The task of object detection and tracking is one of the most complex and challenging
problems in artificial intelligence (AI) systems that model perception. Object tracking has …

In contemporary security detection systems, the utilization of millimeter-wave radar has
assumed a central role owing to its non-contact and innocuous nature. This study addresses …

Visible infrared person reidentification (VI-REID) plays a critical role in night-time
surveillance applications. Most methods attempt to reduce the cross-modality gap by …

Concealed object detection in millimeter wave (MMW) images has gained significant
attention in the realm of public safety, primarily due to its distinctive advantages of non …

Automatically detecting dangerous concealed objects in the millimeter-wave images is
important for imaging-aided security systems. In this paper, we proposed a normalized …

The popularity of image editing techniques and user-friendly editing software have seriously
reduced the authenticity of the images. Detection and localization of image manipulations …

Security has emerged as a significant concern in today's world, particularly in public places
such as railway stations, airports, shopping malls, and crowded areas. Unattended object …

Recently, plenty of millimeter-wave image concealed object detection models have
achieved superior performance on benchmark datasets. The success of these models …

In video surveillance, real-time detection of hidden or concealed objects under the clothes of
humans is a challenging task. Very few research works have been carried out on this hidden …

Recently, terahertz imaging technology has shown widespread potential applications in the
public security screening field. Previous terahertz hazardous object detection techniques …