Nec Corporation

Sharp Kabushiki Kaisha Corporation

Panasonic Corporation

Osaka University

Matsushita Electric Industrial Co., Ltd.

Toppan Printing Co., Ltd.

Subaru Corporation

Toshiba Battery Co., Ltd.

Olympus Corporation

Mitsubishi Heavy Industries Limited

Seiko Clock Inc.

Shinichi Miyamoto

Seiichi Sampei

Yasuhiro Hamaguchi

Kazunari Yokomakura

Shinsuke Ibi

Hideo Fukuda

Osamu Nakamura

Minoru Kubota

Shimpei To

Hiroki Takahashi

Jungo Goto

Hideo Namba

Masatoshi Takahashi

Masamitsu Nagahama

Akira Sato

Kunihiko Miyamoto

Shuichiro Irie

Teiji Okayama

Naomi Hadano

Hiroshi Yamaguchi

Takeaki Nakamura

Takeshi Matsuo

Katsushi Watanabe

Yuzo Shimizu

Masashi Hattori

Kazutaka Matsumoto

Takayuki Kameya

Naganori Shirakata

Takuya Homma

Nobuhiro Tanaka

Masaki Taniguchi

Junpei Tokizaki

Hideaki Kinouchi

Masayuki Marubashi

Hisatada Yasukawa

Keita Onishi

Shinichi Hamaguchi

Yasufumi Shirakawa

Tetsuo Chato

Masaya Ueda

Kenji Imaizumi

Keiji Asai

Yousuke Kuroiwa

Kei Fuji

Hisashi Ikeda

Tatsuhiko Furuta

Satoshi Murao

Yosuke Kuroiwa

Kei Sakaguchi

Atsuya Tanaka

Ehab Mahmoud Mohamed Mahmoud

Seiji Yamaguchi

Provided are a surveillance system, an information processing device, a fall detection method, and a non-transitory computer readable medium capable of improving the accuracy of detecting a person who has fallen down in a railroad crossing. A surveillance system according to the present disclosure includes a LiDAR sensor () that emits a plurality of laser beams with different ranges to a surveillance area, and outputs a detection signal indicating a detection status of an object by each of the laser beams, and an information processing device () that determines that the object has fallen down when the detection status by a laser beam with a shorter range than a predetermined range indicates that the object is detected and the number of laser beams detecting the object decreases.

Surveillance system, information processing device, fall detection method, and non-transitory computer readable medium

A vehicle surrounding environment monitoring apparatus includes an imaging device, a memory, a notifier, and a vehicle control processor. The imaging device acquires surrounding person facial information on the surrounding person. The memory stores occupant facial information on an occupant of the vehicle. The notifier issues a notification to one or both of the surrounding person and the occupant. The vehicle control processor performs a determination as to whether the surrounding person is the occupant by comparing the surrounding person facial information with the occupant facial information. The vehicle control processor causes the notifier to issue the notification to one or both of the surrounding person and the occupant when determining that the surrounding person is not the occupant. The vehicle control processor refrains from causing the notifier to issue the notification to the surrounding person when determining that the surrounding person is the occupant.

Vehicle surrounding environment monitoring apparatus

The present disclosure is directed to providing a monitoring device that can improve the accuracy in tracking ships. A monitoring device () according to the present disclosure includes a position information acquiring unit () configured to acquire position information of an object to be tracked; an estimating unit () configured to estimate a position of the object to be tracked displayed in an image captured of a predetermined region; and an information generating unit () configured to generate path information of the object to be tracked by supplementing, based on an estimated position of the object to be tracked, the position of the object to be tracked held between the position indicated by the position information acquired at a first timing and the position indicated by the position information acquired at a second timing later than the first timing.

Monitoring device, tracking method, and non-transitory computer-readable medium

A distracted-driving monitoring apparatus for a vehicle includes an imaging device and a determiner. The imaging device is configured to capture an image indicating at least an occupant of the vehicle. The determiner is configured to make a determination on distracted driving of the occupant of the vehicle based on the captured image. The determiner is configured to determine areas in the captured image corresponding to areas that the occupant faces from among divided areas obtained by dividing a viewing range. The viewing range corresponds to a range where the occupant is likely to face while the vehicle is in operation. The determiner is configured to execute determination processing differently for each of the determined areas to make the determination on the distracted driving of the occupant.

Distracted-driving monitoring apparatus for vehicle

An information processing device includes a reference image generation unit that generates a reference image by using a partial area including a head of a tracking target in a whole-body image of the tracking target, a comparative image generation unit that generates a comparative image to be used for comparison with the reference image by using the partial area containing the head of the tracking target in a tracking image of the tracking target where feet are not contained, an adjustment unit that compares the reference image with the comparative image, and adjusts a position of the head of the tracking target in the comparative image, and a feet estimation unit that estimates a position of the feet of the tracking target in the tracking image by using the comparative image where the position of the head of the tracking target is adjusted.

