Abstract: According to one embodiment, an image processing apparatus connected to an external memory and a cache memory. The apparatus includes a counter, a coordinate calculator, a tag checker, a pixel referring module, a pixel value calculator and an outputting module. The counter determines a converted coordinate according to a predetermined execution sequence. The coordinate calculator calculates a unconverted coordinate used to calculate a converted pixel value located at the converted coordinate. The tag checker generates a conversion request to calculate the converted pixel value with reference to an unconverted pixel located at the unconverted coordinate. The pixel referring module reads the unconverted pixel from the cache memory based on the conversion request when the unconverted pixel is stored in the cache memory. The pixel value calculator calculates the converted pixel value with reference to the read unconverted pixel.

Abstract: A gesture recognition apparatus including a detector, a controller and a gesture recognizer, and is able to detect a portion to be detected using an image captured at a first resolution without reducing the number of images to be entered per unit of time to an object detector by detecting an auxiliary portion instead when the portion to be detected is not detected at a second resolution, estimating the position of the auxiliary portion based on the position of the auxiliary portion, and extracting the periphery thereof from the image captured at the first resolution.

Abstract: According to one embodiment, an image processing apparatus connected to an external memory and a cache memory. The apparatus includes a counter, a coordinate calculator, a tag checker, a pixel referring module, a pixel value calculator and an outputting module. The counter determines a converted coordinate according to a predetermined execution sequence. The coordinate calculator calculates a unconverted coordinate used to calculate a converted pixel value located at the converted coordinate. The tag checker generates a conversion request to calculate the converted pixel value with reference to an unconverted pixel located at the unconverted coordinate. The pixel referring module reads the unconverted pixel from the cache memory based on the conversion request when the unconverted pixel is stored in the cache memory. The pixel value calculator calculates the converted pixel value with reference to the read unconverted pixel.

Abstract: An image processing apparatus estimates an estimated object region including an object on an input image on the basis of a stored object data, obtains a similarity distribution of the estimated object region and peripheral regions thereof by at least one classifier, and obtains an object region coordinate and a template image on the basis of the similarity distribution.

Abstract: A disparity profile indicating a relation between a perpendicular position on time series images and a disparity on a target monitoring area based on an arrangement of a camera is calculated. Processing areas are set, by setting a height of each of the processing areas using a length at the bottom of the image obtained by converting a reference value of a height of an object according to the profile, while setting a position of each bottom of processing areas on the image. An object having a height higher than a certain height with respect to the monitoring area, unify an object detection result in each processing area according to the disparity of the object, and detect the object of the whole monitoring area from each processing area is detected. Position and speed for the object detected by the object primary detection unit are estimated.

Abstract: According to one embodiment, an image processing apparatus includes an image-capturing module configured to captures an image, a module configured to detect a first object region from the image, a module configured to extract color information of an image of the first object region, a module configured to detect candidates of a second object region, which is an object of recognition, from the image, a module configured to extract color information of an image of the second object region, and sets reference color data, a module configured to select the candidates of the second object region on the basis of the reference color data and the color information of the image of the first object region with respect to each of the candidates of the second object region, and a module configured to output, as an object of recognition, any one of the candidates of the second object region.

Abstract: According to one embodiment, an image processing apparatus includes an image-capturing module configured to captures an image, a module configured to detect a first object region from the image, a module configured to extract color information of an image of the first object region, a module configured to detect candidates of a second object region, which is an object of recognition, from the image, a module configured to extract color information of an image of the second object region, and sets reference color data, a module configured to select the candidates of the second object region on the basis of the reference color data and the color information of the image of the first object region with respect to each of the candidates of the second object region, and a module configured to output, as an object of recognition, any one of the candidates of the second object region.

Abstract: According to one embodiment, an image processing apparatus includes an image-capturing module configured to captures an image, a module configured to detect a first object region from the image, a module configured to extract color information of an image of the first object region, a module configured to detect candidates of a second object region, which is an object of recognition, from the image, a module configured to extract color information of an image of the second object region, and sets reference color data, a module configured to select the candidates of the second object region on the basis of the reference color data and the color information of the image of the first object region with respect to each of the candidates of the second object region, and a module configured to output, as an object of recognition, any one of the candidates of the second object region.

Abstract: According to one embodiment, an image processing apparatus includes an image-capturing module configured to captures an image, a module configured to detect a first object region from the image, a module configured to extract color information of an image of the first object region, a module configured to detect candidates of a second object region, which is an object of recognition, from the image, a module configured to extract color information of an image of the second object region, and sets reference color data, a module configured to select the candidates of the second object region on the basis of the reference color data and the color information of the image of the first object region with respect to each of the candidates of the second object region, and a module configured to output, as an object of recognition, any one of the candidates of the second object region.

Abstract: An image processing apparatus estimates an estimated object region including an object on an input image on the basis of a stored object data, obtains a similarity distribution of the estimated object region and peripheral regions thereof by at least one classifier, and obtains an object region coordinate and a template image on the basis of the similarity distribution.

Abstract: A disparity profile indicating a relation between a perpendicular position on time series images and a disparity on a target monitoring area based on an arrangement of a camera is calculated. Processing areas are set, by setting a height of each of the processing areas using a length at the bottom of the image obtained by converting a reference value of a height of an object according to the profile, while setting a position of each bottom of processing areas on the image. An object having a height higher than a certain height with respect to the monitoring area, unify an object detection result in each processing area according to the disparity of the object, and detect the object of the whole monitoring area from each processing area is detected. Position and speed for the object detected by the object primary detection unit are estimated.

