Provided by the present invention is a picture focusing method, comprising: acquiring a video picture, and, according to an instruction command, determining a target object in the video picture; determining picture depth information of a video picture region in which the target object is located; acquiring parameter information of a camera corresponding to multiple video picture frames; using the picture depth information of the video picture region and the parameter information of the camera as the input of a preset focusing neural network model; and using focus adjustment information of the camera to perform a focus adjustment operation on the camera.

An athletic performance monitoring system, including a gesture recognition processor configured to execute gesture recognition processes. Interaction with the athletic performance monitoring system may be based, at least in part, on gestures performed by a user, and may offer an alternative to making selections on the athletic performance monitoring system using physical buttons, which may be cumbersome and/or inconvenient to use while performing an athletic activity. Additionally, recognized gestures may be used to select one or more operational modes for the athletic performance monitoring system, such that a reduction in power consumption may be achieved.

An athletic performance monitoring system, including a gesture recognition processor configured to execute gesture recognition processes. Interaction with the athletic performance monitoring system may be based, at least in part, on gestures performed by a user, and may offer an alternative to making selections on the athletic performance monitoring system using physical buttons, which may be cumbersome and/or inconvenient to use while performing an athletic activity. Additionally, recognized gestures may be used to select one or more operational modes for the athletic performance monitoring system, such that a reduction in power consumption may be achieved.

An apparatus for estimating bio-information may include an optical sensor comprising a light emitter disposed on a substrate, and a plurality of light receiving groups which are arranged on a plurality of concentric circles on the substrate, at different distances from the light emitter, respectively, and a processor configured to drive one of the plurality of light receiving groups that is selected based on a type of the bio-information to be estimated, and estimate the bio-information of an object based on optical signals detected by the driven light receiving group.

An apparatus for estimating bio-information may include an optical sensor comprising a light emitter disposed on a substrate, and a plurality of light receiving groups which are arranged on a plurality of concentric circles on the substrate, at different distances from the light emitter, respectively, and a processor configured to drive one of the plurality of light receiving groups that is selected based on a type of the bio-information to be estimated, and estimate the bio-information of an object based on optical signals detected by the driven light receiving group.

A method, system and computer program product for reducing learning time for a newly installed camera is disclosed. The method includes generating a new unusual activity model for the newly installed camera, based on portion(s) of existing and established unusual activity model(s) built for different older camera(s), where the existing and established unusual activity model(s) relate to at least one same static object appearing within Fields Of Views (FOVs) of the new and older cameras.

A method, system and computer program product for reducing learning time for a newly installed camera is disclosed. The method includes generating a new unusual activity model for the newly installed camera, based on portion(s) of existing and established unusual activity model(s) built for different older camera(s), where the existing and established unusual activity model(s) relate to at least one same static object appearing within Fields Of Views (FOVs) of the new and older cameras.

An imaging device according to this disclosure includes: a visible light camera that captures an image of a face of a person to be authenticated; a plurality of infrared light cameras that is provided on a housing with the visible light camera and captures an image of an iris of the person to be authenticated; and an optical filter that is provided on the housing so as to cover a light receiving surface of each of the plurality of infrared light cameras and not to cover a light receiving surface of the visible light camera, and has a pass band in an infrared region and a blocking band in a visible region.

The application discloses an information exchange method and an information exchange system, the method including: overlaying at least one decoding template onto an encoded pattern in at least one eye fundus of a user, to obtain a recovery pattern presented in the at least one eye fundus of the user, where the recovery pattern corresponds to an original pattern of the encoded pattern, and the at least one decoding template corresponds to at least one encoder used when the encoded pattern is obtained. According to the technical solutions of the embodiments of this application, an encoded pattern is decoded by overlaying a decoding template to an encoded pattern in at least one eye fundus of a user, so that a specific user can conveniently and intuitively see information hidden in the encoded pattern directly on the spot.

A miniaturized active dual pixel stereo system and method for close range depth extraction includes a projector adapted to project a locally distinct projected pattern onto an image of a scene and a dual pixel sensor including a dual pixel sensor array that generates respective displaced images of the scene. A three-dimensional image is generated from the displaced images of the scene by projecting the locally distinct projected pattern onto the image of the scene, capturing the respective displaced images of the scene using the dual pixel sensor, generating disparity images from the respective displaced images of the scene, determining depth to each pixel of the disparity images, and generating the three-dimensional image from the determined depth to each pixel. A three-dimensional image of a user's hands generated by the active dual pixel stereo system may be processed by gesture recognition software to provide an input to an electronic eyewear device.