The technology disclosed relates to relates to providing command input to a machine under control. It further relates to gesturally interacting with the machine. The technology disclosed also relates to providing monitoring information about a process under control. The technology disclosed further relates to providing biometric information about an individual. The technology disclosed yet further relates to providing abstract features information (pose, grab strength, pinch strength, confidence, and so forth) about an individual.

The technology disclosed relates to relates to providing command input to a machine under control. It further relates to gesturally interacting with the machine. The technology disclosed also relates to providing monitoring information about a process under control. The technology disclosed further relates to providing biometric information about an individual. The technology disclosed yet further relates to providing abstract features information (pose, grab strength, pinch strength, confidence, and so forth) about an individual.

A photographing device stabilizer includes a clamping member, an object tracking member, and a control member. The object tracking member is fixedly connected to a photographing device by the clamping member; a distance between the object tracking member and a camera of the photographing device is less than or equal to a preset distance threshold, and is consistent with the orientation of the camera; the object tracking member is used for obtaining detection information of an oriented position, and sending a tracking movement instruction to the control member according to position information by means of the network connection when position information of a target object is obtained according to the detection information; the control member is used for performing position adjustment control according to the position information when the tracking movement instruction is received, so that the camera of the photographing device is oriented towards the target object.

A VCSEL projector and method for using the same are disclosed. In one embodiment, the apparatus comprises a vertical cavity surface emitting laser (VCSEL) array comprising a plurality of VCSELs; a micro-lens array coupled to the VCSEL array and having a plurality of lenses, and each of the plurality of lenses is positioned over a VCSEL in the VCSEL array; and a projection lens coupled to the micro-lens array (MLA), where light emitted by the VCSEL array is projected as a sequence of patterns onto an object by the projection lens.

A system, computer-readable storage medium and method of reflection seismic survey in a wireless seismic network within a survey area is described. The method includes detecting, in each of a plurality of wireless seismic sensor nodes, seismic reflection signals from a seismic energy source; recording, in each of a plurality of wireless geophones, detected seismic signals; transmitting, by the geophones, the recorded seismic signals as digital data, using a combination of Orthogonal Frequency-Division Multiple Access (OFDMA) and Time Division Multiple Access (TDMA), to a central data receiving device; changing the seismic energy source location for seismic reflection; and repeating the detecting, recording and transmitting a number of times for each change in seismic energy source.

An optical receiver (100) for detection of light from one or more sources (108) comprises an opaque layer (102) disposed on a first surface. An aperture (104) is formed in the opaque layer. An optical detector (106) has a detection region disposed on a second surface. The first and second surfaces are spaced apart from one another such that light passing through the aperture (104) illuminates a corresponding illumination region (110) on the second surface, and is detected by the optical detector (106) In the event that the detection region overlaps the illumination region. Multiple apertures may be formed in the opaque layer, and/or multiple optical detectors may be disposed on the second surface. The optical receiver may thereby enable optical signals originating at different locations to be detected, and distinguished, over a wide field of view.

Systems and methods for tracking moving objects in accordance with embodiments of the invention are disclosed. In one embodiment of the invention, an object tracking system comprises a processor, a communications interface, and a memory configured to store an object tracking application. The object tracking application configures the processor to receive a sequence of images; estimate and subtract background pixel values from pixels in a sequence of images; compute sets of summed intensity values for different per frame pixel offsets from a sequence of images; identify summed intensity values from a set of summed intensity values exceeding a threshold; cluster identified summed intensity values exceeding the threshold corresponding to single moving objects; and identify a location of at least one moving object in an image based on at least one summed intensity value cluster.

At least one processor included in an electronic device may: execute a camera; detect a first object within a field of view (FOV) of the camera; display a first preview image based on a first region of interest (ROI) including the first object on a display at a first magnification; additionally detect a second object within the FOV while the first preview image is displayed on the display; and display a second preview image based on a second ROI including the first object and the second object on the display at a second magnification different from the first magnification.

An imaging apparatus includes: an imaging unit that is capable of performing imaging and recording; a first operating part; a second operating part; a mode setting unit; a storage unit that stores a still picture set value for imaging and recording of a still picture and a motion picture set value for imaging and recording of a motion picture; and a control unit as defined herein.

Systems and approaches are provided for robustly detecting and tracking a user. Image data can be captured and processed to provide an estimated position and/or orientation of the user. Other sensor data, such as from an accelerometer and/or gyroscope, can be determined for a more robust estimation of the user's position and/or orientation. Multiple user detection processes and/or motion estimation approaches and their corresponding confidence levels can also be combined to determine a final estimated position and orientation of the user. The multiple user pose estimations and/or motion estimations can be combined via an approach such as probabilistic system modeling and maximum likelihood estimation.