The Science of Video: A Review of Human Activity Recognition Techniques

Human Activity Recognition (HAR) from video data has gained significant attention due to its wide-ranging applications in fields like security surveillance, healthcare, and human-computer interaction. Recognizing and categorizing human behaviours and movements from video footage is a challenging task due to the complexity and diversity of human actions. Real-time processing is essential for HAR systems to effectively monitor and analyse human behaviours in real-world contexts. This study aims to analyse different HAR method and enumerate and talk about the difficulties and restrictions of the methods used for HAR nowadays. The significance of this study lies in its potential to enhance safety, security, healthcare monitoring, and human-computer interaction by addressing key challenges in HAR and paving the way for future advancements and applications.