The deep learning technique has proven to be effective in the classification and localization
of objects on the image or ground plane over time. The strength of the technique's features …

Drones equipped with cameras (UAVs) can dynamically track the target in the air from a
broader view compared with static cameras or moving sensors over the ground. However, it …

We propose a system to recognize purchasing behavior by detecting and tracking products
in real time using only camera sensors in an unmanned product cabinet. To detect and track …

Modern tracking problems require fast, scalable, and robust solutions for tracking multiple
targets from noisy sensor data. In this article, an algorithm that has linear computational …

In many applications, sensors that map the positions of objects in unknown environments
are installed on dynamic platforms. As measurements are relative to the observer's sensors …

The number of nodes in sensor networks is continually increasing, and maintaining accurate
track estimates inside their common surveillance region is a critical necessity. Modern …

Surveillance activities with ground-based assets in the context of space situational
awareness are particularly challenging. The observation process is indeed hindered by …

Fluorescence microscopy is a technique which allows the imaging of cellular and
intracellular dynamics through the activation of fluorescent molecules attached to them. It is …

Having an efficient onboarding process is a pivotal step to utilize and provision the IoT
devices for accessing the network infrastructure. However, the current process to onboard …

This paper is concerned with the precise calibration algorithm and error compensation
technique for a binocular vision measurement system. By invoking a fixed constraint …