Fujitsu Corporation

Takafumi Edanami

Yutaka Katsuyama

Noriyuki Fukuyama

Hiroshi Iwaki

Hiroshi Watanabe

Masami Mizutani

Kenzo Kobayashi

Yasushi Umezaki

Mitsuyo Hasegawa

Hirotaka Tashima

Akinori Momii

Nobuhiro Tsunashima

Ikumi Edanami, Legal Representative

An object detection system, comprising an unit for calculating relationship information between a position on an image of an object existing on a road surface and a size of an image picked up by one camera, using an actual size of a target object and camera parameter, a unit for evaluating an existence possibility of a symmetry axis in a specific pixel incase of an interval determined on the basis of geometric information, a unit for evaluating density and continuity in the vicinity of the center axis of a rectangular area of a pixel whose symmetry value is equal to or more than a specific threshold and detecting the lowest end point of the symmetric object and a unit for outputting a position and size of a candidate area of the symmetric object on the basis of the lowest end point.

Object detection system and method

A recording medium, a parking support apparatus and a parking support screen for displaying an image allow the driver of a vehicle to easily grasp the situation while maneuvering the vehicle for parking. A computer-readable recording medium storing a parking support program for causing a computer to display an image for supporting the operation of parking an own vehicle causes the computer to execute an image pickup step that shoots the environment of the own vehicle to acquire a picked up image of the environment, detects the position of the own vehicle to define it as a shooting position and stores the picked up image and the shooting position in association with each other, an image generation step that generates an environment image that is an image of the environment as viewed from a predetermined viewpoint to detect the position of the own vehicle according to the picked up image and the shooting position as stored in the image pickup step and the predetermined viewpoint and also an own vehicle image that is an image of the own vehicle as viewed from the viewpoint according to the position of the own vehicle, the profile information of the own vehicle that is stored in advance and the viewpoint and then generates a synthetic image that is an image synthesized from the environment image and the own vehicle image and a display step that displays the synthetic image generated in the image generation step.

Recording medium, parking support apparatus and parking support screen

A character recognition method is provided, in which the method includes the steps of: picking up images in a motion picture by changing brightness for each image; extracting a character area from each image; recognizing at least one character in the character area by performing a matching process between the character area and dictionary images for each image, and determining a character recognition result for each image; and selecting a final character recognition result of which the matching degree is the highest from the character recognition results of the images. Accordingly, even when a character is too dark to recognize due to shadows in the daytime or a character is too bright to recognize due to irradiation in the nighttime, the character can be recognized by using images having differing brightness.

Character recognition method and apparatus

There is provided an image control apparatus which incorporates an automatic configuration mechanism for setting parameters used in event detection, to thereby perform efficient event detection, and improve quality and reliability of image monitoring control. An encoding section encodes an image from a monitoring camera. A reduced image generation section performs simplified decoding of an encoded image to generate a reduced image. A feature amount extraction section detects an image event from the reduced image and extracts feature amounts therefrom. A screen display control section performs screen display control such that a listing of static images of the reduced image is displayed on a display, and a detection event can be set which is an event to be detected. A detection dictionary-preparing section measures variance values from the feature amounts of the detection event to thereby prepare a detection dictionary containing detection parameters which are feature amounts having small variance values. An event detection control section calculates distances between the detection dictionary and the feature amounts to determine a detection range. An image recording section compares the distances and a threshold value for recording images, and based on a result of the comparison, records monitored images.

Image control apparatus

A monitoring system using an imaging device like a TV camera, etc. enhances a monitoring accuracy without involving manual operations and increasing costs for installing the monitoring system. Two lengths of linear components parallel to each other are extracted from data of an image taken by the imaging device. A rotational angle and an elevation angle of the imaging device are calculated from a positional relationship between those two lengths of linear components and a view point of the imaging device. Obtained is a ratio of a line-to-line distance between the two lengths of linear components when transforming coordinates of the two lengths of linear components on an image plane into coordinates on an imaginary plane to a line-to-line distance between the two lengths of linear components in a real space. A height of position from the plane for installing the imaging device is obtained from this ratio.

Installing posture parameter auto extracting method of imaging device, and monitoring system using the imaging device

A traffic monitoring apparatus that is used to reliably detect the occurrence of an abnormal situation, such as a traffic accident. An imaging device produces and outputs images of a point to be monitored at predetermined intervals. Image inputting unit of the traffic monitoring apparatus inputs images output from the imaging device. Move vector extracting unit first generates a background image from a plurality of images input, then specifies areas where a moving object exists by calculating the difference between the background image and a newly input image, and then extracts move vectors from the specified areas. Parameter calculating unit calculates the slope and intercept, being parameters, of a move vector by considering the move vector as a segment. Plotting unit plots parameters for each move vector in a two-dimensional coordinate system with slope and intercept as its bases. Abnormality judging unit judges, in the case of the parameters being plotted in an unusual area, that an abnormal situation has occurred and informs a control center etc. (not shown) via a network of this.

