A number-of-occupants detection system (1) includes an image correction unit (120) that generates a corrected image based on an image generated by an imaging unit (110) that images a vehicle traveling on a road having a plurality of lanes by executing correction processing on the image for reducing blurring of a subject captured in the image using a parameter according to a position where the vehicle travels, and a count unit (130) that counts the number of occupants of the vehicle using the corrected image generated by the image correction unit (120).

A control apparatus configured to control an image-capturing apparatus executes focus adjustment of the image-capturing apparatus in response to detection of a specific marker pattern from an image of an area to be focused by the image-capturing apparatus in an image acquired by image-capturing of the image-capturing apparatus.

Various embodiments disclosed herein include techniques for operating a multiple camera system. In some embodiments, a primary camera may be selected from a plurality of cameras using object distance estimates, distance error information, and minimum object distances for some or all of the plurality of cameras. In other embodiments, a camera may be configured to use defocus information to obtain an object distance estimate to a target object closer than a minimum object distance of the camera. This object distance estimate may be used to assist in focusing another camera of the multi-camera system.

An electronic device includes a processor; a first camera module comprising a camera including a first lens assembly having a first field of view (FOV) and a second camera module comprising a camera spaced apart a first camera module and including a second lens assembly having a second FOV narrower than the first FOV; wherein the first camera module includes an image sensor and a filter including a glass plate spaced apart the image sensor and disposed on the image sensor, and a layer disposed on the glass plate and configured to absorb a portion of infrared light among the light transmitted through the first lens assembly, wherein the processor is configured to obtain depth information about on the subject located within the second FOV based on data about the light passing through the filter, which is obtained through the image sensor.

An imaging system (1) includes an imaging unit (2) configured to capture an eye of a target person, and a mode control unit (4) configured to select one of imaging modes including a first imaging mode that sets a capture volume for which a greatest distance from the imaging unit (2) in an optical axis direction of the imaging unit (2) is a first distance, and a second imaging mode that sets the capture volume for which the greatest distance from the imaging unit is a second distance, in which the second distance is greater than the first distance. With the imaging system (1), a balance between an image quality matching a purpose of use and a capturing time may be easily achieved.

Provided is an information processing device including an image capture unit that captures an image of a subject and converts the image into digital data to generate a captured image, a calculation unit that calculates, for each predetermined area of the captured image, a probability that the subject included in the predetermined area is a main subject desired to be captured by a camera operator, a determination unit that determines the predetermined area in which the probability exceeds a predetermined threshold as a valid data area and that determines a main subject area based on the valid data area, and a focusing unit that focuses on the determined main subject area. Accordingly, it is possible to appropriately bring the main subject into focus.

A photoelectric conversion device includes a circuit provided between an avalanche photodiode and a power source, a counter configured to count an output signal output from the avalanche photodiode, and a memory into which time information indicating that a count value of the counter has reached a threshold value within a predetermined exposure period shorter than an exposure time is written, wherein a clock signal is configured to be input to the circuit in the exposure period.

According to one embodiment, a ranging device includes storage and a processor. The storage is configured to store a statistical model generated by learning a bokeh that occurs in a first image affected by aberration of an optical system of a capture unit. The processor is configured to acquire a second image captured by the capture unit, acquire focus position information when the second image was captured, acquire a bokeh value indicating a bokeh of a subject in the second image, which is output from the statistical model by inputting the acquired second image to the statistical model, and convert the acquired bokeh value into a distance to the subject based on the acquired focus position information.

According to one embodiment, a ranging device includes storage and a processor. The storage is configured to store a statistical model generated by learning a bokeh that occurs in a first image affected by aberration of an optical system of a capture unit. The processor is configured to acquire a second image captured by the capture unit, acquire focus position information when the second image was captured, acquire a bokeh value indicating a bokeh of a subject in the second image, which is output from the statistical model by inputting the acquired second image to the statistical model, and convert the acquired bokeh value into a distance to the subject based on the acquired focus position information.

An apparatus includes at least one memory configured to store instructions, and at least one processor in communication with the at least one memory and configured to execute the instructions to detect a feature amount from each of a plurality of images different in in-focus position in an optical axis direction, and align the plurality of images by using the feature amount. The at least one processor further executes instructions to detect the feature amount by preferentially using a focusing area of each of the plurality of images.