One shot three-dimensional reconstruction of human anatomy and motion. This project aims to accurately estimate the three-dimensional (3D) structure of non-rigid human anatomy. Although computer vision has advanced the area of structure from motion, current approaches cannot accurately and densely reconstruct people. This project will create dense 3D reconstruction techniques which can manage non-rigid human anatomy using only two-dimensional images from medical imaging devices (X-rays and video ....One shot three-dimensional reconstruction of human anatomy and motion. This project aims to accurately estimate the three-dimensional (3D) structure of non-rigid human anatomy. Although computer vision has advanced the area of structure from motion, current approaches cannot accurately and densely reconstruct people. This project will create dense 3D reconstruction techniques which can manage non-rigid human anatomy using only two-dimensional images from medical imaging devices (X-rays and video sequences) in one shot – from a single image. This approach is expected to be used for the 3D visualisation of x-rays such as in clinical practice, human pose estimation, and 3D planning for orthopaedic minimally invasive surgery.Read moreRead less
View and shape invariant modeling of human actions for smart surveillance. This project aims to enable surveillance cameras to interpret videos and detect unexpected activity in real time. Existing surveillance cameras are unable to interpret videos. Because most are not monitored in real time, they play no role in improving security response time. The project plans to develop algorithms to detect actions from any camera viewpoint in continuous videos, a capability that is imperative for smart s ....View and shape invariant modeling of human actions for smart surveillance. This project aims to enable surveillance cameras to interpret videos and detect unexpected activity in real time. Existing surveillance cameras are unable to interpret videos. Because most are not monitored in real time, they play no role in improving security response time. The project plans to develop algorithms to detect actions from any camera viewpoint in continuous videos, a capability that is imperative for smart surveillance yet missing in current techniques. This would improve security and safety response time to events that need immediate attention, such as crimes and medical emergencies, and offer autonomous aids to elderly care, smart homes, child minding, patient monitoring and post-trauma rehabilitation.Read moreRead less