This disclosure provides methods, devices, and systems for controlling motion-activated cameras. The present implementations more specifically relate to reducing false triggers in motion-activated camera systems. In some implementations, a motion-activated camera system may include a camera, a first motion sensor having a wide field-of-view (FOV), and a second motion sensor having a narrow FOV. In some aspects, the motion-activated camera system may be configured to operate in a wide-FOV mode or a narrow-FOV mode. In some implementations, the first motion sensor may trigger the camera to capture images of a scene responsive to motion detected in the wide FOV when the system is configured to operate in the wide-FOV mode. In some other implementations, the second motion sensor may trigger the camera to capture images of the scene responsive to motion detected in the narrow FOV when the system is configured to operate in the narrow-FOV mode.

A correction control apparatus outputs a blur correction amount associated with an image blur with respect to a group of captured images. The apparatus obtains status information indicating an image capture status of the group of images, obtains a result of detection of a motion blur with respect to the group of images, derives the blur correction amount based on the obtained result, outputs the blur correction amount and controls a method of derivation of the blur correction amount. The apparatus includes a filter that extracts components of a first frequency band from the result, and derives the blur correction amount based on the components of the first frequency band associated with the motion blur extracted by the filter, and causes the first frequency band extracted by the filter to vary in accordance with the obtained status information.

An apparatus includes one or more processors and/or circuitry which function as: an object detection unit configured to detect a main object, a first motion detection unit configured to detect a motion vector of the main object, a second motion detection unit configured to detect a movement of an image capturing apparatus, a control unit configured to control a correction unit, and a determination unit configured to determine whether the main object is changed between a first timing when a first image is captured and a second timing when a second image is captured. In a case where the determination unit determines that the main object is changed, the control unit changes a control from image blur correction based on the motion vector of the main object to image blur correction based on the movement of the image capturing apparatus.

There is provided an image processing device including: a camera outputting a first image obtained by photographing an object that is moving; and a control module generating a coded pattern for controlling a shutter exposure time and reconstructing a second image in which motion blur of the first image is removed, wherein the control module detects a moving speed of the object, and generates the coded pattern based on a point spread function (PSF) range set according to the moving speed.

A method for picture processing is described. A first tracking area is obtained. A second tracking area is also obtained. The method includes beginning to track the first tracking area and the second tracking area. Picture processing is performed once a portion of the first tracking area overlapping the second tracking area passes a threshold.

The disclosure relates to a method for the noise optimization of a camera, in particular a handheld thermal imaging camera. Images are captured by means of the camera in at least one method step; at least one movement characteristic variable is detected by means of at least one sensor unit of the camera in at least one method step; and image data of captured images is averaged by means of a computing unit of the camera in at least one method step. At least a number of images to be averaged are determined by means of the computing unit of the camera at least on the basis of an intensity of the detected movement characteristic variable, in particular a change rate, in at least one method step.

This application discloses a video image anti-shake method and a terminal, and relates to the field of image processing, to implement compensation for translational shake in a Z direction. A video image anti-shake method includes: turning on, by a terminal, a camera lens, and photographing a video image by using the camera lens; detecting, by the terminal, shake on an X-axis, a Y-axis, and a Z-axis during photographing, where the Z-axis is an optical axis of the camera lens, the X-axis is an axis perpendicular to the Z-axis on a horizontal plane, and the Y-axis is an axis perpendicular to the Z-axis on a vertical plane; and performing, by the terminal, anti-shake processing on the video image based on the shake on the X-axis, the Y-axis, and the Z-axis. Embodiments of this application are applied to video image anti-shake.

A method and an apparatus for capturing a high quality dynamic image by setting a different row-wise exposure value when capturing a scene are provided. The dynamic image capturing method includes: generating an image by pre-capturing a scene via an event sensor; generating event data from the image; determining a row-wise exposure value of the image based on the event data; and determining a row-wise readout priority order of the image based on the row-wise exposure value of the image.

In accordance with some embodiments, systems, methods, and media for motion adaptive imaging using single-photon image sensor data are provided. In some embodiments, the system comprises: an image sensor comprising single-photon detectors in an array; a processor programmed to: receive a sequence of photon frames, each comprising pixels having a value indicative of whether a photon was received during a frame period, each of the pixels corresponds to a pixel location; identify, for each of the pixel locations, changepoints, each indicative of a change in scene brightness; identify a photon frame in the sequence at which at least a threshold change in brightness has occurred based on the changepoints associated with each of the plurality of pixel locations; and generate a series of changepoint frames, wherein each changepoint frame is based on estimated brightness associated with each pixel location at a point in the sequence of photon frames.

The present invention relates to a method of adjusting control commands for moving a medical camera connected to a motorized support structure, wherein the adjustment is based on images provided by the camera. Based on a comparison of at least two images provided by the camera, an actual motion of the camera is determined and compared with an intended motion defined by a control command forwarded to the motorized support structure. In case a deviation between the intended motion and the actual motion is determined, a correction is applied to the control command such that the actual motion of the camera coincides with the intended motion.