An apparatus, method and computer program wherein the apparatus comprises: processing circuitry; and memory circuitry including computer program code, the memory circuitry and the computer program code configured to, with the processing circuitry, enable the apparatus to; obtain images from an image capturing device; obtain measurements of movements of the image capturing device made while the images were captured; and use the obtained measurements of movements to calculate a sickness rating.

An imaging system for obtaining images having enhanced features is described. The imaging system includes an optical system that receives and direct light from a field of view to two or more image planes. The image planes are optically coupled and configured to detect at least a portion of the received light and generate image data corresponding to the field of view. The system can include a processor that receives the image data generated by each plane and combines the data to form a combined image. The combined image can have a higher resolution than any image that can be obtained from the individual image sensors and the image plane may be curved to reduce the cost of optics. The processor can detect objects (e.g., moving objects) contained in images obtained from one image plane and configure the other image planes to obtain more detailed images of the detected objects.

An imaging system for obtaining images having enhanced features is described. The imaging system includes an optical system that receives and direct light from a field of view to two or more image planes. The image planes are optically coupled and configured to detect at least a portion of the received light and generate image data corresponding to the field of view. The system can include a processor that receives the image data generated by each plane and combines the data to form a combined image. The combined image can have a higher resolution than any image that can be obtained from the individual image sensors and the image plane may be curved to reduce the cost of optics. The processor can detect objects (e.g., moving objects) contained in images obtained from one image plane and configure the other image planes to obtain more detailed images of the detected objects.

To achieve highly accurate image analysis processing without using a large amount of network bandwidth, an analysis apparatus acquires an image via a network, executes analysis processing, acquires additional image data depending on a result of the analysis processing, and executes reanalysis processing by using the additional image data.

To achieve highly accurate image analysis processing without using a large amount of network bandwidth, an analysis apparatus acquires an image via a network, executes analysis processing, acquires additional image data depending on a result of the analysis processing, and executes reanalysis processing by using the additional image data.

To perform an ideal calibration operation, a start switch started manually or by an on-vehicle camera calibration device, a start switching device started by an operation of the start switch and projection devices installed in an outer periphery of a vehicle body, including at least one or more light sources irradiating the surroundings of the vehicle body with light are provided, in which whether a calibration operation is possible or not is determined based on references on a road surface projected by the projection devices.

To perform an ideal calibration operation, a start switch started manually or by an on-vehicle camera calibration device, a start switching device started by an operation of the start switch and projection devices installed in an outer periphery of a vehicle body, including at least one or more light sources irradiating the surroundings of the vehicle body with light are provided, in which whether a calibration operation is possible or not is determined based on references on a road surface projected by the projection devices.

The present disclosure discloses an image frame processing method for processing a plurality of input image frames with an image processing device. An embodiment of the method comprises: receiving a plurality of input image frames; and processing the plurality of input image frames to produce a first number of first output image frames and a second number of second output image frames, in which the resolution of the first output image frames is higher than the resolution of the second output image frames and the first number is less than the second number, wherein a first frame of the first output image frames and a second frame of the second output image frames are derived from the same one of the plurality of input image frames.

An apparatus and method of estimating an image optical flow are provided. The method includes receiving temporally-consecutive first and second images; calculating rates of change of brightness values of pixels in the received temporally-consecutive first and second images; calculating a first optical flow estimation result value of a first pixel within the first image and a second optical flow estimation result value of a second pixel within the second image by using the calculated rates of change; comparing the first optical flow estimation result value with the second optical flow estimation result value; and correcting the first optical flow estimation result value and the second optical flow estimation result value by using a result of the comparison.

An apparatus and method of estimating an image optical flow are provided. The method includes receiving temporally-consecutive first and second images; calculating rates of change of brightness values of pixels in the received temporally-consecutive first and second images; calculating a first optical flow estimation result value of a first pixel within the first image and a second optical flow estimation result value of a second pixel within the second image by using the calculated rates of change; comparing the first optical flow estimation result value with the second optical flow estimation result value; and correcting the first optical flow estimation result value and the second optical flow estimation result value by using a result of the comparison.