A network management system manages the operation of a home security system in a communication network, such as a mesh network. The home security system can include multiple components such as a camera, a lighting device, a security alarm, a doorbell switch and doorbell chime, and a fingerprint sensor, which connect with the communication network to perform various operations. The network management system monitors environmental parameters of the communication network, such as parameters associated with the access points and components of the home security system, determines an access point to which a component of the home security system is to be connected for efficient operation of the home security system, and connects the component to the communication network via the determined access point.

Use of multiple sensors to determine whether motion of an object is occurring in an area is described. In one aspect, an infrared (IR) sensor can be supplemented with a radar sensor to determine whether the determined motion of an object is not a false positive.

An apparatus includes a subject detection unit configured to detect a specific subject in an input image, an acquisition unit configured to acquire camera information, an estimation unit configured to estimate a target of interest in an image using the subject information and the camera information, a first motion detection unit configured to detect background motion and subject motion, a conversion unit configured to convert the detected background motion and the detected subject motion to a first blur correction amount for correcting background blur and a second blur correction amount for correcting subject blur, respectively, and a correction amount calculation unit configured to, based on the target of interest, combine the first blur correction amount and the second blur correction amount and generate a final blur correction amount.

Aspects of the present disclosure relate to object-based image capture. Embodiments include identifying a reference point corresponding to an object in an image of a series of images. Embodiments include comparing a position of the reference point in the image to positions of one or more corresponding reference points in one or more previous images in the series of images. Embodiments include determining a total number of images in the series of images. Embodiments include selecting, based on the comparing and the total number of images in the series of images, between: capturing the image; or declining to capture the image.

An image capturing apparatus comprises an image sensor in which a plurality of pixels are arranged, wherein the plurality of pixels output focus detection signals based on light flux that has passed through an imaging optical system, a shifting unit that shifts an incident position of the light flux on the image sensor; and a focus detection unit that performs focus detection using the focus detection signals. The shifting unit shifts the incident position by a predetermined distance which is equal to or less than a distance between the pixels of the image sensor corresponding to the focus detection signals during a charge accumulation period in the image sensor for acquiring the focus detection signals.

An image pickup apparatus that is capable of eliminating change of an image pickup direction by a user during an image pickup operation and of easily obtaining an image that records experience while focusing attention on the experience. An observation direction detection unit is worn on a body part other than a head of a user and detects an observation direction of the user. An image pickup unit is worn on a body and picks up an image. A recording direction determination unit determines a recording direction using a detection result of the observation direction detection unit. A deviation detection unit detects a deviation of the image pickup apparatus with respect to the body. An image recording unit records a part of the image picked up by the image pickup unit in a recording area that is determined in accordance with the recording direction and the deviation.

Video information may define spherical video content having a duration. Spherical video content may define visual content viewable from a point of view as a function of progress through the spherical video content. Path information may define a path selection for the spherical video content. Path selection may include movement of a viewing window within the spherical video content. The viewing window may define extents of the visual content viewable from the point of view as the function of progress through the spherical video content. Time lapse parameter information may define at least two of a time portion of the duration, an image sampling rate, and a time lapse speed effect. A time lapse video may be generated based on the video information, the path information, and the time lapse parameter information.

A transfer control apparatus obtains statistics information related to a plurality of captured images captured by a plurality of image capturing apparatuses, obtains image capturing apparatus parameters of the plurality of image capturing apparatuses, determines an abnormality in each image capturing apparatus based on the statistics information and the image capturing apparatus parameters, and controls transfer of a plurality of captured images based on a determination.

A camera system may include one or more controllers to perform in-field monitoring of autofocus performance and instability mitigation. The controllers may monitor one or more parameters associated with adjustment of a relative position between a lens group and an image sensor and/or one or more images. The controllers may analyze the parameters and/or images to calculate various metrics. The controllers may evaluate the metrics with respect to corresponding thresholds. The controllers may detect, based at least in part of the evaluation the metrics, one or more instability events associated with controller performance degradation. In response to detecting the instability events, the controllers may perform one or more remedial actions to mitigate the controller performance degradation.

An image processing apparatus includes one or more processors including hardware. The one or more processors are configured to: divide, regarding a plurality of images acquired by capturing images of an imaging subject over time, the respective images into a plurality of regions; calculate, for the respective divided regions, motion vectors by detecting movements of the imaging subject; detect luminances and contrasts of the respective regions and detect specific regions where the detected luminances and contrasts satisfy determination conditions, the determination conditions being that the luminances are equal to or greater than a first threshold and that the contrasts are equal to or less than a second threshold; select the motion vectors to be used by excluding the motion vectors of the detected specific regions from the calculated motion vectors; and generate a combined image by performing position alignment of the plurality of images by using the selected motion vectors.