A control apparatus including an extraction unit configured to extract a subject from an image captured by an image capturing apparatus, an estimation unit configured to estimate a skeleton of the subject extracted by the extraction unit and a control unit configured to control an angle of view of the image capturing apparatus based on a result of the estimation by the estimation unit.

Systems and methods of detecting and identifying objects are provided. In one exemplary embodiment, a method performed by one of a plurality of network nodes, with each network node having an optical sensor and being operable to wirelessly communicate with at least one other network node, comprises sending, by a network node over a wireless communication channel, to another network node, an indication associated with an object that is detected and identified by the network node based on one more images of that object that are captured by the optical sensor of the network node. Further, the detection and identification of the object is contemporaneous with the capture of the one or more images of that object. Also, the network node is operable to control a spatial orientation of the sensor so that the sensor has a viewing angle towards the object.

Handwheel systems, including control consoles incorporating handwheels of the inventive subject matter, are described in this application. Handwheels described in this application can be used to control remotely located motors, especially those configured to control camera movements. To make it easier for camera operators to control remotely located motors using handwheels, those handwheels can be incorporated into a control console. Control consoles of the inventive subject matter can include several dials, toggle buttons, a display, and a variety of different inputs and outputs.

Method and control unit for reducing a blind spot created by a field of view adjustment of a vehicle comprised presentational device intended to display objects outside a driver's direct field of vision. The method comprises: detecting the blind spot of the presentational device, based on signals received from at least one first sensor associated with the presentational device; adjusting at least one second sensor, not associated with the presentational device, in order to cover at least a part of the detected blind spot; and outputting information captured by the adjusted at least one second sensor.

The invention provides for a medical apparatus (100, 300, 400) comprising a subject support (102) configured for moving a subject (106) from a first position (124) to a second position (130) along a linear path (134). The subject support comprises a support surface (108) for receiving the subject. The subject support is further configured for positioning the subject support in at least one intermediate position (128). The subject support is configured for measuring a displacement (132) along the linear path between the first position and the at least one intermediate position. Each of the at least one intermediate position is located between the first position and the second position. The medical apparatus further comprises a camera (110) configured for imaging the support surface in the first position. Execution of machine executable instructions 116 cause the a processor (116) controlling the medical apparatus to: acquire (200) an initial image (142) with the camera when the subject support is in the first position; control (202) the subject support to move the subject support from the first position to the second position; acquire (204) at least one intermediate image (144) with the camera and the displacement for each of the at least one intermediate image as the subject support is moved from the first position to the second position; and calculate (206) a height profile (150, 600, 604) of the subject by comparing the initial image and the at least one intermediate image. The height profile is at least partially calculated using the displacement. The height profile is descriptive of the spatially dependent height of the subject above the support surface.

An image-capturing apparatus according to the present invention includes: an image sensor; a gaze detecting sensor configured to detect a gaze of a user; and at least one memory and at least one processor which function as: an object-detecting unit configured to detect an object from an image captured by the image sensor; and a control unit configured to, if the object-detecting unit detects an object of a specific type in a case where a state of the gaze detecting sensor is a first state for detecting the gaze, change the state of the gaze detecting sensor to a second state in which an electric power consumption of the gaze detecting sensor is less than in the first state.

A telesurgical mentoring platform with a wheeled base, a lower rack mounted on the base, an upper rack extending vertically from the lower rack, a compactly foldable articulated arm that is configured to extend horizontally outward away from the upper rack and configured to connect to a connector piece holding an end effectuator at its distal end, a tablet personal computer; the console configured to be readily mobilized on the floor of an existing operating room and is capable of providing a connectivity point for communication, audiovisual, and data transfer services in an operating room.

A drawn agricultural implement includes a main frame and a plurality of ground engaging units supporting the main frame from a ground surface. A working unit is supported from the main frame and configured to engage crops as the implement moves in a forward direction across the ground surface. A draft tongue extends from the main frame for attachment to a tractor. A camera having a field of view is mounted on at least one of the draft tongue, the main frame and the working unit. The camera is movable relative to the at least one of the draft tongue, the main frame and the working unit to reposition the field of view.

The present disclosure relates to systems and methods for determining automatically a target field angle of an image capturing device. The method may include obtaining, by the image capturing device, at least two images for determining a target field angle of the image capturing device. The method may also include obtaining a field angle range of the image capturing device. Further, the method may include determining the target field angle by matching the at least two images based on the field angle range.

In some examples, an unmanned aerial vehicle (UAV) employs one or more image sensors to capture images of a scan target and may use distance information from the images for determining respective locations in three-dimensional (3D) space of a plurality of points of a 3D model representative of a surface of the scan target. The UAV may compare a first image with a second image to determine a difference between a current frame of reference position for the UAV and an estimate of an actual frame of reference position for the UAV. Further, based at least on the difference, the UAV may determine, while the UAV is in flight, an update to the 3D model including at least one of an updated location of at least one point in the 3D model, or a location of a new point in the 3D model.