Mobile target tracking with artificial intelligence (AI) approaches such as deep reinforcement
learning (DRL) in edge-assisted Internet of Things (Edge-IoT) platform can be promising. In …

Real-time image-based object tracking from live video is of great importance for several
smart city applications like surveillance, intelligent traffic management and autonomous …

The Internet of Things (IoT)-based target tracking system is required for applications such as
smart farm, smart factory, and smart city where many sensor devices are jointly connected to …

Mobile object tracking, which has broad applications, utilizes a large number of Internet of
Things (IoT) devices to identify, record, and share the trajectory information of physical …

Unmanned aerial vehicles (UAVs) have increased the convenience of urban life.
Representing the recent rapid development of drone technology, UAVs have been widely …

In recent years, considerable effort has been recently exerted to explore the high-precision
RF-tracking systems indoors to satisfy various real-world demands. However, such systems …

The empowering unmanned aerial vehicles (UAVs) have been extensively used in providing
intelligence such as target tracking. In our field experiments, a pretrained convolutional …

As the Internet-of-Things (IoT) and edge computing have been major paradigms for
distributed data collection, communication, and processing, smart city applications in the …

In manufacturing industry, the movement of manufacturing resources in production logistics
often affects the overall efficiency. This research is motivated by a world-leading air …

Balancing the trade-off between real-time performance and accuracy in object tracking is a
major challenge. In this paper, a novel dynamic policy gradient Agent-Environment …