Image Processing and Sensing Technologies for Object Detection
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensing and Imaging".
Deadline for manuscript submissions: 30 July 2024 | Viewed by 651
Special Issue Editors
Interests: object detection; object tracking; deep learning (artificial intelligence); image classification; pedestrians; video signal processing; computer vision
Interests: recommendation system; graph neural network theory
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The field of object detection has garnered significant attention because of its extensive range of practical uses. Over recent years, the advancement of deep neural networks has significantly enhanced the effectiveness of object detection systems, as noted in studies. Despite these detectors demonstrating outstanding performance on standardized datasets, real-world object detection has continued to confront formidable challenges stemming from factors such as diverse viewpoints, variations in object appearances, complex backgrounds, lighting conditions, image quality, and more.
This Special Issue therefore aims to compile original research and review articles on recent advances, technologies, solutions, applications, and new challenges in the field of object detection.
Potential topics include, but are not limited to, the following:
- Object detection in domain adaptation;
- Objection detection in domain generalization;
- Long-tailed object detection and tracking;
- Weak-supervised object detection;
- Few-shot object detection;
- Object detection and tracking;
- Object detection for sensing;
- Object detection;
- Detection sensors for presence and shape control purposes.
Prof. Dr. Zhigang Luo
Dr. Junyang Chen
Guest Editors
Manuscript Submission Information
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Keywords
- detection sensors
- object detection
- object tracking
