67 results about "3d tracking" patented technology

Disclosed is a method and system for efficiently and accurately tracking three-dimensional (3D) human motion from a two-dimensional (2D) video sequence, even when self-occlusion, motion blur and large limb movements occur. In an offline learning stage, 3D motion capture data is acquired and a prediction model is generated based on the learned motions. A mixture of factor analyzers acts as local dimensionality reducers. Clusters of factor analyzers formed within a globally coordinated low-dimensional space makes it possible to perform multiple hypothesis tracking based on the distribution modes. In the online tracking stage, 3D tracking is performed without requiring any special equipment, clothing, or markers. Instead, motion is tracked in the dimensionality reduced state based on a monocular video sequence.

An object recognition system is described that incorporates swarming classifiers. The swarming classifiers comprise a plurality of software agents configured to operate as a cooperative swarm to classify an object in a domain as seen from multiple view points. Each agent is a complete classifier and is assigned an initial velocity vector to explore a solution space for object solutions. Each agent is configured to perform an iteration, the iteration being a search in the solution space for a potential solution optima where each agent keeps track of its coordinates in multi-dimensional space that are associated with an observed best solution (pbest) that the agent has identified, and a global best solution (gbest) where the gbest is used to store the best location among all agents. Each velocity vector changes towards pbest and gbest, allowing the cooperative swarm to concentrate on the vicinity of the object and classify the object.

A 3D tracking system is provided. The 3D tracking system includes at least one acoustic emission sensor disposed around an object. The acoustic emission sensor is configured to identify location of a probe inserted into the object based upon time of arrival of an acoustic signature emitted from a location on or near the probe. The 3D tracking system also includes a first sensor configured to detect an elevation of the probe. The 3D tracking system further includes a second sensor configured to detect an azimuth of the probe.

The present invention relates to a pixel detector (10), comprising a semiconductor sensor layer (12), in which charges can be generated upon interaction with particles to be detected. The semiconductor layer defines an X-Y-plane and has a thickness extending in Z-direction. The detector further comprises a read-out electronics layer (14) connected to said semiconductor layer (12), said read-out electronics layer (14) comprising an array of read-out circuits (20) for detecting signals indicative of charges generated in a corresponding volume of said semiconductor sensor layer (12). The neighboring read-out circuits (20) are connected by a relative timing circuit configured to determine time difference information between signals detected at said neighboring read-out circuits (20). The time difference information is indicative of a difference in the Z-components of the locations of charge generations in the corresponding neighboring sensor volumes caused by a particle trajectory that is inclined with respect to the X-Y-plane.

A medical imaging-based system and method uses both kV and MV images captured during a treatment period for organ motion tracking. 3D geometric locations of internal features are computationally tracked as a function of time from internal features, such as natural biological features or implanted fiducials, which are computationally extracted from the captured kV and MV images. A partial information method allows 3D tracking to be maintained in the event that imaging information is temporarily not available.

A bracket for use on an ultrasound transducer to releasably mount at least one 3D tracking sensor on the transducer. Each sensor has a pair of axially aligned pins projecting outward from its body. The bracket includes at least one socket having a pair of spaced-apart wall portions, each of which includes a slot arranged to receive a respective one of the pins of the sensor when the sensor is in a first position. From this position the sensor's body can be rotated to a second position, whereupon the spaced apart wall portions releasably engage (snap-fit about) a portion of the body of the sensor to deter the accidental displacement of the sensor with respect to the transducer.

Described herein is a method and system for marker-less three-dimensional modelling, fitting and tracking of a skeletal representation of an object in a three-dimensional point cloud. In particular, it concerns the tracking of a human user skeletal representation with respect to time. The method comprises inputting a three-dimensional point cloud derived from a depth map; predetermining a set of control points representing the skeleton of the user, determining a start-up skeleton pose, obtaining an orthographic representation of the user 3D point cloud projected onto a grid by sampling the 3D point cloud with a predetermined static size, determining a set of curvature centers points approximating central axes of main parts of the user, determining the torso plane, and refining and / or defining the principal direction of the body. The method comprises then the step of performing iterative local and global fittings of the set of control points onto the user 3D point cloud and the associated data such as the curvature center points, using topological and geometric constraints so that to track skeleton posture along the time. Stabilizing the skeleton pose; resolving ambiguities; and providing a suitable output are then the last steps of a preferred embodiment of the invention.

Methods and apparatus are described for monocular 3D human pose estimation and tracking, which are able to recover poses of people in realistic street conditions captured using a monocular, potentially moving camera. Embodiments of the present invention provide a three-stage process involving estimating (10, 60, 110) a 3D pose of each of the multiple objects using an output of 2D tracking-by detection (50) and 2D viewpoint estimation (46). The present invention provides a sound Bayesian formulation to address the above problems. The present invention can provide articulated 3D tracking in realistic street conditions.The present invention provides methods and apparatus for people detection and 2D pose estimation combined with a dynamic motion prior. The present invention provides not only 2D pose estimation for people in side views, it goes beyond this by estimating poses in 3D from multiple viewpoints. The estimation of poses is done in monocular images, and does not require stereo images. Also the present invention does not require detection of characteristic poses of people.

The present invention relates to a device and method for verification of the quality of a radiation beam in conformal radiation therapy, and in particular for IMRT (Intensity Modulated Radiation Therapy) applications. The actual 3D dose distribution in the patient is tracked during the course of the entire treatment by reconstructing the photon fluences from measured 2D detector responses during irradiation in conjunction with updated patient images.