Aisin Seiki Kabushiki Kaisha

Toyota Jidosha Kabushiki Kaisha

Denso Corporation

Aisin Corporation

Jun Adachi

Shinichi Kojima

Takashi Hiramaki

Kenichi Ohue

Yuji Ninagawa

Tomoharu Suzuki

Shigeyasu Uozumi

Kentaro Takahashi

Satoru Nakanishi

Yukihiko Yoshinaga

Kazuya Watanabe

Kenichi Ogawa

Yoshinao Takemae

Takanori Morita

Takuhiro Omi

Tomohisa Yamashita

Hiroyuki Tachibana

Yoshiki Ninomiya

Takashi Naito

Shin-ichi Kojima

Kosuke Sato

Nobuyuki Shiraki

Hiroshi Ishiguro

Tadashi Asano

Yoshikuni Hashimoto

Koki Ueda

Yoshihito Kokubo

Yoshihisa Suetsugu

Masahiro Mizuno

Hiroyuki Watanabe

A specific area detection device that detects a specific area in an imaging area based on a captured image includes: an estimation unit configured to estimate a plurality of points and a direction of a straight line connecting two predetermined points among the plurality of points from a captured image using a learning model created by learning about a specific area defined by a predetermined number of the points in an imaging area using a captured image for learning; and a detection unit configured to detect the specific area by classifying the plurality of points for each specific area based on the direction.

Specific area detection device

Provided is a parking assistance device that can obtain information regarding the height from a parking road surface of an object without acquiring height information of an object in advance. The parking assistance device includes: an emission unit configured to emit ultrasonic waves in at least an outward lateral direction of a vehicle; a reception unit configured to receive reflection waves from an object reflecting the emitted ultrasonic waves; and an object determination unit configured to receive the reflection waves from an object existing on a far side of a target parking region as the vehicle enters the target parking region, and determine a feature relating to the height of the object based on a change in a detection state of the object, which was specified based on the obtained reflection wave data.

Parking assistance device

A crosswalk detection device executes a predetermined arithmetic processing on a calculated value calculated based on data obtained through a scanning operation using a main pattern. Next, the device determines whether or not a crosswalk is in a predetermined image based on a relationship between a calculated result of the arithmetic processing and a position of the main pattern MP on the predetermined image. The above-explained calculated value is, for example, an average of the brightness of pixels overlapping each sub pattern of the main pattern. Hence, even if a white pattern of the crosswalk is cracked or the white pattern has a separated part, the value of data is hardly affected. Accordingly, it is possible to precisely determine whether or not the crosswalk is in the predetermined image.

Crosswalk detection device, crosswalk detection method and recording medium

An eye opening detection system that includes an imaging mechanism that captures an image of the face of a detected subject, an edge extraction mechanism that extracts the edge of the image captured, and an upper and lower eyelid detection mechanism that detects the upper and lower eyelids of the detected subject according to the edge extracted, and that detects the eye opening of the detected subject with reference to a detected distance between the upper and lower eyelids. The upper and lower eyelid detection detects the upper eyelid and detects the lower eyelid with reference to the upper eyelid detected.

Eye opening detection system and method of detecting eye opening

An eyelid detection apparatus includes a face image storing means storing a plurality of face images of a subject captured at different timings, a change detecting means detecting changes in each face image caused by blinking after processing the plurality of face images stored by the face image storing means, and an eyelid detecting means detecting a position of an eyelid of the subject based on the changes detected by the change detecting means.

Eyelid detection apparatus and programs therefor

Detecting with good precision an eye inside corner position and an eye outside corner position as face feature points even when the eye inside corner and/or the eye outside corner portions are obscured by noise. First eyelid profile modeling is performed with a Bezier curve expressed by a fixed control point Pindicating an eye inside corner first position detected in an image, a fixed control point Pindicating an eye outside corner first position, a control point Pcorresponding to an upper eyelid position candidate (first parameter), and a control point Pcorresponding to a lower eyelid position candidate (second parameter). Then in a second eyelid profile model with fixed Pand Pof the first eyelid profile model having the highest fitting evaluation value &#x3bb; to the eyelid profile in the image, the values of a control point Pindicating an eye inside corner position candidate (third parameter) and a control point Pindicating an eye outside corner candidate (fourth parameter) at a maximum of a fitting evaluation value &#x3bb; when changing the values of the control point Pand control point Pare determined as an eye inside corner second position and an eye outside corner second position, respectively.

Face feature point detection device and program

An eye detecting device includes an image generating device for generating a face image, a nostril detecting portion for detecting a nostril in the face image, an eye searching area setting portion for setting an eye searching area in the face image based on a position of the nostril detected by the nostril detecting portion, and an eye searching portion for searching an eye within the eye searching area set by the eye searching area setting portion.

