Surveillance system is acquiring an ample interest in the field of computer vision. Existing
surveillance system usually relies on optical or wearable sensors for indoor and outdoor …

Human activity recognition (HAR) remains an essential field of research with increasing real-
world applications ranging from healthcare to industrial environments. As the volume of …

Human-Object Interaction (HOI) recognition, due to its significance in many computer vision-
based applications, requires in-depth and meaningful details from image sequences …

Automatic systems to monitor people and subsequently improve people's lives have been
emerging in the last few years, and currently, they are capable of identifying many activities …

One of the most common health risks for senior citizens is a falling event, and to reduces the
risk of death, a fall needs to be quickly reported. Thus, automatic fall detection systems were …

As the proportion of elderly individuals in developed countries continues to rise globally,
addressing their healthcare needs, particularly in preserving their autonomy, is of paramount …

As people get older, living at home can expose them to potentially dangerous situations
when performing everyday actions or simple tasks due to physical, sensory or cognitive …

This paper proposes three novel feature extraction approaches for human activity
recognition in videos. The proposed solutions are based on video coding concepts including …

Privacy and false fall detection pose a significant challenge within the current camera-based
human activity monitoring research. In response, we propose a solution that leverages the …

In assisted living facilities or nursing homes, residents' movements or actions can be
monitored using Human Activity Recognition (HAR), ensuring they receive proper care and …