In recent years, visual object tracking has become a very active research area. An
increasing number of tracking algorithms are being proposed each year. It is because …

In self-supervised learning one trains a model to solve a so-called pretext task on a dataset
without the need for human annotation. The main objective, however, is to transfer this …

Although not commonly used, correlation filters can track complex objects through rotations,
occlusions and other distractions at over 20 times the rate of current state-of-the-art …

Massive open online courses and other forms of remote education continue to increase in
popularity and reach. The ability to efficiently proctor remote online examinations is an …

Complex-valued neural networks Complex-Valued Neural Networks Page 2 IEEE Press 445
Hoes Lane Piscataway, NJ 08854 IEEE Press Editorial Board 2013 John Anderson, Editor in …

In recent years, correlation-filter (CF)-based face recognition algorithms have attracted
increasing interest in the field of pattern recognition and have achieved impressive results in …

In this paper, we address the issue of producing cancelable biometric templates; a
necessary feature in the deployment of any biometric authentication system. We propose a …

Zafman LLP (57) ABSTRACT According to one embodiment, a system includes a handheld
device having a pixelated sensor, an optical filter for passing a predetermined frequency …

In this paper we propose an algorithm that can easily be implemented on small form factor
devices to perform illumination normalization in face images captured under various lighting …

Two-dimensional (2-D) face recognition (FR) is of interest in many verification (1: 1
matching) and identification (1:N matching) applications because of its nonintrusive nature …