Leveraging Video Situation Monitoring in Assisted Living Environment

Le résumé fourni par la source

Video situation monitoring is essential for various applications such as surveillance and monitoring and societal applications (e.g., senior care or Assisted Living (AL) monitoring). Quality of life can be significantly improved in AL environments if various situations (e.g., monitoring community engagement, inactivity for a long time, etc.) can be analyzed automatically. These situations are currently monitored using manual analysis or custom solutions. The manual analysis process uses human-in-the-loop to watch videos exhaustively, and it is not practical and scalable for videos with long duration. On the other hand, custom solutions require each situation to be predefined and typically use sensors, machine learning algorithms, Internet of Things devices, and others. A new algorithm or device must be developed for each situation type. This paper proposes an alternative approach for automated situation monitoring by posing situations as queries.

Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.