Kabushiki Kaisha Toshiba

Sony Corporation

Nec Corporation

Toshiba Infrastructure Systems & Solutions Corporation

Japan Display Inc.

Nissan Motor Company Limited

Fuji Electric Co., Ltd.

Sankyo Company, Limited

Nippon Kokan Kabushiki Kaisha

Nitto Kohki Co., Ltd.

Juki Corporation

Tokyo Keiki Company Limited

Mizusawa Industrial Chemicals, Ltd.

Kato Hatsujo Kaisha, Ltd.

Tokimec Inc.

Toshio Sato

Yoshihiko Suzuki

Yusuke Takahashi

Akio Okazaki

Hiroshi Sukegawa

Hideki Ueno

Susumu Hoshimi

Kentaro Yokoi

Hiroshi Sakai

Kenji Kimiyama

Hironori Dobashi

Toshio Hirasawa

Jun Ogata

Kazuyo Nakagawa

Hiroshi Takahashi

Tadashi Kobayashi

Yasuhiro Aoki

Tomoyuki Hamamura

Hiroo Saito

Yoshikazu Ooba

Teruhiko Uno

Ryohei Motegi

Nobuyuki Oka

Masayuki Mizuki

Shinji Aotsuka

Junichi Nakamura

Masaya Maeda

Hiroshi Ogawa

Osamu Yamaguchi

Masashi Takeda

Masahiro Yamamoto

Yasuyuki Ogawa

Akio Izumi

Hiroshi Hamano

Kazuyuki Takizawa

Teiji Sato

Toshiaki Sugawara

Hirosato Takeuchi

Hiroaki Kubota

Naotake Natori

Bunpei Irie

Masaru Saito

Shinichi Takeuchi

Hiroshi Sawada

Takuma Akagi

Takashi Matsui

Nobuyuki Nozawa

Shiro Yasuda

Yoshio Nakano

Keijiro Nakamura

Akira Takanaka

Nobuo Hashimoto

Hiroki Yamagishi

Masanori Nishikiori

Tomohiko Tokuya

Mitsuaki Hori

Hidenori Yasuoka

Makoto Kodama

Kouji Shiino

Masao Handa

Takao Miyashita

Shozo Wada

Mikio Ueki

Kenichi Toyama

Takuzo Ichihara

Toshiki Furukawa

Kohei Saito

Katsuaki Tanaka

Satoru Sakamoto

Seiji Wakaki

Satoru Ohta

Seiichi Sugita

A vehicle recognition apparatus according to an embodiment includes one or more hardware processors to: acquire a photographed image obtained by photographing vehicles forming a column of vehicles from an obliquely rearward direction with respect to the column of vehicles; generate a parallax image based on the photographed image; estimate a vanishing point in the parallax image; generate strip regions by dividing a region below the vanishing point in the parallax image in a horizontal direction; calculate a representative parallax for each strip region; extract strip regions efficient in recognizing a vehicle from among the strip regions based on the representative parallax; couple strip regions adjacent to each other among the extract strip regions to generate a coupled strip region based on a distance distribution model of a back surface and a side surface of a vehicle; and recognize a vehicle based on the coupled strip region.

Vehicle recognition apparatus and vehicle recognition method

Generally, an information processing device according to one embodiment includes storage, a receiver, a detector, an extractor, and a position specifier. The storage stores therein, imaging positional information indicating, identification information on a landmark set, and registration landmark information, in association with one another. The receiver receives a captured image for position specification from an onboard device. The extractor extracts imaging landmark information serving as information on a detected landmark from the captured image for position specification. The position specifier specifies the position indicated by the imaging positional information associated with the identification information on the landmark set including the registration landmark information similar to the imaging landmark information as the position of a vehicle at time when the captured image for position specification is taken.

Information processing device and information processing system

According to one embodiment, in general, an information processing apparatus includes one or more processors. The one or more processors receive from an onboard device of a probe vehicle an image showing a vehicle group of one or more vehicles stopping on the same lane, imaging time of the image, and a position of the probe vehicle at the imaging time. The one or more processors select vehicle groups according to the imaging time and an imaging position. The one or more processors identify the selected vehicle groups as a vehicle queue. The one or more processors calculate a stopping vehicle-queue evaluation value. The one or more processors calculate a parking vehicle-queue evaluation value. The one or more processors determine whether the identified vehicle queue is the stopping vehicle queue or the parking vehicle queue.

Information processing apparatus, onboard device, information processing system, and information processing method

According to one embodiment, generally, an information processing apparatus includes a vehicle detector, a stopped-vehicle evaluator, a parked-vehicle evaluator, and a determiner. The vehicle detector detects a vehicle from a captured image by an imaging device mounted in a probe vehicle. The stopped-vehicle evaluator calculates a stopped-vehicle evaluation value based on one or more stopped-vehicle conditions. The parked-vehicle evaluator calculates a parked-vehicle evaluation value based on one or more parked-vehicle conditions. The determiner determines whether the vehicle is stopped or parked based on both the evaluation values.

