Abstract
Accidental falls among the elderly present serious health risks and are a significant concern, particularly for individuals living alone. Annually, approximately 2.8 million seniors require emergency medical attention due to fall-related injuries, highlighting the urgent need for effective fall detection and response mechanisms. While video-based fall detection systems tend to be more expensive than wearable solutions, their ability to integrate with smart home technologies enhances their practicality and real-time monitoring capabilities. This review systematically examines video-based fall detection methodologies, assessing their effectiveness, challenges, and constraints across different processing stages. Furthermore, we provide a comparative analysis of state-of-the-art techniques, identifying key advancements and potential areas for future research to improve reliability and accuracy.