Information processing device, estimation method, and nontransitory computer readable medium for estimating a position of a target

A vehicle occupant notification apparatus provides a notification to a vehicle occupant by retracting a seatbelt of a vehicle and includes an operation-amount measuring instrument, an arithmetic controller, and a retraction device. The operation-amount measuring instrument measures a measurement seatbelt operation amount when the vehicle occupant sits on a seat of the vehicle and fastens the seatbelt. The measurement seatbelt operation amount is either one of a measurement seatbelt pull-out amount and a measurement seatbelt pull-out angle. The arithmetic controller determines whether the measurement seatbelt operation amount is larger than or equal to a predetermined value. The retraction device varies a retraction amount in the retraction of the seatbelt when the notification is to be provided by retracting the seatbelt based on a command from the arithmetic controller. The command indicates that the measurement seatbelt operation amount is larger than or equal to the predetermined value.

Vehicle occupant notification apparatus

An information processing apparatus () includes a computation unit (), a selection unit (), and a processing unit (). The computation unit () analyzes a sensing result acquired by sensing a vehicle running on a road, and thereby computes the number of occupants in the vehicle and a certainty factor of the number of the occupants. As one example, the computation unit () computes reliability in the case of determining that a person exists related to each seat of the vehicle, and uses the reliability for each seat to compute a certainty factor related to each possible number as the number of the occupants in the vehicle. The selection unit () selects a sensing result with the computed certainty factor of the number of occupants which does not satisfy a predetermined criterion as an analysis result. The processing unit () allows the sensing result selected by the selection unit () to be in the state of being distinguishable from the other sensing results.

Information processing apparatus, information processing method, and program

To provide a decorative sheet including a transparent resin layer having high transparency and excellent surface scratch resistance from the viewpoint of the design properties and a transparent resin sheet. A decorative sheet () according to one aspect of the present invention has a transparent resin layer () containing a crystalline polypropylene resin as the main component, in which a value of a peak area ratio x represented by the following expression (1) of the transparent resin layer () is x&#x2265;0.4. Herein, S040, S130, and Sam in the following expression (1) are peak areas determined from an X-ray diffraction spectrum obtained by measuring the transparent resin layer with an X-ray diffractometer, S040 is the peak area from the Miller index (040) of polypropylene &#x3b1; crystals, S130 is the peak area from the Miller index (130) of the polypropylene &#x3b1; crystals, and Sam is the peak area of an amorphous material. 

Decorative sheet, and transparent resin sheet

A decorated sheet according to the present disclosure consists of a plurality of resin layers, wherein at least one of the resin layers comprises a nano-sized additive.

Decorated sheet

The image processing system generates a plurality of separated images based on a first image acquired by photographing an object and a second image acquired by photographing the object in a state of receiving light of a first specific wavelength band. The image processing system specifies, from among the plurality of separated images, a separated image in which reflection on the object is reduced as compared to the first image. The image processing system outputs the separated image.

Passenger counting device, system, method and program

To provide a decorative sheet including a transparent resin layer having excellent post-processing resistance and high transparency. A decorative sheet () according to one aspect of the present invention has a transparent resin layer () containing a crystalline polypropylene resin as the main component. A value of a peak intensity ratio x represented by the following expression (1) of the transparent resin layer () is x&#x2264;0.65. Herein, I997, I938, and I973 in the following expression (1) are peak intensity values calculated from the absorption spectrum obtained by Fourier infrared spectrometry of the transparent resin layer, and I997 is the peak intensity value at a wavenumber of 997 cm, I938 is the peak intensity value at a wavenumber of 938 cm, and I973 is the peak intensity value at a wavenumber of 973 cm. 

Decorative sheet

The image processing system acquires a first image which includes a target object illuminated by both of a first light and a second light, the second light being generated by a light source that emit light in a specific wavelength band, and an external object illuminated by the first light but not illuminated by the second light. The system acquires a second image generated by photographing a range same as a range of the first image through a filter causing wavelength distribution of observed light for the second image to be different from wavelength distribution of observed light for the first image. The system generates a third image in which intensity of a figure of the external object is raised as compared to the first image; and a fourth image in which intensity of a figure of the external object is reduced as compared to the first image.

The image processing system acquires a first image by causing a first photographing device to photograph a vehicle illuminated by a first light source and a second light source, wherein the second source illuminates the vehicle from a direction different from that of the first light source. The system acquires a second image by causing a second photographing device to photograph a photographing range same as that of the first photographing device through a first filter. The system acquires a third image by causing a third photographing device to photograph a photographing range same as that of the first photographing device through a second filter type of which is different from that of the first filter. The system generates a fourth image by processing on the first image, the second image and the third image.

The erroneous detection determination system acquires a movement amount of a vehicle. The erroneous detection determination system calculates, based on the movement amount of the vehicle, distances in a depth direction of objects detected as faces of passengers of the vehicle from an image of the vehicle. The erroneous detection determination system determines whether the detected objects include an object that has been erroneously detected, based on the distances in the depth direction of the objects.

Passenger counting device, system, method and program, and vehicle movement amount calculation device, method and program

Growing community of inventors

Tokyo, Japan

Shinichi Miyamoto