Autonomous vehicles (AVs) must share space with pedestrians, both in carriageway cases
such as cars at pedestrian crossings and off-carriageway cases such as delivery vehicles …

Today, computer vision algorithms are very important for different fields and applications,
such as closed-circuit television security, health status monitoring, and recognizing a …

Facial expression detection is a method to predict human facial emotions. This work is a
trending research topic that can be implemented for human-robot interaction. More recently …

The emergence of large vision models (LVMs) is following in the footsteps of the recent
prosperity of Large Language Models (LLMs) in following years. However, there'sa …

Face detection is crucial in the development of face recognition, expression, tracking, and
classification. Conventional methods have accuracy constraints on several challenging …

Current techniques for multi-pose human face matching yield suboptimal outcomes because
of the intricate nature of pose equalization and face rotation. Deep learning models, such as …

Facial recognition research is one of the different types of research in this world today. In
recent years, facial recognition in robots has attracted increased study interest. Robotic …

Complexities such as variations in pose, scale, speed, illumination, occlusion, etc., in
detecting the gesture object at the first frame and tracking it in a dynamic environment make …

Face detection plays an essential role in the success of the interaction between service
robots and consumers. This method is the initial stage for face-related applications. Practical …

Advances in robotics are part of reducing the burden associated with manufacturing tasks in
workers. For example, the cobot could be used as a “third-arm” during the assembling task …