Abstract: A mobile entity detection apparatus 10 includes: a feature point extraction unit 11 configured to extract, from image data output by an imaging device of a vehicle, a feature point moving in an image; an optical flow specification unit 12 configured to compare the latest image data with image data that was output in the past, and specify an optical flow for each feature point; a clustering unit 13 configured to perform clustering on the optical flow based on the optical flow and the position of the optical flow in the image, and separate the optical flow into a cluster; a filtering unit 14 configured to remove a cluster that corresponds to an object forming a background from among the clusters based on the traveling direction and speed of the vehicle; and a mobile entity specification unit 15 configured to specify a mobile entity in the image using a result of clustering after cluster removal.

Abstract: A mobile entity detection apparatus 10 includes: a feature point extraction unit 11 configured to extract, from image data output by an imaging device of a vehicle, a feature point moving in an image; an optical flow specification unit 12 configured to compare the latest image data with image data that was output in the past, and specify an optical flow for each feature point; a clustering unit 13 configured to perform clustering on the optical flow based on the optical flow and the position of the optical flow in the image, and separate the optical flow into a cluster; a filtering unit 14 configured to remove a cluster that corresponds to an object forming a background from among the clusters based on the traveling direction and speed of the vehicle; and a mobile entity specification unit 15 configured to specify a mobile entity in the image using a result of clustering after cluster removal.

Abstract: A field-programmable gate array (FPGA) coarse Hough transform unit (102) performs on an FPGA a first coarse-precision Hough transform upon an image that has been applied as input to an image input unit (101), and supplies candidate location information obtained by the first Hough transform and the image to an external memory (103). A fine Hough transform unit (104) reads the candidate location information and the image stored in the external memory (103), uses the candidate location information to perform, on a general-purpose processor, a second detailed-precision Hough transform upon the image, and supplies detailed-precision location information of a two-dimensional pattern that is the object of recognition within the image to the external memory (103).

Abstract: A field-programmable gate array (FPGA) coarse Hough transform unit (102) performs on an FPGA a first coarse-precision Hough transform upon an image that has been applied as input to an image input unit (101), and supplies candidate location information obtained by the first Hough transform and the image to an external memory (103). A fine Hough transform unit (104) reads the candidate location information and the image stored in the external memory (103), uses the candidate location information to perform, on a general-purpose processor, a second detailed-precision Hough transform upon the image, and supplies detailed-precision location information of a two-dimensional pattern that is the object of recognition within the image to the external memory (103).