Device-free localization and tracking techniques are emerging as valuable technologies for indoor environments, where individuals should not be burdened with carrying specific devices or actively participating in the localization process [31]. Unlike traditional localization methods that require target subjects to carry smartphones, RFID tags, or other sensing devices, device-free approaches rely on detecting disturbances in the ambient environment caused by human presence and movement. These disturbances can be captured through various sensing modalities, including radio frequency (RF) signals, computer vision systems, and Internet of Things (IoT) sensor networks.