In machine learning, the model is not as complicated as possible. Good generalization
ability means that the model not only performs well on the training data set, but also can …

Most existing approaches address multi-view subspace clustering problem by constructing
the affinity matrix on each view separately and afterwards propose how to extend spectral …

Human Action Recognition (HAR) is the classification of an action performed by a human.
The goal of this study was to recognize human actions in action video sequences. We …

Human action recognition (HAR) has gained significant attention recently as it can be
adopted for a smart surveillance system in Multimedia. However, HAR is a challenging task …

Human pose recovery in videos is usually conducted by matching 2-D image features and
retrieving relevant 3-D human poses. In the retrieving process, the mapping between …

Abnormal activity recognition is a challenging task in surveillance videos. In this paper, we
propose an approach for abnormal activity recognition based on graph formulation of video …

Introducing a handful of pairwise constraints into fuzzy clustering models to revise
memberships has been proven beneficial to boosting clustering performance. However …

Micro-expressions are the rapid movements of facial muscles that can be used to reveal
concealed emotions. Recognizing them from video clips has a wide range of applications …

In the era of Internet of Medical Things (IoMT), healthcare monitoring has gained a vital role
nowadays. Moreover, improving lifestyle, encouraging healthy behaviours, and decreasing …

The low-cost depth cameras have facilitated the research of human action recognition in the
last decades. Despite various approaches have been presented to improve the recognition …