
- edge AI deployment
- multi-modal fusion
- medical image analysis
- remote sensing object detection
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