Abstract:
An image processing apparatus includes a first storage unit configured to store image data in order of the image data scanned in a main scanning direction, in a first storage device, a transmission unit configured to transmit pixel information of a partial region longer in the main scanning direction of the image data, from the first storage device to a second storage device, and an object discrimination unit configured to reference the pixel information stored in the second storage device and discriminate whether the partial region is an object region based on the pixel information. Thus, according to image processing apparatus, an object can be rapidly detected.
Abstract:
This invention discloses an image processing apparatus which divides moving image data at appropriate positions and sets key frames at appropriately distributed positions in the entire moving image. This image processing apparatus records action information (e.g., a zoom action) associated with actions made during image sensing and environment information (e.g., rotation information due to a pan action) associated with an image sensing environment during image sensing as additional information of the moving image data. Then, the apparatus divides moving image data for one shot into a plurality of sub-shots (S807, S811) in accordance with at least one of the recorded action information and environment information (S802-S806, S808-S810).
Abstract:
An image processing apparatus includes a moving image input unit configured to input a moving image, an object likelihood information storage unit configured to store object likelihood information in association with a corresponding position in an image for each object size in each frame included in the moving image, a determination unit configured to determine a pattern clipping position where a pattern is clipped out based on the object likelihood information stored in the object likelihood information storage unit, and an object detection unit configured to detect an object in an image based on the object likelihood information of the pattern clipped out at the pattern clipping position determined by the determination unit.
Abstract:
An image processing apparatus includes a first storage unit configured to store image data in order of the image data scanned in a main scanning direction, in a first storage device, a transmission unit configured to transmit pixel information of a partial region longer in the main scanning direction of the image data, from the first storage device to a second storage device, and an object discrimination unit configured to reference the pixel information stored in the second storage device and discriminate whether the partial region is an object region based on the pixel information. Thus, according to image processing apparatus, an object can be rapidly detected.
Abstract:
A recognition apparatus includes a calculation unit configured to calculate likelihood of each feature quantity based on the weighted distribution of the feature quantity extracted from a plurality of learning images, a correction unit configured, if a ratio of a learning image to a specific feature quantity is equal to or smaller than a predetermined ratio and a weight for the specific feature quantity is greater than a predetermined value, to correct the value of likelihood of the specific feature quantity to lower the value based on the distribution, a setting unit configured to set the likelihood corrected by the correction unit in association with a feature quantity, and a discrimination unit to extract a feature quantity from an input image and discriminate whether the input image includes a predetermined object based on the likelihood associated with the feature quantity.
Abstract:
An information processing apparatus for extracting a more appropriate representative frame image from moving image data that includes a plurality of frames of image data arranged in a time series includes: an input unit configured to input moving image data; a detecting unit configured to detect a frame image, which includes an image similar to a prescribed image pattern; a tracking unit configured to detect a frame image, which includes an image similar to the image included in the detected frame image; a storage unit configured to store successive frame images that have been detected by the tracking unit; a splitting unit configured to split the moving image data into a plurality of time intervals; and an extracting unit configured to extract a representative frame image using different evaluation rules.
Abstract:
A plurality of collation patterns having different resolutions are generated from an original collation pattern which includes a plurality of local regions. Subject reliabilities for individual local regions are calculated based on local features of the local regions in the collation patterns having different resolutions. In accordance with the subject reliabilities for individual local regions, it is determined that the original collation pattern includes a specific image of a subject.
Abstract:
An image processing apparatus includes an image input unit configured to input an image, a scanning unit configured to scan a detection window on the input image, a first discrimination unit configured to determine whether a pattern within the detection window is a subject based on a plurality of characteristic amounts obtained from within a first region among a plurality of regions within the detection window, and a second discrimination unit configured to determine, if it is determined that the pattern is not the subject by the first discrimination unit, whether the pattern is the subject based on a plurality of characteristic amounts obtained from a second region in which a probability that occlusion of the subject occurs is higher than that in the first region among the plurality of regions. Accordingly, a subject can be detected efficiently, and omissions of detection can be reduced.
Abstract:
An information processing apparatus includes a plurality of information processing units that are connected in stages. Each of the information processing units comprises a plurality of processing units configured to process information and output a processing result and an integration unit configured to input the processing result of one or a plurality of the processing units and output the processing result after integrating the processing result, and changes a connection relation between the output of the processing result from the processing units and the input to the integration unit.
Abstract:
A face area is detected from an image captured by an image pickup device, pixel values of the image are adjusted based on information concerning the detected face area, a person area is detected from the adjusted image, and the detected face area is integrated with the detected person area. With this configuration, it is possible to accurately detect an object even in a case, for example, where the brightness is varied.