Fujitsu Corporation

Kenji Kodama

Kunikazu Takahashi

Takako Shinjo

Teruo Shimomura

Atsuyoshi Ando

Hiroya Watanabe

Shinji Shigeno

Akihito Kanamori

Sahoko Hata

Atsuyoshi Andou

A method performed by a computer for image analyzation includes: receiving, by a processor of the computer, an image captured by an imaging device; specifying, by the processor of the computer, first and second areas in the image; detecting, by the processor of the computer, a target object from the image in accordance with a certain pattern indicating a range of color saturation in an analysis of a color of the target object; and extending, by the processor of the computer, the range of color saturation in processing of the detecting the target object, when luminance of the first area in the image is lower than a first threshold and luminance of the second area in the image is equal to or higher than a second threshold.

Method, apparatus for image analysis based on color saturation, and non-transitory computer-readable storage medium

A method performed by a computer, the method includes obtaining a plurality of images each of which includes a plurality of animals, the plurality of animals being attached with a plurality of attachment objects respectively, the attachment objects having respective different colors, using at least one image among the plurality of images, detecting the colors of the plurality of attachment objects respectively, using the plurality of images, detecting movements of the plurality of respective attachment objects, based on the colors of the plurality of attachment objects, and in accordance with the respective movements of the plurality of attachment objects, determining respective activity quantities of the plurality of animals.

Method, information processing apparatus and non-transitory computer-readable storage medium

The pixels located at equal intervals in a shot image are converted into intensity components and applied with a differential filter. The number of the obtained variations that have values larger than or equal to a certain value among the obtained variations is counted. Then discrimination of a vehicle shot in the target image is executed on the basis of the counted value. The counted value varies depending on a size of a shot object in a shot image. The counted value is large when an occupied area of the object is large, and the counted value is small when the occupied area of the object is small. By so doing, it is advantageously possible to properly discriminate a vehicle.

Vehicle discrimination apparatus, method, and computer readable medium storing program thereof

A vehicle-type determination apparatus includes a vehicle-portion extracting unit, a hood recognizing unit, and a vehicle-type determining unit. The vehicle-portion extracting unit extracts a vehicle portion from an image of a recognition object. The hood recognizing unit recognizes an area corresponding to a hood in the vehicle portion extracted by the vehicle-portion extracting unit. The vehicle-type determining unit determines the vehicle type based on the degree of inclination of a side of the hood area recognized by the hood recognizing unit.

Apparatus, method, and computer product for vehicle-type determination using image data of vehicle

A color classification method including: determining a plurality of predetermined process target regions from a plurality of pickup images taken by an imaging device; calculating a plurality of color distributions of pixels contained in the respective determined process target regions; and forming a plurality of clusters by executing a clustering process based on the calculated color distributions for the pickup images, the method being for classifying a plurality of colors with respect to the respective formed clusters, the forming step including: extracting predetermined number of the classified colors, whose calculated rates are highest in the calculated plurality of the rates, from among the predetermined classified colors; defining a plurality of color spaces, dimensions of each of which are selected from the predetermined number of the extracted classified colors.

Color classification method, color recognition method, color classification apparatus, color recognition apparatus, color recognition system, computer program, and recording medium

This invention is a technique to presume colors of an image. A color extraction method according to this invention include a luminance calculation step of calculating a luminance in a color extraction region, which is included in an image and from which a color is to be extracted, and storing the calculated luminance into a storage device; a color name extraction of referring to a luminance database storing a color name and a luminance corresponding to the color name to extract a color name in the color extraction region by using, as a main judgment element, the luminance in the color extraction region, which is stored in the storage device. As a result, it is possible to presume a color even in a case of the monochromatic image or color image photographed in the night.

Growing community of inventors

Oita, Japan

Kenji Kodama