Abstract: An image processing device is provided with: a movement detection unit—for detecting, from time-series images, a first feature relating to the first movement of a head portion of a person and a second feature relating to the second movement of a body portion, which is a part of the person other than the head portion; and an index value calculation unit for calculating an index value which indicates the degree of consistency between the first feature relating to the first movement of the head portion of the person and the second feature relating to the second movement of the body portion of the person.

Abstract: An information processing apparatus (2) includes an acquisition unit (211) configured to acquire a person image (IMG) including an eye area (EA) of a target person, and a determination unit (212) configured to determine that the target person impersonates another person in the case where an aperture (AP) enclosing at least a part of an eye of the target person is present in the person image.

Abstract: An image processing device is provided with: a movement detection unit- for detecting, from time-series images, a first feature relating to the first movement of a head portion of a person and a second feature relating to the second movement of a body portion, which is a part of the person other than the head portion; and an index value calculation unit for calculating an index value which indicates the degree of consistency between the first feature relating to the first movement of the head portion of the person and the second feature relating to the second movement of the body portion of the person.

Abstract: An information processing apparatus and an information processing program can generate setting information to be set in devices even in an off-line state are provided. An information processing apparatus 10 according to the present invention includes: a storage 11 that stores setting information for each of setting items relating to a device connected to a communication network N; a display part 12 that displays a setting screen to which the setting information is input on a display 20; and a controller 13 that stores the setting information input to the setting screen in the storage. The setting screen includes: a first setting screen to which the setting information for each of the setting items relating to a first device in an on-line state of being connected to the communication network N is input; and a second setting screen to which the setting information for each of the setting items relating to a second device in an off-line state of being not connected to the communication network N is input.

Abstract: A conference system, with which the convenience of setting work is high, is be provided. A conference system S includes a control unit (CU) 1 and a discussion unit (DU) 2, the DU transmits audio information to the CU, the CU includes a CU storage portion, an audio slot, and a CU control portion, the CU control portion assigns the audio slot to the DU that transmitted the running packet with the request flag added, control information for controlling operations of the CU and the DU includes addition mode information, specifying an addition mode among a plurality of addition modes for adding the request flag to the running packet, and assignment mode information, specifying an assignment mode among a plurality of assignment modes for assigning the audio slot to the DU, which transmitted the running packet with the request flag added, when the audio slot is not vacant, and the addition mode information is stored in the CU storage portion in association with the assignment mode information.

Abstract: A conference system, with which the convenience of setting work is high, is be provided. A conference system S includes a control unit (CU) 1 and a discussion unit (DU) 2, the DU transmits audio information to the CU, the CU includes a CU storage portion, an audio slot, and a CU control portion, the CU control portion assigns the audio slot to the DU that transmitted the running packet with the request flag added, control information for controlling operations of the CU and the DU includes addition mode information, specifying an addition mode among a plurality of addition modes for adding the request flag to the running packet, and assignment mode information, specifying an assignment mode among a plurality of assignment modes for assigning the audio slot to the DU, which transmitted the running packet with the request flag added, when the audio slot is not vacant, and the addition mode information is stored in the CU storage portion in association with the assignment mode information.

Abstract: An image recognition system includes a partial area determination unit for determining a plurality of learning partial areas in a learning image including an object to be recognized, a partial area set generation unit for generating a learning partial area set including the learning partial area and a plurality of peripheral areas included in a predetermined range with reference to the learning partial area, and a learning unit for selecting an area including an image suitable to be determined as an object to be identified included the object to be recognized from a plurality of areas included in the learning partial area set, to learn a classifier so as to determine a likelihood that the image included in the area is the object to be identified to be higher based on a feature amount related to the selected area.

Abstract: A linear mark detection system includes a filter value calculation unit, a filter value threshold processing unit, and a feature value output unit. The filter value calculation unit calculates, for each pixel of an image, filter values corresponding to each of a plurality of linear mark widths using pixel values inside and outside the linear mark. The filter value threshold processing unit selects the most suitable value from filter values corresponding to each of the plurality of linear mark widths as a feature value. The feature value output unit outputs, for each pixel of the image, the feature value computed by the filter value threshold processing function as the feature value corresponding to the linear mark.

Abstract: To provide a lane recognition system which can improve the lane recognition accuracy by suppressing noises that are likely to be generated respectively in an original image and a bird's-eye image. The lane recognition system recognizes a lane based on an image. The system includes: a synthesized bird's-eye image creation module which creates a synthesized bird's-eye image by connecting a plurality of bird's-eye images that are obtained by transforming respective partial regions of original images picked up at a plurality of different times into bird's-eye images; a lane line candidate extraction module which detects a lane line candidate by using information of the original images or the bird's-eye images created from the original images, and the synthesized bird's-eye image; and a lane line position estimation module which estimates a lane line position based on information of the lane line candidate.

