An image analysis method is applied to estimating a mounting position of a camera and includes utilizing the camera to capture an image toward a target region. The image includes at least one object of interest. The object of interest has a pixel height in the image. The image analysis method further includes obtaining an inclining angle and a rolling angle of the camera relative to the target region, calculating a mounting height of the camera relative to the target region according to an input height and the pixel height of the object of interest, an image capturing parameter of the camera, the inclining angle and the rolling angle, and performing video content analysis on the image according to the image capturing parameter, the inclining angle, the rolling angle and the mounting height of the camera.

A system is provided. The system comprises: a processing system comprising a memory coupled to a processor; wherein the processing system is configured to be coupled to at least one sensor; wherein the memory comprises a grid adaptation system, a system model, measurement data, and an estimation system; wherein the measurement data comprises data measured by the at least one sensor; wherein the estimation system is configured to provide probability density functions (PDFs) for a predictive estimate and a filtered estimate of a state in a form of a point-mass density; and wherein the grid adaption system is configured to adapt grid parameters of a predictive estimate and a filtered estimate.

An emissive material includes a source of alumina in an amount between about 20 and about 30 weight % (wt. %), B.sub.4C in an amount between about 10 and about 20 wt. %, and SiC in an amount between about 55 and about 65 wt. %.

A system and method for improved detection of lasers for use in laser guidance systems. By providing background illumination via one or more radiation sources the accuracy of the laser detection system can be improved. A closed loop system detects the background current on the detector and provides additional illumination when the back ground level is below a threshold current value thus providing for a faster detector response.

The invention relates to a method for determining characteristic-curve correction factors a matrix detector that images in the infrared spectral range. A good image correction can be obtained by virtue of an area of homogeneous temperature being recorded at two different temperatures by the matrix detector, there being two images with different integration times for each temperature. A signal gradient over the integration time is established for each of the pixels from the four pixel values at the two temperatures in each case and the gain being established from the difference of the signal gradients and characteristic-curve correction factors for the gain being stored.

A method for calibrating a value of sampling precision of an optical sensor for tracking includes: reading a precision variance and a setting precision value from a memory device; measuring the sampling precision of the optical sensor under a normal mode to generate an actually measured precision value; calculating a normalized value that is proportional to the actually measured precision value according to the precision variance, the actually measured precision value, and the setting precision value; and, calibrating the actually measured precision value by using the normalized value.

An image analysis method is applied to estimating a mounting position of a camera and includes utilizing the camera to capture an image toward a target region. The image includes at least one object of interest. The object of interest has a pixel height in the image. The image analysis method further includes obtaining an inclining angle and a rolling angle of the camera relative to the target region, calculating a mounting height of the camera relative to the target region according to an input height and the pixel height of the object of interest, an image capturing parameter of the camera, the inclining angle and the rolling angle, and performing video content analysis on the image according to the image capturing parameter, the inclining angle, the rolling angle and the mounting height of the camera.

A light-field video stream may be processed to modify the camera pathway from which the light-field video stream is projected. A plurality of target pixels may be selected, in a plurality of key frames of the light-field video stream. The target pixels may be used to generate a camera pathway indicative of motion of the camera during generation of the light-field video stream. The camera pathway may be adjusted to generate an adjusted camera pathway. This may be done, for example, to carry out image stabilization. The light-field video stream may be projected to a viewpoint defined by the adjusted camera pathway to generate a projected video stream with the image stabilization.

An optical sensor includes at least two optical sensing pixels and at least two different grating elements. These grating elements are disposed above these optical sensing pixels correspondingly.

A system is provided. The system comprises: a processing system comprising a memory coupled to a processor; wherein the processing system is configured to be coupled to at least one sensor; wherein the memory comprises a grid adaptation system, a system model, measurement data, and an estimation system; wherein the measurement data comprises data measured by the at least one sensor; wherein the estimation system is configured to provide probability density functions (PDFs) for a predictive estimate and a filtered estimate of a state in a form of a point-mass density; and wherein the grid adaption system is configured to adapt grid parameters of a predictive estimate and a filtered estimate.