Device, method and program for detecting eye

An eyelid opening level determination device includes a face image taking unit; an upper eyelid detection unit for detecting an upper eyelid in the face image; a lower eyelid area setting unit for setting an area for searching a lower eyelid based on the upper eyelid; an edge group detecting unit for detecting an edge group where brightness changes from dark to bright as a lower eyelid candidate by scanning the area from an upper side to a lower side; a reliability value obtaining unit for obtaining a reliability value of the edge group; a lower eyelid determination unit in which the edge group having the reliability value exceeding a predetermined value in the edge group is determined to be the lower eyelid; and an eyelid opening level obtaining unit for obtaining opening level of the eyelid based on positions for the upper eyelid and the lower eyelid.

Eyelid opening level determination device and computer readable medium storing computer program thereof

A computer () obtains a facial image acquired by picking up an image of a person subjected to image pickup from a camera (), and estimates a facial expression of the person subjected to image pickup based on the obtained facial image. Next, the computer obtains an eye open level of the person subjected to image pickup based on the facial image, and sets a threshold of the eye open level based on the estimated facial expression of the person subjected to image pickup. When the eye open level exceeds the threshold, the computer () determines that the eye of the person subjected to image pickup is opened. Moreover, when the eye open level does not exceed the threshold, the computer determines that the eye of the person subjected to image pickup is closed.

Eye open/close recognizing apparatus and recording medium

A parking assisting device is equipped with a imaging device (), a gaze position determining sections (), target parking position setting sections (), and a parking assisting section (). The imaging device () takes images of surrounding of a vehicle. The gaze position determining sections () determine positions at which a driver gazes. The target parking position setting sections () sets target parking positions based on images taken by the imaging device () and gaze positions determined by the gaze position determining section (). The parking assisting section () assists in processing to park the vehicle at the set target parking position.

Parking assisting device and parking assisting method

An image around a vehicle matching the intent of a driver is automatically displayed. An infrared camera () picks up an image of the face of a driver (). A visual line direction and a face direction are detected from the face image of the driver (). Based on the visual line direction of the driver () and the face direction thereof, a direction in which the driver () gazes is detected. When the direction in which the driver () gazes is included in image pickup ranges of CCD cameras (A,B, andC), an image around a vehicle () picked up by any one of the CCD cameras (A,B, andC) is automatically displayed on a monitor ().

Vehicle surrounding area display device

An eyelid detection apparatus includes a face-image storing apparatus for storing an image of a face of a subject, an eyelid-candidate extracting apparatus for processing the image stored in the face-image storing apparatus to extract a pair of lines, which becomes a candidate of a combination of a line corresponding to an upper eyelid and a line corresponding to a lower eyelid, a parameter calculating apparatus for calculating a parameter, which indicates a possibility that a pan of the image stored in the face-image storing apparatus, the part corresponding to the pair of lines extracted by the eyelid-candidate extracting apparatus, includes at least one of outer and inner corners of an eye, and an eyelid detecting apparatus for detecting a position of an eyelid of the subject on the basis of the parameter calculated by the parameter calculating apparatus.

Eyelid detection apparatus, eyelid detection method and program therefor

A face feature point detection apparatus includes an image capturing device, an edge calculating unit calculating edge values indicating a luminance change in a direction, and a detection target determining unit scanning an edge image, which is created by arranging the edge values for corresponding pixels based on pixel arrangement of the face images, with an image window being an aggregation of selected pixels formed in a predetermined shape, the detection target determining unit determining a position of the image window having a largest weighted sum of weighted sums to be a detection position where a detection target is present, providing that the weighted sum is calculated by multiplying the edge value which corresponds to each pixel in the image window by a predetermined value defined on a per-pixel basis and adding up all products of the edge value and the predetermined value.

Apparatus, method, and program for face feature point detection

An image capturing section captures a face of an observed person. A position detecting section detects, from a face image expressing the face captured by the image capturing section, one of a position expressing a characteristic of a nose and a position expressing a characteristic of a region between eyebrows. A computing section computes a past relative position of a predetermined region of the face that is based on the position detected in the past by the position detecting section. A region position detecting section detects a position of the predetermined region on the basis of the past relative position computed by the computing section and the current position detected by the position detecting section.

Face region detecting device, method, and computer readable recording medium

An eyelid detection apparatus includes edge image generating means for generating an edge image representing a magnitude of pixel value change per pixel in a predetermined direction in a region including an eye, based upon an image of the region; local peak value point searching means for searching a local peak value point, where the magnitude of pixel value change reaches a local peak value in the predetermined direction, in the edge image; and boundary point detecting means for detecting at least one of a first boundary point indicating a boundary between an upper eyelid and an eyeball and a second boundary point indicating a boundary between a lower eyelid and the eyeball, based upon a point which is shifted from the local peak value point in a direction towards the eyeball.

Growing community of inventors

Obu, Japan

Jun Adachi