Fujitsu Corporation

Kunikazu Takahashi

Kenji Kodama

Kozo Baba

Takako Shinjo

Atsuyoshi Ando

Norio Hashiguchi

Teruo Shimomura

Sahoko Hata

Tomoyuki Harada

Noboru Matsubara

Nakaba Yuhara

Atsuyoshi Andou

Masakatsu Kamegaya

Syoji Kita

Yutaka Ueyama

Kazuyuki Yasutake

Yuji Nishimaki

Hiroshi Sato

An image processing apparatus includes a calculating unit and a detecting unit. The calculating unit calculates an additional value of a luminance values for each coordinate value in a first direction. The calculating unit calculates an additional value of the luminance values for each coordinate value in a second direction. The detecting unit detects a region of the image in which additional values of the luminance values for each coordinate value in the first direction are equal or a region in which additional values of the luminance values for each coordinate value in the second direction are equal.

Image processing apparatus and image processing method

An image processing apparatusaccording to an embodiment includes a detection unitand an identification unit. The detection unitincluded in the image processing apparatusdetects a region in which a pixel value is changed between frames included in moving image data. The detection unitoutputs a detected result to the identification unit. The identification unitsets a circumscribed rectangle to the region detected by the detection unit. The identification unitspecifies a frame including a detection target based on a filling ratio of the region to the circumscribed rectangle.

Image target detecting apparatus and method

An image processing apparatus includes a processor. The processor is configured to execute a process including creating an average image of difference images in moving picture data based on a difference between a first frame and a second frame adjacent to the first frame, the first frame and the second frame included in the moving picture data, calculating a sum total of luminance values arranged in a lateral direction of the average image for each point in a longitudinal direction of the average image, selecting a predetermined number of points that are higher in value of a secondary differential value of the sum total of luminance values, from among points located in a downward direction from a position of a vanishing point in the average image, and firstly specifying a point that is on a boundary between a hood and a road from among the predetermined number of selected points.

Apparatus and method for determining monitoring object region in image

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 recognition device includes a component identifying unit, an identification-region defining unit, a vehicle-image generating unit, and a data reduction-level setting unit. The component identifying unit identifies a component of a vehicle in an original image. The identification-region defining unit defines an identification region including an identification component for identifying the vehicle based on the component. The vehicle-image generating unit extracts the identification region and generates a vehicle image. The data reduction-level setting unit sets a data reduction level based on which a vehicle image is to be generated from an original image satisfying a predetermined condition.

Apparatus, method and computer product for generating vehicle image

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.

Color extraction method and apparatus

A bandwidth control server, a bandwidth control program recorded on a computer readable record medium, and a monitoring system that control the sending of image data obtained by cameras in accordance with priority corresponding to a situation. A setting information storage section stores setting information regarding a camera installed at each point. When disaster information is acquired, a disaster detection section extracts a disaster type and a disaster area from the disaster information. A priority determination section searches the setting information on the basis of the disaster type and the disaster area and extracts setting information corresponding to the disaster type. Then the priority determination section determines priority for sending image data obtained by cameras installed in the disaster area on the basis of the extracted setting information. A bandwidth control section ensures bandwidths which can be used for sending the image data in descending order of the priority on the basis of the priority and bandwidth information acquired by a network monitoring section.

Bandwidth control server, computer readable record medium on which bandwidth control program is recorded, and monitoring system

A vehicle search system is provided, which is capable of easily and efficiently searching for a particular vehicle image based on vague and uncertain information. The vehicle search system includes an image database for accumulating vehicle images photographed by a stationary camera placed on the road under a condition that the vehicle images are associated with at least photographing date and time information and photographing place information of the vehicle image; an image recognizing part for extracting feature information (vehicle color, vehicle shape, etc.) from the vehicle image; an image data managing part for selecting vehicle images from the image database, based on at least one of the photographing date and time information, the photographing place information, and the feature information; and a display processing part for displaying the selected vehicle images in a two-dimensional space or a simulated three-dimensional space on a display, in an arrangement in accordance with similarity of at least one of the photographing date and time information, the photographing place information, and the feature information.

Vehicle search system and vehicle search method

A method, device and computer program for mobile object information management program includes obtaining a first image by photographing identification information of a mobile object, executing character recognition process on the first image to obtain a first character recognition result, determining accuracy of the first character recognition result, registering, as the identification information corresponding to the mobile object, a plurality of first character recognition results, for each of which the accuracy is determined as low, and outputting the first character recognition results registered.

Method and device for mobile object information management, and computer product

An apparatus for setting an image-capturing condition includes a travel direction storing unit that receives information on a travel direction of a moving object, and stores the information received, and an image-capturing condition setting unit that sets, based on the information stored, a condition for capturing an image that includes identification data for identifying the moving object.

Method of and apparatus for setting image-capturing conditions, and computer program

An information entry apparatus and an information entry system provided with that apparatus which enable the efficient entry of required information in real time in a plurality of corresponding fields of a screen by an information entry operation of a level of simplicity equal to that of writing a memo about a case, the information entry apparatus provided with an alphanumeric entry unit for entering alphanumeric string information, a display unit for displaying keywords comprised of predetermined alphanumeric strings in a plurality of corresponding fields on a display screen, a word dictionary for storing a plurality of keywords corresponding to the plurality of fields and a plurality of similar words for deducing those keywords linked with each of those keywords, and an alphanumeric information processing unit for cutting out predetermined word strings from the entered alphanumeric string, searching through the word dictionary by the cut out words, extracting corresponding group of keywords from a dictionary column for which matches are obtained by comparison with keywords of the dictionary or similar words, and displaying these all at once in the plurality of corresponding fields of the display unit.

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Kawasaki, Japan

Kunikazu Takahashi