Successful efforts in hand gesture recognition research within the last two decades paved
the path for natural human–computer interaction systems. Unresolved challenges such as …

Hand gesture recognition is viewed as a significant field of exploration in computer vision
with assorted applications in the human–computer communication (HCI) community. The …

Background modeling and foreground detection are important steps in video processing
used to detect robustly moving objects in challenging environments. This requires effective …

The paper provides a specific perspective view on background subtraction for moving object
detection, as a building block for many computer vision applications, being the first relevant …

The dual stream-based human action recognition model offers the advantage of high
recognition accuracy, but the algorithm is less robust in case of lighting changes. The human …

The rapid growth of the internet has reached the fourth generation, ie, web 4.0, which
supports Sentiment Analysis (SA) in many applications such as social media, marketing, risk …

The use of hand gestures can be a useful tool for many applications in the human-computer
interaction community. In a broad range of areas hand gesture techniques can be applied …

Due to its wide applications in practice, face recognition has been an active research topic.
With the availability of adequate training samples, many machine learning methods could …

Though deep neural networks have played a very important role in the field of vision-based
hand gesture recognition, however, it is challenging to acquire large numbers of annotated …

This paper introduces principal motion components (PMC), a new method for one-shot
gesture recognition. In the considered scenario a single training video is available for each …