Vision-based Human activity recognition is becoming a trendy area of research due to its
wide application such as security and surveillance, human–computer interactions, patients …

Automatic identification of human interaction is a challenging task especially in dynamic
environments with cluttered backgrounds from video sequences. Advancements in computer …

Vision-based Human activity recognition is becoming a trendy area of research due to its
broad application such as security and surveillance, human–computer interactions, patients …

Rapid growth and recent developments in education sector and information technologies
have promoted E-learning and collaborative sessions among the learning communities and …

Due to the constantly increasing demand for automatic tracking and recognition systems,
there is a need for more proficient, intelligent and sustainable human activity tracking. The …

To understand human to human dealing accurately, human interaction recognition (HIR)
systems require robust feature extraction and selection methods based on vision sensors. In …

Tracking human activities and analyzing their effect in real life settings has become a task of
high interest within the computer vision field as it enable many industrial and commercial …

Advances in video capturing devices enable adaptive posture estimation (APE) and event
classification of multiple human-based videos for smart systems. Accurate event …

Featured Application The proposed technique is an application for people detection and
counting which is evaluated over several challenging benchmark datasets. The technique …

An optical flow based approach for recognizing human actions and human-human
interactions in video sequences has been addressed in this paper. We propose a local …