With the recent advances in RGB-D devices and deep learning models, video-based health monitoring approch (e.g., fall detection) is promising to provide valuable support for ageing and frail populations. We are interested in developing image processing and deep learning algorithms and software infrastructure to conduct real-time video data analysis. This project focuses on applying/developing advanced image/video processing and deep learning models for activity recognition and fall detection. |