Abstract: Disclosed is a method for controlling access for at least one tracked object, including: acquiring or receiving a series of two-dimensional images assumed to be taken of the at least one tracked object, and also position data in respect of the at least one tracked object; assigning a unique tracking identifier to the at least one tracked object; determining a trajectory of the at least one tracked object from the position data; determining if there is a discontinuity in the trajectory or data computed from the trajectory, and if a discontinuity is detected, acquiring or receiving one or more new images of the at least tracked object, and assigning a new unique tracking identifier to said at least one tracked object; and determining whether access should be allowed, on the basis of at least one of the one or more new images if discontinuity is detected, or on the basis of the at least one image from the series of two-dimensional images if discontinuity is not detected.

Abstract: A device for verifying a subject includes: a device body comprising a processor and a biometric system; wherein the biometric system comprises a first image capture device and a second image capture device, in which the first image capture device is configured to define a spatial region and the second image capture device is configured to capture an image of a subject within said spatial region, and the processor is configured to conduct an identification process on the captured image of the subject within the spatial region.

Abstract: A method of real-time markerless measurement and calibration of a patient positioning system includes computing a three dimensional point cloud representation of a patient by using a camera to obtain depth points of the patient, where the z-direction corresponds to a direction along the focal length of the camera, demanding a z-limit that corresponds to a lower (z-min) and an upper (z-max) specification, computing a point cloud covariance and a point cloud mean for an optimized principle components analysis to compute a torso topography of the patient, determining a center point of the point cloud as an anchor measurement region and using the camera to determine a distance to the patient to establish an angle between a patient torso and a vector that is perpendicular to the camera, averaging the depth measurements in reference regions and compensating for parallax error in real-time during a calibration measurement or radiotherapy treatment plan.