In variants, the method for occlusion correction can include: determining a measurement depicting an occluded object of interest (OOI), optionally infilling the occluded portion of the object of interest within the measurement, and determining an attribute of the object of interest based on the infilled measurement.

Provided are a disaster information processing apparatus, an operation method of a disaster information processing apparatus, an operation program of a disaster information processing apparatus, and a disaster information processing system capable of controlling an operation of a surveillance camera suitable for an environmental condition of a disaster-stricken area. An effective field of view range derivation unit derives and acquires an effective field of view range in a bird's-eye view image of an area captured by a surveillance camera, and a damage situation of the area being able to be grasped in the effective field of view range, and the effective field of view range changing depending on an environmental condition of the area. A control signal generation unit generates a control signal of the surveillance camera corresponding to the effective field of view range. An operation of the surveillance camera is controlled by the control signal.

An electronic device is provided. The electronic device includes a camera module, a communication circuit, a memory, and a processor, wherein the processor may execute a first application using the camera module, obtain a first image through the camera module while the first application operates, recognize an object of a specified type in the first image, obtain location information of where the first image is obtained, determine a first virtual point corresponding to the location information on a three-dimensional (3D) virtual map, obtain a second image corresponding to the first image at the first virtual point, and update data of the 3D virtual map on the object based on a comparison between the first image and the second image.

A system determines spatial locations of pixels of an image. The system includes a processor configured to: receive location data from devices located within a hotspot; generate a density map for the hotspot including density pixels associated with spatial locations defined by the location data, each density pixel having a value indicating an amount of location data received from an associated spatial location; match the density pixels of the density map to at least a portion of the pixels of the image; and determine spatial locations of the at least a portion of the pixels of the image based on the spatial locations of the matching density pixels of the density map. In some embodiments, the image and density map are converted to edge maps, and a convolution is applied to the edge maps to match the density map to the pixels of the image.

In variants, the method can include: detecting a property within a set of measurements; determining a set of property parameters based on the detection; determining a set of higher-resolution measurements based on the set of property parameters; and determining a set of property attributes based on the set of higher-resolution measurements.

The present disclosure discloses a monitoring management and control system based on panoramic big data comprising an imaging device, a credential of the imaging device, a memory, a networking device, and a processing unit. The imaging device is configured to detect a first object and determine an approximate location of the first object and a reliability value of the approximate location of the first object based on the credential of the imaging device, the memory, the networking device, and the processing unit.

The method for generating a road edge line includes: acquiring a road image; recognizing lane line information from the road image; recognizing key point information related to the road edge from the road image; and generating the road edge line according to the lane line information and the key point information.

Disclosed herein is a method for an image analysis server to detect a change to a structure by using a drone. The method for an image analysis server to detect a change to a structure by using a drone includes: receiving images of a specific inspection target structure taken at different time points by a drone; detecting the difference between an image taken at a first time point and an image taken at a second time point based on the received images; and detecting a change to the inspection target structure via the detected difference, and generating a risk signal and then transmitting it to an administrator terminal.

Provided are an inundation damage determination device, an inundation damage determination method, and a program for determining inundation damage of a house without disposing a sensor in advance or visiting an inundated site. An image including a water surface is acquired, a reference object, which is a reference for a height, is detected from the image, a total length and a position of the reference object are acquired, a length above the water surface of the reference object in the image is measured, and a water level of the water surface is measured from a difference between the total length of the reference object and the length above the water surface of the reference object, the water level of the water surface and the position of the reference object are stored in association with each other, a position of a house, which is a target of an inundation damage determination, is acquired, an inundation water level of the house is decided from the position associated with the water level of the water surface and the position of the house, and a degree of damage of the house from the inundation water level is determined.

An electronic device is provided. The electronic device includes a camera, a display, a memory, a location positioning circuitry, and at least one processor operatively coupled to the camera, the display, the memory, and the location positioning circuitry, wherein the at least one processor may determine a first position and a first direction of a user through the location positioning circuitry, obtain surrounding information about the first position from a map database, generate scan request information including a reference target from the map database on the basis of the surrounding information, display a capture guide on the display such that a capture target corresponding to the reference target is captured with the camera by using the scan request information, determine a second position and a second direction by using the capture target and the reference target, and display the second position and the second direction on the display.