Traffic monitoring apparatus

A method for measuring the speed of a vehicle which enables measurement of the speed of a vehicle with a high accuracy by an image pickup camera mounted to a single simple supporting pole installed at the side of a field, including capturing a vehicle in motion by an image pickup unit mounted on a support provided at the side of a field, calculating an amount of movement in the vertical direction by an image of the vehicle captured by the image pickup unit on a display screen displaying the image, calculating an amount of movement in the horizontal direction by the image of the vehicle captured by the image pickup unit on the display screen displaying the image, converting the calculated amount of vertical movement and amount of horizontal movement based on information of the capture location of the image pickup unit in the real space of the vehicle and information of the attitude of the image pickup camera to an amount of vertical movement and amount of horizontal movement in that real space, and computing the speed of the vehicle from the amount of vertical movement and amount of horizontal movement in the real space of the vehicle and the movement time.

Method and apparatus for measuring speed of vehicle

A first camera having a fish-eye lens and a second camera having a fish-eye lens are disposed with the respective fish-eye lenses faced with each other. An image pick-up range of the first camera and an image pick-up range of the second camera are partially overlapped, and only a relatively narrow area at the backside of each camera becomes a blind area. A processor sets a frame F in the image pick-up area of the first camera and the image pick-up area of the second camera respectively corresponding to a set monitoring range. The image data within these frames F are taken out and distortions of the image due to the characteristics of the fish-eye lenses and are eliminated to obtain first and second transformed frame data. These transformed frame data are combined by an image combining unit to obtain image data corresponding the monitoring range free from any gap. The combined image data is displayed in a monitor through a PC

Monitoring system and monitoring method

A display control system for a videoconference terminal capable of displaying proper images of participants. A video camera captures wide-angle source pictures including the images of participants. The source pictures are sent to a participant position detector and image clipping unit. The participant position detector detects a participant position by examining the source pictures. Depending on the on-screen movement observed in the participant position detected by the participant position detector, the image clipping unit determines an appropriate clipping window. It clips the desired image out of the source pictures as defined by the clipping window. A screen adjustment unit adjusts the image size so that it will fit to the actual screen size.

Display control system for videoconference terminals

An automatic monitoring apparatus for automatically detecting an object to be detected, such as a suspicious person, based on the picture obtained from an image pickup device. Moving object detecting unit detects information about a moving object in the picture, based on the picture signal input from the image pickup device. Characteristic quantity calculating unit calculates a characteristic quantity of the moving object based on the information detected by the moving object detecting unit. Characteristic quantity storing unit stores at least a characteristic quantity relating to a non-detection object that should not be detected. Determining unit compares the characteristic quantity of the moving object, calculated by the characteristic quantity calculating unit, with the characteristic quantity stored in the characteristic quantity storing unit, to determine whether or not the moving object is an object to be detected. Storage commanding unit causes the characteristic quantity of the moving object, calculated by the characteristic quantity calculating unit, to be selectively stored in the characteristic quantity storing unit.

Automatic monitoring apparatus

An image processing apparatus with interframe interpolation capabilities for reproducing a sequence of video frames by performing a frame interpolation between two given video frame images to compensate for dropped frames. The image processing system comprises an outline detection unit to detect the outline of each moving object contained in a frame image and an affine parameter calculation unit to calculate first affine parameters based on the geometrical relationship between one outline image at a first point in time and another outline image at a second point in time. Based on the first affine parameters, an affine parameter interpolation unit performs a linear interpolation to produce second affine parameters corresponding to a third point in time between the first and second points in time. An interpolated image generation unit then applies an affine transformation to the object images at the first or second point in time, using the second affine parameters supplied from the affine parameter interpolation unit, thereby generating another frame image of each moving object at the third point in time.

Image processing apparatus with interframe interpolation capabilities

A character recognition apparatus for detecting a character which is represented by an image data, by extracting a characteristic quantity of the character from the image data of the character, and comparing the characteristic quantity with characteristic quantities of characters which are memorized in a dictionary. Before the above comparison, a modification of the above characteristic quantity which is extracted from the image data is carried out, where the modification corresponds to a magnification or reduction of the scale of the above image data to equalize the scale of of the above image data of the character with the scales of the characters of which the characteristic quantities are memorized in the above dictionary. Further, a magnification or reduction of the width of the character image to equalize the width of of the character image with the width of the characters of which the characteristic quantities are memorized in the above dictionary.

Growing community of inventors

Kawasaki, Japan

Takafumi Edanami