Abstract: An image recognition system includes a partial area determination unit for determining a plurality of learning partial areas in a learning image including an object to be recognized, a partial area set generation unit for generating a learning partial area set including the learning partial area and a plurality of peripheral areas included in a predetermined range with reference to the learning partial area, and a learning unit for selecting an area including an image suitable to be determined as an object to be identified included the object to be recognized from a plurality of areas included in the learning partial area set, to learn a classifier so as to determine a likelihood that the image included in the area is the object to be identified to be higher based on a feature amount related to the selected area.

Abstract: A lane marking detection apparatus, a lane marking detection method, and a lane marking detection program is provided, which can detect a lane marking precisely even when noise is present. The lane marking detection apparatus is provided with an original image acquiring means which acquires an original image obtained by imaging a road from a traveling object traveling along the road, a lane marking position detection means which detects the relative position of a lane marking included in the road, from the traveling object, based on the original image, and a examination means which examine the result of the detection obtained by the lane marking position detection means, based on a partial image of a first image that is an original image at time t0 and the partial image of a past image that is the original image captured before time t0.

Abstract: Disclosed is a detection system including a stripe pattern foreground filtering unit, a stripe pattern background filtering unit, a stripe pattern integration filtering unit, an isolated feature point removal unit, a stripe pattern area detection unit and a stripe pattern area outputting unit. The detection system utilizes a stripe pattern area filter value that directly exploits the shape of the stripe pattern in the local processing of each pixel in an image to detect the stripe pattern area.

Abstract: Disclosed is a vanishing point detecting system that includes a straight line detecting unit, a vanishing point detecting unit, and a vanishing point outputting unit. In the vanishing point detecting unit, a vanishing point is detected with one evaluation index of vanishing point plausibility being whether or not angles of plural straight lines passing through a point in question or a vicinity thereof are sparsely distributed over a relatively wide range.

Abstract: A linear mark detection system includes a filter value calculation unit, a filter value threshold processing unit, and a feature value output unit. The filter value calculation unit calculates, for each pixel of an image, filter values corresponding to each of a plurality of linear mark widths using pixel values inside and outside the linear mark. The filter value threshold processing unit selects the most suitable value from filter values corresponding to each of the plurality of linear mark widths as a feature value. The feature value output unit outputs, for each pixel of the image, the feature value computed by the filter value threshold processing function as the feature value corresponding to the linear mark.

Abstract: A recognition system of this invention has feature point detection means (120), Hough transform means (130), and specific pattern output means (140). In the Hough transform means (130), a Hough space is designed so that a magnitude relation of a distance between points in the Hough space is equivalent to a predetermined magnitude relation of an inter-specific-pattern distance indicative of a difference between specific patterns. The recognition system detects the specific patterns using the Hough space. By adopting such a structure to express more similar specific patterns in an image as closer points also in the Hough space, it is possible to achieve an object of this invention.

Abstract: A lane marking detection apparatus, a lane marking detection method, and a lane marking detection program is provided, which can detect a lane marking precisely even when noise is present. The lane marking detection apparatus is provided with an original image acquiring means which acquires an original image obtained by imaging a road from a traveling object traveling along the road, a lane marking position detection means which detects the relative position of a lane marking included in the road, from the traveling object, based on the original image, and a examination means which examine the result of the detection obtained by the lane marking position detection means, based on a partial image of a first image that is an original image at time t0 and the partial image of a past image that is the original image captured before time t0.

Abstract: Disclosed is a detection system including a stripe pattern foreground filtering unit, a stripe pattern background filtering unit, a stripe pattern integration filtering unit, an isolated feature point removal unit, a stripe pattern area detection unit and a stripe pattern area outputting unit. The detection system utilizes a stripe pattern area filter value that directly exploits the shape of the stripe pattern in the local processing of each pixel in an image to detect the stripe pattern area.

Abstract: To provide a lane recognition system which can improve the lane recognition accuracy by suppressing noises that are likely to be generated respectively in an original image and a bird's-eye image. The lane recognition system recognizes a lane based on an image. The system includes: a synthesized bird's-eye image creation module which creates a synthesized bird's-eye image by connecting a plurality of bird's-eye images that are obtained by transforming respective partial regions of original images picked up at a plurality of different times into bird's-eye images; a lane line candidate extraction module which detects a lane line candidate by using information of the original images or the bird's-eye images created from the original images, and the synthesized bird's-eye image; and a lane line position estimation module which estimates a lane line position based on information of the lane line candidate.

Abstract: Disclosed is a vanishing point detecting system that includes a straight line detecting unit, a vanishing point detecting unit, and a vanishing point outputting unit. In the vanishing point detecting unit, a vanishing point is detected with one evaluation index of vanishing point plausibility being whether or not angles of plural straight lines passing through a point in question or a vicinity thereof are sparsely distributed over a relatively wide range.

Abstract: A recognition system of this invention has feature point detection means (120), Hough transform means (130), and specific pattern output means (140). In the Hough transform means (130), a Hough space is designed so that a magnitude relation of a distance between points in the Hough space is equivalent to a predetermined magnitude relation of an inter-specific-pattern distance indicative of a difference between specific patterns. The recognition system detects the specific patterns using the Hough space. By adopting such a structure to express more similar specific patterns in an image as closer points also in the Hough space, it is possible to achieve an object of this invention.