Fujitsu Corporation

Kozo Baba

Hisao Ito

Akiyoshi Tafuku

Taku Katagiri

Masatoshi Tohno

Norio Hashiguchi

Tomonobu Takashima

Kunikazu Takahashi

Tadao Omi

Taku Saito

Jou Tanji

Daisuke Ueno

Syoji Kita

An image processing apparatus includes an acquiring unit and a determining unit. For example, the acquiring unit acquires an imaging image captured by a camera mounted on a vehicle and registers the acquired imaging image in drive recorder information. When a vanishing point is detected from the imaging image, the determining unit determines that the imaging direction of the imaging device is normal such that the front of the vehicle is normally imaged. When the vanishing point is not detected from the acquired the imaging image, the determining unit determines that the imaging direction of the imaging device is abnormal such that the front of the vehicle is not normally imaged.

Determination method and determination apparatus

An image processing device includes an acquisition unit, an extraction unit, and a detection unit. The acquisition unit acquires image data for each of frame numbers from a drive recorder or the like. The extraction unit extracts a plurality of straight lines from the image data on the basis of drive recorder information. The detection unit detects a tilt of an image capturing direction of a camera according to a magnitude of an angle between a vertical axis direction of the image data and the extracted plurality of lines.

Method of detecting tilt of image capturing direction and apparatus of detecting tilt of image capturing direction

A method includes obtaining a plurality of images that are continuously captured, detecting a first region indicating a feature value corresponding to a license plate, in a region that indicates a feature value corresponding to a vehicle and that is included in a first image among the plurality of images, based on a feature value of each of the plurality of images, determining a second region in the plurality of images, the second region indicating a feature value corresponding to a license plate, at least a part of the second region overlapping the first region in an image different from the first image, and outputting the second region as a license plate region.

Image processing method and image processing apparatus

An image processing apparatus includes an acquiring unit, and determining unit. The acquiring unit acquires captured images from an imaging device mounted on a vehicle. The determining unit determines the normality of the imaging direction of the imaging device in accordance with whether an appearance pattern of a combination of a portion in which a variation is detected and a portion in which a variation is not detected among the acquired captured images corresponds to a predetermined pattern.

Method of determining normality of imaging direction, and evaluation device of evaluating attachment state of imaging device

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

An image processing method for calculating feature amounts of a facial part in a face on the basis of a plurality of image data obtained in chronological order, comparing the calculated feature amounts with a threshold value, and recognizing the facial part, includes: calculating face orientations on the basis of image data; storing, in a storage, the feature amounts calculated from the image data, the feature amounts being associated with the face orientations; and recognizing a facial part in different image data of the face other than the plurality of the image data on the basis of a feature amount calculated from the different image data, the feature amounts stored in the storage associated with the face orientation in the different image data, and a threshold.

Image processing method, image processing apparatus, image processing system and computer for recognizing shape change of a facial part

Provided are an image processing method, an image processing system, an image processing device and a computer program for detecting a detection object such as nares of the driver with a high degree of accuracy in, for example, a system using an in-vehicle camera which is mounted on a vehicle and takes an image of the face of the driver. A detection object is diversified by a variety of detection methods such as a method for detecting a plurality of locations in the vertical direction as candidates during image pickup of an image, detecting a range to be a candidate of a detection object on the basis of the brightness of a pixel for each of rows of pixels lined up in the horizontal direction corresponding to each detected location and specifying a detection object from candidates of a detection object on the basis of the length of the detected range.

Image object detection using separate ranges from both image detections

A system using an in-vehicle camera mounted on a vehicle for an image pickup object of the face of the driver, for: continuously taking an image of the image pickup object; performing manipulation, such as enlargement of an area including the image pickup object with a reference point being the center, for a second image based on image pickup after a first image, on the basis of the range of the image pickup object detected from the first image, the width of the facial contour of the driver, for example, and also a reference point such as the center of the face to be decided based on the location of the eyes and nose of the driver; and performing image processing, such as detection of the range of the image pickup object and decision of the reference point, for the manipulated second image.

Image processing method, image processing system, image pickup device, image processing device and computer program for manipulating a plurality of images

Using an on-vehicle camera mounted on a vehicle to view the face of a driver as an imaging object, an image processing system judges the presence/absence of the imaging object in the image. An average luminance of an image when light of a particular wavelength is irradiated in an imaging direction is compared to an average luminance of an image imaged when no light is irradiated. When the difference between the average luminance values is equal to a reference value or less, it is judged that the imaging object is absent in the image by imaging.

Image processing system that detects an object by comparison of a difference between luminance of an illuminated and non-illuminated image

For example, a plurality of elliptical candidate areas that become candidate areas of detecting objects are set in an image, characteristic values such as average values of luminance of the pixels inside and outside the set candidate areas are compared, and a candidate area whose difference of the characteristic values is determined to be the maximum is detected as the area of the detecting object. In addition, central moment of the detecting object is calculated, and the inclination of the detecting object in the image is detected based on the calculated central moment. Further, two specific points such as eyes of the driver included in the detecting object are detected, and the inclination of the detecting object in the image determined by the detected two points is detected.

Image processing method, image processing system, image processing device, and computer program product

There are provided an image processing method, and an image processing system, an image processing device, and a computer program product capable of detecting a position of a fringe portion of a detecting object such as an outline of a face of a driver with high precision, even when a variation of illuminance occurs locally in a system using, for example, an on-vehicle camera mounted on a vehicle for imaging the face of the driver. Luminance of pixels arranged in a first direction such as a horizontal direction of an image is subjected to quadric differential, and data based on a quadratic differentiation result is accumulated in a second direction such as a vertical direction, and based on an accumulated result, a position in the first direction of the detecting object in the image is detected.

Image processing method, image processing system, image processing device, and computer program

The CPU of a face orientation detection apparatus which acquires an image frame photographed by a camera through a cable detects the face region in the horizontal direction of the acquired image frame by executing computer programs stored on a hard disk. Moreover, the CPU detects the eye position in the vertical direction from the image frame, and detects the nose position in the horizontal direction based on the detected eye position. Furthermore, the CPU detects the orientation of the face included in the image frame, based on the detected nose position and face region.

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Oita, Japan

Kozo Baba