Object detection nowadays mainly relies on RGB (Red-Green-Blue) cameras. Captured images are processed to extract objects’ location, movement and status. Nevertheless, RGB cameras are sensitive to ambient conditions and/or lack of three-dimension (3D) spatial information. Instead, state-of-the-art 3D Light Detection and Ranging sensors (LiDAR) can provide high-resolution depth data under different ambient conditions. Compared to the image-level processing using the RGB camera counterparts, the centimetre-level 3D spatial information provides a higher degree of freedom of signal processing. Objects' location, movement direction and speed can then be analysed and extracted more accurately. The project aims to explore state-of-the-art 3D LiDAR and related digital signal processing technologies for object movement detection and extraction, particularly for inbed monitoring applications.