Systems and techniques are described for controlling digital imaging field of view. A device's first image sensor captures a first image based on first light redirected by a light redirection element, and the device's second image sensor captures a second image based on second light redirected by the light redirection element. The device can modify the first image and second image using perspective distortion correction, and can generate a combined image with a large field of view by combining the first image and the second image. The light redirection element can include two prisms that have corners cut and polished to form edges, which can be coupled together and/or colored. A refractive index of the adhesive can be selected to minimize light noise in the combined image. A light-absorbent colorant can coat the interface between the edges of the prisms to minimize light noise in the combined image.

A method for determining extrinsic camera parameters includes: starting camera movement, capturing a first raw image with parallel first and second patches at a first point of time, and a second raw image with parallel third and fourth patches at a second point of time. A distance between the first and second patches and between the third and fourth patches is the same. A reference position A of a first patch image feature, a reference position C of a second patch image feature, an offset position B of the feature of the first patch in the third patch, and an offset position D of the feature of the second patch in the fourth patch are detected. An epipolar model is applied based on the positions A-D and a distance travelled by the camera between the first and second time points. Extrinsic camera parameters are determined from the epipolar model.

A method for determining extrinsic camera parameters includes: starting camera movement, capturing a first raw image with parallel first and second patches at a first point of time, and a second raw image with parallel third and fourth patches at a second point of time. A distance between the first and second patches and between the third and fourth patches is the same. A reference position A of a first patch image feature, a reference position C of a second patch image feature, an offset position B of the feature of the first patch in the third patch, and an offset position D of the feature of the second patch in the fourth patch are detected. An epipolar model is applied based on the positions A-D and a distance travelled by the camera between the first and second time points. Extrinsic camera parameters are determined from the epipolar model.

A tracking system is disclosed utilizing one or more dynamic vision sensors (e.g., an event camera) configured to generate luminance-transition events associated with a target object, a depth estimation unit configured to generate based on the luminance-transition events depth data/signals indicative of a distance of the target object from the event camera, a spatial tracking unit configured to generate based on the luminance-transition events spatial tracking signals/data indicative of transitions of the target object in a scene of the target object, and an error correction unit configured to process the depth and spatial tracking data/signals and generate error correcting data/signals for the tracking of the target object by the one or more dynamic vision sensors.

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.

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.

A method of operating at least one image sensor that records an image content with a recording direction. The method includes the following steps: a) determining at least one piece of information about an expected main direction of movement of an expected movement in at least a portion of an image content to be recorded relative to the image sensor, b) setting the recording direction taking into account the expected main direction of movement, c) recording at least a portion of the image content with the recording direction.

A method of operating at least one image sensor that records an image content with a recording direction. The method includes the following steps: a) determining at least one piece of information about an expected main direction of movement of an expected movement in at least a portion of an image content to be recorded relative to the image sensor, b) setting the recording direction taking into account the expected main direction of movement, c) recording at least a portion of the image content with the recording direction.

Provided is a monitoring system including an image obtaining apparatus and an image processing apparatus. The image obtaining apparatus includes: a camera; a beacon sensor; a processor configured to match beacon information obtained by detecting, by the beacon sensor, a beacon attached to an object existing in a monitoring region, to an image of the monitoring region captured by the camera; and a memory storing the image matched with the beacon information.

Provided is an infrastructure and a vehicle for communicating with the same. The infrastructure recognizes a first area and a second area, and when a proportion of the second area of the image information is greater than or equal to a reference proportion, controls first and second adjusters to change a photographing area of a camera. The vehicle recognizes a hidden area, when a proportion of the hidden area is greater than or equal to a reference proportion, transmits an adjustment command of the first camera to the infrastructure, and when the proportion of the hidden area is less than the reference proportion. The vehicle matches an image of the hidden area to second image information of the second camera to generate a top view image.