With the rapid development of the Internet short-video platform, microvideo is increasingly
attracting users because of its small traffic and time period. However, the content of …

Reliably discerning real human faces from fake ones, known as antispoofing, is crucial for
facial recognition systems. While neuromorphic systems offer integrated sensing-memory …

In emotion studies, critiques of the use of a static facial expression have been directed to its
resulting from poor ecological validity. We conducted a study of studies in the present work …

Security surveillance of home or office premises is usually performed by deploying a number
of video cameras to continuously monitor the environment. Such monitoring has a potential …

Face Recognition aims at identifying or confirming an individual's identity in a still image or
video. Towards this end, machine learning and deep learning techniques have been …

Numerous domains, including safety, health, and human-machine interfaces, have garnered
significant attention from researchers. Within this field, there is a notable interest in …

Few shot classification is the task of classifying unseen classes having only a few samples of
each of these unseen classes. A traditional approach of using the transfer learning on the …

Several researchers are currently investigating the subject of person recognition; however
there are some areas that even the researchers have not explored. One of these areas is …

Accurate recognition of person identity is a critical task in civil society for various application
and different needs. There are different well-established biometric modalities that can be …

IntruderWatch is an innovative smart closed-circuit television (CCTV) system engineered to
revolutionize intrusion detection through the application of cutting-edge computer vision …