Multi-target tracking is one of the most challenging tasks in computer vision. Several
complex techniques have been proposed in the literature to tackle the problem. The main …

Received Signal Strength Indication (RSSI) is commonly used to provide distance estimates
in range-based localization. In most cases, the localization systems use RSS at short range …

Nowadays with the evolution of Internet of Things (IoT), building a network of sensors for
measuring data from remote locations requires a good plan considering a lot of parameters …

We propose a novel device-free localization technique for human-object tracking indoors
using wireless radiofrequency fingerprint. The received signal-strength indicators (RSSIs) …

In this paper, an indoor localization method based on AP and local linear regression
algorithm is presented. The method mainly makes use of Wi-Fi signal strength values …

Internet of Things (IoT) systems, along with Machine Learning (ML) and Artificial Intelligence
(AI), performed well in present systems. For location-based IoT systems, it is vital to …

Wireless sensor network technology offers endless possibilities for innovative solutions for
different security and intrusion detection and recognition applications. By distributing …

A method to locate the position of the user in an indoor environment employing Bayesian
theory is presented in this paper. A detailed analysis of the positional accuracy is carried out …

Machine Learning (ML) based Indoor Positioning Systems (IPS) are more efficient than other
classical localization algorithms developed. Rather, efficiency these ML based IPS are easy …

Currently, emplacement information is a critical technology that is used by many services.
Given that nowadays, Received Signal Strength Indicator (RSSI)-based localization …