Abstract: A method of recognizing gestures of a person from at least one image from a monocular camera, e.g. a vehicle camera, includes comp the steps: a) detecting key points of the person in the at least one image, b) connecting the key points to form a skeleton-like representation of body parts of the person, wherein the skeleton-like representation represents a relative position and a relative orientation of the respective body parts of the person, c) recognizing a gesture of the person from the skeleton-like representation of the person, and d) outputting a signal indicating the gesture.

Abstract: The invention relates to a method and a device for recognizing gestures by means of a monocular camera and can be used in particular in vehicle cameras of a partly autonomously driven vehicle. The method for recognizing gestures of a person from at least one image from a monocular camera comprises the steps: a) detecting key points of a person in the at least one image from the monocular camera, b) connecting key points to a skeleton-like representation of parts of the person, wherein the skeleton-like representation reflects the relative position and orientation of individual body parts of the person, c) recognizing a gesture from the skeleton-like representation of the person, and d) outputting the gesture recognized.

Abstract: This disclosure relates to methods for non-destructively inspecting an object, wherein electromagnetic radiation is passed through the object and intensity values of unabsorbed beams are measured and evaluated.

Abstract: Systems and methods for modeling are provided. The method can include acquiring scan data associated with a plurality of x-ray projections of an item. The method can further include determining at least one closed boundary curve associated with the item. For example, the method can determine a first maximum area based on the scan data and determine at least one edge of the first maximum area. The method can further generate a model of the item using the closed boundary curve and a first material specific parameter for a material within the closed boundary curve. The method can utilize the model to generate computed scan data, compare the computed scan data to the scan data, and determine a goodness of fit. The method can further adjust the model of the item by altering at least one of the closed boundary curve and the material specific parameter.

Abstract: The invention relates to a method for non-destructively inspecting an object (104), wherein electromagnetic radiation (113, 123, 133) is passed through the object (104) and intensity values of unabsorbed beams are measured and evaluated, the method comprising the following steps: generating a three-dimensional data set (300) in which a first material quantity value corresponding to a first material property of the object (104) is associated in each case with individual spatial elements (301) of the object (104) by means of a computed tomography method; determining an inspection space (310), in the three-dimensional data set (300) representing the object (104), which has spatial elements (301) whose first material quantity value is in a predetermined value range; deriving values, based on the three-dimensional data set (300), which in each case correspond to a spatial geometric quantity of the inspection space (310) in a predetermined projection direction (PR1, PR2); generating a two-dimensional data set (400)

Abstract: A method and apparatus is provided for detection of a particular material in an object, in particular in an item of luggage, by means of electromagnetic radiation in which the intensities of non-absorbed radiation from at least three radiation planes are measured and evaluated in associated detector apparatus, wherein an image is produced, initially from the intensities of the non-absorbed radiation, and then if single regions of low complexity are found which are characterized by approximately constant intensities, an estimation of the attenuation coefficient s performed and a material detection is carried out in the region according to an algorithm which calculates a three-dimensional reconstruction from different views.

Abstract: A method of analyzing a target item utilizing multiple scanners is disclosed. The method can include providing an item comprising a material. The method can further include acquiring a first set of scan data associated with the item using a first scanner, and acquiring a second set of scan data associated with the item using a second scanner. The method can further include generating a first set of transform data from the first set of scan data, analyzing the first set of transform data to identify a subset of the first set of transform data associated with a first region, and analyzing the second set of scan data to identify a subset of the second set of scan data associated with a second region.

Abstract: An imaging system comprises a transmitter (24, 25), a receiver (24, 25, 21), and a controller (20) for directing the transmitter and the receiver to scan an object in a volume. The controller determines which sub-volumes of the volume the object is located within and then performs a fine scan in those sub-volumes. This reduces overall scanning time. The controller (20) may compare a received signal sample magnitude from the initial scan with a threshold to make the decision. The initial scan may be performed with a spot size to include only one or more particular volume elements within at least some of the sub-volumes.

Abstract: Systems and methods for modeling are provided. The method can include acquiring scan data associated with a plurality of x-ray projections of an item. The method can further include determining at least one closed boundary curve associated with the item. For example, the method can determine a first maximum area based on the scan data and determine at least one edge of the first maximum area. The method can further generate a model of the item using the closed boundary curve and a first material specific parameter for a material within the closed boundary curve. The method can utilize the model to generate computed scan data, compare the computed scan data to the scan data, and determine a goodness of fit. The method can further adjust the model of the item by altering at least one of the closed boundary curve and the material specific parameter.

Abstract: An imaging system comprises a transmitter (24, 25), a receiver (24, 25, 21), and a controller (20) for directing the transmitter and the receiver to scan an object in a volume. The controller determines which sub-volumes of the volume the object is located within and then performs a fine scan in those sub-volumes. This reduces overall scanning time. The controller (20) may compare a received signal sample magnitude from the initial scan with a threshold to make the decision. The initial scan may be performed with a spot size to include only one or more particular volume elements within at least some of the sub-volumes.

Abstract: A method and apparatus is provided for detection of a particular material in an object, in particular in an item of luggage, by means of electromagnetic radiation in which the intensities of non-absorbed radiation from at least three radiation planes are measured and evaluated in associated detector apparatus, wherein an image is produced, initially from the intensities of the non-absorbed radiation, and then if single regions of low complexity are found which are characterized by approximately constant intensities, an estimation of the attenuation coefficient s performed and a material detection is carried out in the region according to an algorithm which calculates a three-dimensional reconstruction from different views.