Abstract: An image processing apparatus and an image processing method for processing far-infrared ray images are provided. Specific temperature ranges constituted by pixels having values falling within a temperature range characteristic of a specific target are extracted from a far-infrared ray image captured of the same target. Of the specific temperature ranges, those having motion vectors close to each other are integrated so as to generate integrated ranges. The integrated ranges having motion vectors close to a global motion vector indicative of the motion of the image as a whole are excluded to obtain excluded integrated ranges. Visible light ranges corresponding to the specific temperature ranges in the excluded integrated ranges are extracted from the visible light image to generate visible light motion ranges. The positions of the visible light motion ranges are corrected on the basis of the motion vector of the excluded integrated ranges as a whole.

Abstract: An image acquisition unit 341-1 acquires a polarization image and a non-polarization image indicating a peripheral area of a moving body, such as the peripheral area of a vehicle. A discrimination information generation unit 342-1 uses the polarization image acquired by the image acquisition unit 341-1 and generates analysis object discrimination information indicating a road surface or the like. An image analysis unit 344-1 uses an image of an image analysis area set on the basis of the analysis object discrimination information generated by the discrimination information generation unit 342-1 with respect to the non-polarization image acquired by the image acquisition unit 341-1, and performs a discrimination of an object, such as an obstacle on the road surface. It is possible to efficiently perform a determination of the presence of the object from the non-polarization image of the peripheral area of the moving body.

Abstract: The present disclosure relates to an information processing apparatus capable of detecting a plane constituting a movement-enabling region, as well as to an information processing method, a program, and a mobile object. A normal direction of a plane constituting a road surface is detected on the basis of polarized images in multiple polarizing directions acquired by a polarization camera. A laser ranging sensor measures a distance to a point on the road surface so as to measure a position of the point. The plane constituting the road surface is identified on the basis of information regarding the normal direction of the plane constituting the road surface and information regarding the position of the point on the road surface. This disclosure may be applied to vehicle-mounted systems.

Abstract: A laser range finder projects light while changing a direction in a horizontal direction at a predetermined angle with respect to a vertical direction to also receive reflected light of the light, and detects a direction and a distance in which the light is reflected from an obstacle or the like, according to a difference time between a time of light projection and a time of light reception. A normal direction of a flat plane forming a road surface is detected on the basis of a polarized image. The laser range finder projects light such that the light has a predetermined angle with respect to the vertical direction so as to be orthogonal to the normal direction of the flat plane forming the road surface. The laser range finder can be applied to in-vehicle systems.

Abstract: An information processing apparatus according to an embodiment of the present technology includes a detection unit, an estimation unit, and a judgment unit. The detection unit detects a target object from an input image. The estimation unit estimates a posture of the detected target object. The judgment unit judges a possibility of the target object slipping on the basis of the estimated posture.

Abstract: Image processing methods and apparatus are described. The image processing method comprises receiving input of a visible-ray image and an infrared-ray image obtained by photographing a same subject, estimating, based on the visible-ray image, the infrared-ray image and motion information, a blur estimate associated with the visible-ray image, and generating, based on the estimated blur estimate, a corrected visible-ray image.

Abstract: Methods and apparatus for image processing are provided. The method comprises receiving input of a visible-ray image and a far-infrared-ray image obtained by photographing a same subject, estimating a blur estimation result in the visible-ray image, wherein estimating a blur estimation result comprises calculating a correlation between the visible-ray image and each of a plurality of filter-applied far-infrared ray images in which a different filter is applied to the far-infrared-ray image and selecting the filter for which the calculated correlation is highest, and performing a correction process on the visible-ray image based, at least in part, on the blur estimation result to generate a corrected visible-ray image from which the blur is reduced, wherein generating the corrected visible-ray image comprises applying, to the visible ray image, an inverse filter having an inverse characteristic to a characteristic of the selected filter.

Abstract: An image captured by a far-infrared camera is analyzed to analyze a distribution of a road-surface temperature, and a course of a highest road-surface temperature is determined to be a traveling route. Further, automatic driving along the course of the highest road-surface temperature is performed. Furthermore, a state of the distribution of a road-surface temperature, and a direction of the course of the highest road-surface temperature are displayed on a display section, so that a user (a driver) recognizes them. For example, a state analyzer detects a candidate course travelable for a vehicle, the state analyzer detecting a plurality of the candidate courses, calculates an average value of a road-surface temperature of each of the plurality of the candidate courses, and determines the candidate course having a largest average value of a road-surface temperature to be a traveling route.

Abstract: The present technology relates to an information processing apparatus, an information processing method, and a program for suppressing the occurrence of false recognition. A road surface region estimating section estimates a road surface region in a first image captured of a predetermined imaging range. A non-polarized region extracting section extracts a non-polarized region from a second image captured of the imaging range. A low-confidence level region estimating section estimates a low-confidence level region for an object with a low first confidence level obtained by a first sensor within a measurement range of the first sensor in the imaging range on the basis of information indicating the road surface region and the non-polarized region.

Abstract: [Abstract] A damage reduction device according to an embodiment of the present technology includes an input unit, a prediction unit, a recognition unit, and a determination unit. The input unit inputs status data regarding a status in a moving direction of a moving body apparatus. The prediction unit predicts a collision with an object in the moving direction on the basis of the status data. The recognition unit recognizes whether the object includes a person. The determination unit determines, when the collision with the object is predicted and it is recognized that the object includes a person, a steering direction of the moving body apparatus in which a collision with the person is avoidable, on the basis of the status data.

