Video Surveillance System for Environmental Mobile Sensing
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Environmental Sensing".
Deadline for manuscript submissions: 31 December 2024 | Viewed by 147
Special Issue Editor
Interests: machine learning (artificial intelligence); pattern classification; time series; data analysis; data integration; health care; medical information systems; Big Data; Internet of Things; credit transactions; data handling; data mining; data structures; data warehouses; decision making; electronic data interchange; fraud; mobile computing; open systems; query processing; security of data; service-oriented architecture; unsupervised learning; web services; contracts
Special Issue Information
Dear Colleagues,
Object recognition and tracking is becoming more popular due to ongoing applications in the public sectors. One of the most common and cost-effective methods for object tracking is the use of homogenous and heterogeneous multi-sensor systems. Sensor-based object tracking can be used to monitor people and traffic movement in apartments, buildings, or even entire cities, in addition to autonomous vehicles (self-driving cars and robots) and individuals (motion capture, wearable sensors). These sensors could be vision-based, inertial measurement units (IMUs), LIDARs, or a variety of others, depending on the application.
- Inertial measurement units (IMUs)
- Motion capture
- Autonomous vehicles
- Simultaneous localization and mapping (SLAM)
- Computer vision
- Wearable sensors
Dr. Yehia Taher
Guest Editor
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