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. A weight calculating section calculates a weight on the first confidence level on the basis of the first confidence level, a second confidence level of the object obtained by a second sensor in the imaging range, and information indicating the low-confidence level region. A presence likelihood calculating section calculates presence likelihood of the object at different distances within the imaging range on the basis of the first confidence level, the second confidence level, and information indicating the weight. The present technology is applicable to a vehicle-mounted distance estimating apparatus.
Abstract:
The present technology relates to an information processing apparatus, an information processing method and a program that make it possible to determine a movement amount of an object with high accuracy.A likelihood calculation unit calculates, from information obtained by each of movement detection methods including a movement detection method for detecting a movement amount of an object using an image and one or more different movement detection methods, movement amount likelihoods with regard to which the movement amount of an object is each of a plurality of movement amounts. An integration unit integrates the movement amount likelihoods according to the plurality of movement detection methods to determine integration likelihoods individually of the plurality of movement amounts. The present technology can be applied, for example, to a case in which a movement amount of an object is determined and a driver who drives an automobile or the like is supported using the movement amount or to a like case.
Abstract:
A likelihood calculation unit calculates, from information obtained by each of movement detection methods including a movement detection method for detecting a movement amount of an object using an image and one or more different movement detection methods, movement amount likelihoods with regard to which the movement amount of an object is each of a plurality of movement amounts. An integration unit integrates the movement amount likelihoods according to the plurality of movement detection methods to determine integration likelihoods individually of the plurality of movement amounts. The present technology can be applied, for example, to a case in which a movement amount of an object is determined and a driver who drives an automobile is supported using the movement amount.
Abstract:
A signal processing apparatus including a first position calculation unit that calculates a three-dimensional position of a target on a first coordinate system from a stereo image captured by a stereo camera, a second position calculation unit that calculates a three-dimensional position of the target on a second coordinate system from a sensor signal of a sensor capable of obtaining position information of at least one of a lateral direction and a longitudinal direction and position information of a depth direction, a correspondence detection unit that detects a correspondence relationship between the target on the first coordinate system and the target on the second coordinate system, and a positional relationship information estimating unit that estimates positional relationship information of the first coordinate system and the second coordinate system on the basis of the detected correspondence relationship.
Abstract:
Provided is an image processing device including an acquisition unit configured to acquire information on an imaging position and an imaging direction in units of frame images that constitute a moving image obtained through capturing by an imaging unit, a converted image generation unit configured to generate converted images having different imaging directions for each frame image that constitutes the moving image based on the frame image itself and preceding and succeeding frame images of the frame image, an evaluation value calculation unit configured to calculate an evaluation value for each converted moving image constituted by combining the converted image and the original frame image, the evaluation value being used to evaluate a blur between the converted images or between the original frame images, and a selection unit configured to select a converted moving image with less blur based on an evaluation value calculated by the evaluation value calculation unit.
Abstract:
An information processing apparatus capable of detecting a plane constituting a movement-enabling region. 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.
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. A weight calculating section calculates a weight on the first confidence level on the basis of the first confidence level, a second confidence level of the object obtained by a second sensor in the imaging range, and information indicating the low-confidence level region. A presence likelihood calculating section calculates presence likelihood of the object at different distances within the imaging range on the basis of the first confidence level, the second confidence level, and information indicating the weight. The present technology is applicable to a vehicle-mounted distance estimating apparatus.
Abstract:
[Object] To associate information generated on the basis of an activity that is carried out by a user with respect to a content with the content, thereby effectively using the information.[Solution] Provided is an information processing apparatus including: an activity detection unit configured to detect an activity of a user who currently plays back a content; a tag generation unit configured to generate tag information on the basis of information on the activity; and a tag association unit configured to associate the tag information with one or more positions in the content, the one or more positions corresponding to the activity.
Abstract:
Provided is an image processing device including an acquisition unit configured to acquire information on an imaging position and an imaging direction in units of frame images that constitute a moving image obtained through capturing by an imaging unit, a converted image generation unit configured to generate converted images having different imaging directions for each frame image that constitutes the moving image based on the frame image itself and preceding and succeeding frame images of the frame image, an evaluation value calculation unit configured to calculate an evaluation value for each converted moving image constituted by combining the converted image and the original frame image, the evaluation value being used to evaluate a blur between the converted images or between the original frame images, and a selection unit configured to select a converted moving image with less blur based on an evaluation value calculated by the evaluation value calculation unit.
Abstract:
A signal processing apparatus including a first position calculation unit that calculates a three-dimensional position of a target on a first coordinate system from a stereo image captured by a stereo camera, a second position calculation unit that calculates a three-dimensional position of the target on a second coordinate system from a sensor signal of a sensor capable of obtaining position information of at least one of a lateral direction and a longitudinal direction and position information of a depth direction, a correspondence detection unit that detects a correspondence relationship between the target on the first coordinate system and the target on the second coordinate system, and a positional relationship information estimating unit that estimates positional relationship information of the first coordinate system and the second coordinate system on the basis of the detected correspondence relationship.