Abstract: The low-sensitivity polarization characteristic model calculation unit 31 of the polarized image processing unit 30-1 calculates the low-sensitivity polarization characteristic model on the basis of the low-sensitivity polarized image in the plurality of polarization directions that is generated by the low-sensitivity imaging unit 21. The non-saturation polarized image extraction unit 32 extracts an image in a polarization direction in which saturation has not occurred from the high-sensitivity polarized image in the plurality of polarization directions that is generated by the high-sensitivity imaging unit 22. The high-sensitivity component acquisition unit 33-1 calculates a high-sensitivity polarization characteristic model having the phase component identical to the low-sensitivity polarization characteristic model from an image in a plurality of polarization directions in which saturation has not occurred in the high-sensitivity polarized image.

Abstract: [Object] To improve calibration precision of a far-infrared camera. [Solution] There is provided an image processing device including: a far-infrared acquisition unit configured to acquire a far-infrared image; a first extraction unit configured to extract a plurality of first markers having first temperature from the far-infrared image; and a far-infrared specification unit configured to specify a position of each of a plurality of second markers having second temperature in the far-infrared image on the basis of a geometric relationship between the plurality of respective first markers.

Abstract: A damage reduction device according to an embodiment of the present technology includes an input unit, a prediction unit, a recognition unit, and a determination unit. The input unit inputs status data regarding a status in a moving direction of a moving body apparatus. The prediction unit predicts a collision with an object in the moving direction on the basis of the status data. The recognition unit recognizes whether the object includes a person. The determination unit determines, when the collision with the object is predicted and it is recognized that the object includes a person, a steering direction of the moving body apparatus in which a collision with the person is avoidable, on the basis of the status data.

Abstract: [Object] To improve detection precision of a subject at a lower cost. [Solution] Provided is an image processing device including: a plurality of detection units configured to detect respective detection regions indicating temperatures within mutually different setting temperature ranges from a far-infrared image; and a determination unit configured to determine whether a predetermined subject is shown in the far-infrared image on the basis of a positional relation between the plurality of detected detection regions and modeling which regulates the positional relation in a case in which the predetermined subject is shown in the far-infrared image.

Abstract: [Object] To extract a target region for a far-infrared image with a high level of accuracy. [Solution] Provided is an image processing device including: an adjustment unit that adjusts any one of a background image which is a far-infrared image showing a background that does not include an object and a target image which is a far-infrared image showing the object, on the basis of a time change model of an observation pixel value; and an extraction unit that extracts a target region including the object in the target image on the basis of a result of comparison between the background image and the target image after the adjustment is performed.

Abstract: An image processing device and a method that enable removal of reflection component light from images captured from various directions are provided.

Abstract: State information corresponding to a subject on a visible light image, such as temperature information and sound field information, is acquired from state information indicating a subject state not indicated on the visible light image by an information acquisition unit 21. An effect processing unit 22 performs an effect process on the visible light image on the basis of the state information acquired by the information acquisition unit 21. In the effect process, an effect component image is superimposed or a subject image is modified based on the type and temperature of the subject and an effect component image is superimposed or a subject image is modified based on the type of a sound source and the volume of a sound. The effect process according to the state information is performed on the visible light image, such that the reality can be improved.

Abstract: The low-sensitivity polarization characteristic model calculation unit 31 of the polarized image processing unit 30-1 calculates the low-sensitivity polarization characteristic model on the basis of the low-sensitivity polarized image in the plurality of polarization directions that is generated by the low-sensitivity imaging unit 21. The non-saturation polarized image extraction unit 32 extracts an image in a polarization direction in which saturation has not occurred from the high-sensitivity polarized image in the plurality of polarization directions that is generated by the high-sensitivity imaging unit 22. The high-sensitivity component acquisition unit 33-1 calculates a high-sensitivity polarization characteristic model having the phase component identical to the low-sensitivity polarization characteristic model from an image in a plurality of polarization directions in which saturation has not occurred in the high-sensitivity polarized image.

Abstract: An image acquisition unit 341-1 acquires a polarization image and a non-polarization image indicating a peripheral area of a moving body, such as the peripheral area of a vehicle. A discrimination information generation unit 342-1 uses the polarization image acquired by the image acquisition unit 341-1 and generates analysis object discrimination information indicating a road surface or the like. An image analysis unit 344-1 uses an image of an image analysis area set on the basis of the analysis object discrimination information generated by the discrimination information generation unit 342-1 with respect to the non-polarization image acquired by the image acquisition unit 341-1, and performs a discrimination of an object, such as an obstacle on the road surface. It is possible to efficiently perform a determination of the presence of the object from the non-polarization image of the peripheral area of the moving body.

Abstract: The present technology relates to an information processing apparatus, an information processing method and a program that make it possible to determine a distance to an object with high accuracy. A likelihood calculation unit calculates, from information obtained by each of a plurality of distance measurement methods, distance likelihoods with regard to which the distance to an object is each of a plurality of distances. An integration unit integrates the distance likelihoods according to the plurality of distance measurement methods to determine integration likelihoods each of the plurality of distances. The present technology can be applied, for example, to a case in which a distance to an obstacle is determined and a driver who drives an automobile or the like is supported using the distance or to a like case.