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Visual Sensor Networks for Object Detection and Tracking
This special issue belongs to the section “Sensor Networks“.
Special Issue Information
Dear Colleagues,
Information obtained through the human eye is more efficient and diverse for object recognition/tracking than information obtained through any other sensory organ. Recently, these kinds of tasks for visual object detection, recognition, and tracking are being enabled by more flexible vision sensors and its network scheme, such as the 5G standard. In addition, visual intelligence technology and inference systems based on deep/reinforcement learning are currently actively being researched to make vision systems more accurate. This issue will publish original technical papers and review papers on these recent technologies which are focusing on visual recognition, real-time visual object tracking, knowledge extraction, distributed visual sensor networks, and applications.
You are welcome to submit an unpublished original research work related to the theme of “Visual Sensor Networks for Object Detection and Tracking.”
Prof. Dr. Byung-Gyu Kim
Guest Editor
Manuscript Submission Information
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Keywords
- Intelligent object detection algorithms
- Fast and complexity reduction algorithms for real-time object detection and tracking
- Knowledge extraction and mining from visual sensor data
- Visual sensor network architecture for object detection and tracking
- Awareness-based visual sensor network design
- Intelligent machine learning mechanism for object detection and recognition
- Lightweight deep learning for real-time object detection and tracking
- Visual data representation and transmission in a 5G network
- Real-time visual object tracking in vision sensor network
- Intelligent CCTV applications
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Published Papers
Sensors - ISSN 1424-8220