Abstract: A gesture recognition apparatus including a detector, a controller and a gesture recognizer, and is able to detect a portion to be detected using an image captured at a first resolution without reducing the number of images to be entered per unit of time to an object detector by detecting an auxiliary portion instead when the portion to be detected is not detected at a second resolution, estimating the position of the auxiliary portion based on the position of the auxiliary portion, and extracting the periphery thereof from the image captured at the first resolution.

Abstract: An image processing apparatus includes an image input unit, a line segment extractor, an area extractor, a traveled amount estimator, a kerb and gutter model generator and a kerb and gutter detector, in which an image is divided into areas by a line segment extending along the direction of travel, and kinetic models according to a road surface, a kerb and a gutter respectively are applied to pixels in the area for determination.

Abstract: Image processing apparatus transforms an input image from a first camera by using a parameter of affine transformation based on a position of a second camera. The first camera and the second camera are loaded onto a vehicle respectively and input an image of a road plane in time series. A status prediction unit predicts a temporary status information of the vehicle of timing (t) by using a status information of the vehicle of timing (t?1). A parallel moving vector estimation unit estimates a parallel moving vector of timing (t) included in the parameter of affine transformation by using an input image of timing (t) from the first camera, an input image of timing (t) from the second camera, and the temporary status information. A status estimation unit estimates a status information of the vehicle of timing (t) by using the parallel moving vector and the temporary status information.

Abstract: A calibration apparatus includes an obstacle detection unit that detects an obstacle on an arbitrary surface in a three-dimensional space in one of a plurality of images obtained by taking an image pickup subject from a plurality of directions, by using a transform parameter transforming a point on the surface into a point on the surface of other image, and computes position coordinates of the obstacle on each of the images; and a transform parameter adjustment unit that receives a distance data between an image pickup position and the obstacle, and adjusts the transform parameter with the received distance data and position coordinates of the detected obstacle. The obstacle detection unit detects the obstacle by using the transform parameter adjusted by the transform parameter adjustment unit, and computes the position coordinates of the detected obstacle.

Abstract: A parallel computer of this invention includes a plurality of memory elements and a plurality of processing elements and each of the processing elements is connected to logically adjacent memory elements. For example, the processing element which corresponds to a logical position (i, j) is connected to the memory elements which correspond to a plurality of logical positions (i, j), (i, j+1), (i+1, j) and (i+1, j+1). It is preferable if each of the memory elements can be accessed from the exterior. According to this invention, efficient memory access can be made and the parallel processing can be performed at high speed without increasing the hardware amount and making the control operation complicated. Further, the operation speed of the image processing can be enhanced by constructing an image memory by use of a plurality of memory elements and causing the processing element to effect the image processing in a distributed and cooperative manner.

Abstract: Image processing apparatus transforms an input image from a first camera by using a parameter of affine transformation based on a position of a second camera. The first camera and the second camera are loaded onto a vehicle respectively and input an image of a road plane in time series. A status prediction unit predicts a temporary status information of the vehicle of timing (t) by using a status information of the vehicle of timing (t−1). A parallel moving vector estimation unit estimates a parallel moving vector of timing (t) included in the parameter of affine transformation by using an input image of timing (t) from the first camera, an input image of timing (t) from the second camera, and the temporary status information. A status estimation unit estimates a status information of the vehicle of timing (t) by using the parallel moving vector and the temporary status information.

Abstract: A parallel computer of this invention includes a plurality of memory elements and a plurality of processing elements and each of the processing elements is connected to logically adjacent memory elements. For example, the processing elements which corresponds to a logical position (i, j) is connected to the memory elements which correspond to a plurality of logical positions (i, j), (i, j+1), (i+1, j) and (i+1, j+1). It is preferable if each of the memory elements can be accessed from the exterior. According to this invention, efficient memory access can be made and the parallel processing can be performed at high speed without increasing the hardware amount and making the control operation complicated. Further, the operation speed of the image processing can be enhanced by constructing an image memory by use of a plurality of memory elements and causing the processing element to effect the image processing in a distributed and cooperative manner.

Abstract: A parallel computer of this invention includes a plurality of memory elements and a plurality of processing elements and each of the processing elements is connected to logically adjacent memory elements. For example, the processing elements which corresponds to a logical position (i, j) is connected to the memory elements which correspond to a plurality of logical positions (i, j), (i, j+1), (i+1, j) and (i+1, j+1). It is preferable if each of the memory elements can be accessed from the exterior. According to this invention, efficient memory access can be made and the parallel processing can be performed at high speed without increasing the hardware amount and making the control operation complicated. Further, the operation speed of the image processing can be enhanced by constructing an image memory by use of a plurality of memory elements and causing the processing element to effect the image processing in a distributed and cooperative manner.

Abstract: A parallel computer of this invention includes a plurality of memory elements and a plurality of processing elements and each of the processing elements is connected to logically adjacent memory elements. For example, the processing elements which corresponds to a logical position (i, j) is connected to the memory elements which correspond to a plurality of logical positions (i, j), (i, j+1), (i+1, j) and (i+1, j+1). It is preferable if each of the memory elements can be accessed from the exterior. According to this invention, efficient memory access can be made and the parallel processing can be performed at high speed without increasing the hardware amount and making the control operation complicated. Further, the operation speed of the image processing can be enhanced by constructing an image memory by use of a plurality of memory elements and causing the processing element to effect the image processing in a distributed and cooperative manner.