Information processing apparatus, information process system, and information process method

According to an embodiment, a people search system includes a receiver, a detector, a search unit, and a display. The search unit obtains features of a first face image and a second face image of a predetermined person and searches for the predetermined person based on a similarity between the features of the first and the second face images when an inhibiting factor is not detected, and generates a third face image that is a composite image of the second face image and the inhibiting factor, obtains features of the first and the third face images, and searches for the predetermined person based on a similarity between the features of the first and the third face images when the inhibiting factor is detected. The display displays the search result of the predetermined person obtained by the search unit.

People search system and people search method

A liquid crystal display device includes a first substrate, a partition layer provided on the first substrate and defining plural pixel regions, colored layers of plural colors constituting color filters in the plural pixel regions, a second substrate opposite to the first substrate, and a liquid crystal material arranged between the first and second substrates. The partition layer includes a longitudinal light-shielding part made of a light-shielding resin and extending in a longitudinal direction, a lateral light-shielding part made of the light-shielding resin and extending in a lateral direction, and a light reducing part in which the colored layers including two or more of the colors overlap each other. At least one of the longitudinal light-shielding part and the lateral light-shielding part has a space to avoid contact with the other. The light reducing part fills the space between the longitudinal light-shielding part and the lateral light-shielding part.

Display device and liquid crystal display device

An embodiment of a vehicle monitoring apparatus has a determiner and a reader. The determiner determines whether or not a specific site of a vehicle exists at least in an area of an image, the image imaged by an imager, the area being one of multiple areas into which the image is divided by dividing line that are substantially orthogonal to a direction of travel of the vehicle. The reader reads information on a license plate mounted to the vehicle from the area in case that the determiner determines the specific site of the vehicle is determined to exist in the area.

Vehicle monitoring apparatus and vehicle monitoring method

An image processing apparatus is provided, which performs alignment of pixels on a reference frame and on a standard frame, executes an image reconfiguration based on an alignment result, and generates a high resolution image of a frame from low resolution images of the reference and the standard frames, the apparatus including a memory configured to store an input video and to output an image processed video; and a plurality of arithmetic processors configured to perform in parallel, at the time of the alignment, a first alignment processing in a first direction from the reference to the standard frame by a first arithmetic processor, and a second alignment processing in a second direction from the standard to the reference frame by a second arithmetic processor, the second direction being opposite to the first direction, processing results of the first and the second alignment processings being shared among the processors.

Image processing apparatus and image processing method for performing pixel alignment

A vehicle detection apparatus according to an embodiment comprises a controller detecting a vehicle from an image obtained by photographing the vehicle. The controller extracts a plurality of line-segment components indicating a boundary between a specific region of the vehicle and a vehicle body and included in the image. The controller measures a position of the vehicle based on coordinate information between the extracted line-segment components and photographing position information of the image.

Vehicle detection apparatus and vehicle detection method

According to one embodiment, an information processor divides input image data for a plurality of information processors so as to perform a super resolution process as a distributed processing. The super resolution process generates a high resolution image based on a plurality of low resolution input images. The information processor includes a division point determining unit, a division processor, and a combination processor. The division point determining unit determines a division point for an input image of a sequence of image frames. The division processor divides, for each of the information processors, the input image at the division point, and allocates each divided input image to each corresponding one of the information processors.

Information processor, cloud platform, information processing method, and computer program product thereof

According to one embodiment, a facial image search system including, search module configured to calculate degree of similarity between facial features extracted by feature extraction module and facial features contained in database and output search result based on calculated degree of similarity, measuring module configured to measure amount of search result output by search module, and selection module configured to sort out search result output by search module if amount of search result measured by measuring module is equal to or more than preset threshold.

Facial image search system and facial image search method

According to one embodiment, a pattern recognition method includes calculating similarities of the input pattern with respect to respective categories, converting the calculated similarities of the input pattern with respect to the respective categories into first evaluation values based on a first table which indicates a relationship between similarities for respective categories and first evaluation values, calculating second evaluation values based on the calculated first evaluation values for the respective categories and prior probabilities for the respective categories stored in a second table indicating prior probabilities of the respective categories, and selecting a category corresponding to a maximum value of the calculated second evaluation values.

Pattern recognition method, character recognition method, pattern recognition apparatus, and character recognition apparatus

According to one embodiment, a postal indicium detection method includes detecting whether or not one of a first face and a second face of a sheet corresponds to a picture card specific face, detecting a postal indicium candidate from the second face based on a first detection result indicating that the first face corresponds to the picture card specific face, and detecting the postal indicium candidate from the first face based on a second detection result indicating that the second face corresponds to the picture card specific face.

Postal indicium detection method and postal indicium detection apparatus

A character recognition apparatus generates each character candidate from a character string written in a plurality of character entry boxes written on a sheet of paper such as a business form, and performs character recognition. A row image separating unit acquires an image containing a plurality of character entry boxes and the character string. A character extraction processing unit detects each point at which a plurality of lines are in contact with each other and intersect in the character string contained in the image, determines a point at which the character string should be cut or recombined on the basis of the placement relationship between the point and the corresponding character entry box, and generates each character candidate constituting the character string. A character recognition unit performs character recognition for each character candidate generated by the character extraction processing unit.

Character recognition apparatus and character recognition method

Growing community of inventors

Yokohama, Japan

Toshio Sato