Omron Corporation

Tomoyoshi Aizawa

Tadashi Hyuga

Hatsumi Aoi

Koichi Kinoshita

Tomohiro Yabuuchi

Mei Uetani

Hirotaka Wada

Kiyoaki Tanaka

Yoshihisa Minato

Xiang Ruan

Norikazu Tonogai

Koji Takizawa

Motoo Yamamoto

Masamichi Oe

Michie Uno

Hiroshi Sugahara

Hideto Hamabashiri

Koji Kobayashi

Kazuyoshi Okaji

Gen Sho

An image processing apparatus includes a first learner trained to detect an orientation of a face in an image including a human face for receiving an input of a target image including a human face and outputting first information associated with an orientation of a face included in the target image, at least one second learner trained, for the first information, to detect a position of a facial component in an image including a human face for receiving an input of the target image and outputting second information associated with a position of a facial component included in the target image, and a control unit that controls the first learner and the second learner. The control unit uses the first learner to obtain the first information from the target image, and uses the second learner corresponding to the first information to obtain the second information from the target image.

Image processing apparatus with learners for detecting orientation and position of feature points of a facial image

An image analyzer repeatedly obtains a captured image including a subject to be detected, and detects, in the captured image, a first area likely to include the subject without a cover, detects, in the captured image, a second area likely to include the subject with a cover, and determines whether the subject is covered by the cover based on a detection result of the first area and a detection result of the second area and a determination result for the captured image obtained previously.

Image analyzer, image analysis method, and image analysis program

A driver state determination unit of a drive mode switching control device regularly or irregularly determines whether a driver's state is a state of being able to perform a driving operation in a manual drive mode. The drive mode switching control device determines whether an operation performed by the driver is an emergency override operation or a non-emergency override operation. The drive mode switching control device outputs a switching signal for switching an automatic drive mode to the manual drive mode when a determination result by the driver state determination unit immediately before detection of the emergency override operation is that a driver's state is a state of being able to perform a driving operation in the manual drive mode.

Drive mode switching control device, method and program

Tracking a target object to be tracked included in a plurality of consecutively captured images is performed by an image processing apparatus. The image processing apparatus comprises an image acquisition unit and a tracking unit. The image tracking unit is configured to acquire an image. The tracking unit is configured to detect a target object to be tracked included in the image by matching and acquire over a plurality of the images an amount of movement of the target object to be tracked and a direction of the movement of the target object to be tracked. The tracking unit performs first matching by using a first template corresponding to the target object to be tracked, and performs second matching by using a second template, which is different in size or shape from the first template, in a case where a score of a result of the first matching is lower than a first threshold value.

Image processing apparatus and image processing method for object tracking

An image processing apparatus tracks a target object included in a plurality of consecutively captured images. The image processing apparatus may include an image acquisition unit, a template acquisition unit, a masking map generation unit, and a tracking unit. The image acquisition unit acquires the image. The template acquisition unit acquires a template corresponding to the target object. The masking map generation unit generates a masking map that indicates a degree of masking of the target object by another object. The tracking unit detects the target object by using the template, and acquires an amount of movement of the target object and a direction of the movement of the target object, based on both of the template and the masking map.

Object tracking apparatus and object tracking method

A character recognition device comprising: a storage means storing a plurality of dictionary databases corresponding to each of a plurality of degradation levels, said databases being generated from images wherein an original character image has been degraded using a plurality of different degradation levels; an image input means that receives input of images; an extraction means that extracts character images from said images; a usage order determination means that determines an usage order for dictionary databases on the basis of degradation degrees for extracted character images; and a character recognition means that uses dictionary databases in accordance with said usage order, recognizes characters included in the extracted character image and, if recognition results for the character recognition fulfill prescribed conditions, outputs the recognition results without performing recognition using the dictionary database next in said usage order. As a result, accurate and fast recognition of degraded character images can be performed.

Character recognition device, character recognition method and program

When there is a possibility that a third character region is redundantly selected in both a case where the line extraction process is performed starting from a first character region and a case where the line extraction process is performed starting from a second character region located in a line different from a line containing the first character region, the line recognition unit determines which line to incorporate the third character region in, by comparing a case of incorporating the third character region into the line starting with the first character region, with a case of incorporating the third character region into the line starting with the second character region.

Image processing apparatus and image processing method

A key word detection device and a method for detecting a search key word from a target image in order to perform a search with a search engine on the internet, the key word detection device comprising: a processor configured to operate as a feature point detector configured to detect a feature point of a specific character string from the target image, the specific character string prompting a user to perform the search; a key word recognition unit configured to recognize a character string existing in surroundings of the feature point detected by the feature point detector as the search key word in the target image; and a storage for storing character information and data of the target image used by the processor.

Key word detection device, control method, and display apparatus

An attribute of image data can accurately be discriminated. An image attribute discrimination apparatus includes a heterogeneous region extracting unit that specifies a heterogeneous region from image data. The heterogeneous region includes a heterogeneous matter whose attribute is different from that of a content originally produced by the image data. An image attribute discrimination apparatus further includes a scene discrimination unit that discriminates the attribute of the image data based on a feature quantity extracted from a pixel group except each pixel in the heterogeneous region in each pixel of the image data.

Image attribute discrimination apparatus, attribute discrimination support apparatus, image attribute discrimination method, attribute discrimination support apparatus controlling method, and control program

A character string detection device for detecting a character string including at least one character in an image has a clustering unit that defines at least one cluster including at least a fixed number of pixel groups having similar colors based on color information included in each pixel configuring the image, a clipping unit that partitions the image into a region of the pixel groups belonging to the cluster defined by the clustering unit and a region of other pixel groups, and generating a clipped image excluding the region of the other pixel groups from the image, and a character string detection unit that detects each character in a detection target character string to be detected so as to detect the detection target character string in the clipped image generated by the clipping unit.

Character string detection device, image processing device, character string detection method, control program and storage medium

A word recognition method in which as a result of a recognition process performed on an image of a character string, one or more character candidates are obtained for each of characters forming the character string, according to which a word corresponding to the character string is recognized using a word database having registered therein a plurality of words includes setting a predetermined number of words included in the word database, as initial word candidates, performing a process in which the characters forming the recognition target character string are set as processing targets, one character by one character, and every time a processing target character is set, word candidates present at a time of the setting are narrowed down to words in which character candidates obtained for the processing target character are arranged at a same location as a location where the processing target character is arranged in the recognition target character string, and identifying, when a narrowing-down process performed on a last processing target character in the recognition target character string is completed, a word corresponding to the character string from among word candidates extracted at a point in time of the completion of the narrowing-down process.

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Kyoto, Japan

Tomoyoshi Aizawa