Kabushiki Kaisha Toshiba

Kabuhsiki Kaisha Toshiba

Kazushige Ouchi

Miwako Doi

Kenichi Kameyama

Daisuke Kobayashi

Takuji Suzuki

Toshiaki Nakasu

Daisuke Yamamoto

Masaaki Kikuchi

Kazunori Imoto

Yoshihiro Ohmori

Akihisa Moriya

Masaru Sakai

Akinori Kawamura

Rika Hosaka

Tomoyuki Shibata

Kaoru Suzuki

Yojiro Tonouchi

Ryuzo Okada

Tsukasa Ike

Hideo Umeki

Ryohei Orihara

Kanako Nakayama

Yusuke Kida

Toshiyuki Koga

Shihomi Takahashi

Koichi Ootomi

A retrieval device includes one or more processors. The processors acquire trajectory information indicating a movement trajectory of a target in time-series images. The processors acquire situation information indicating a peripheral situation of the target in the time-series images. The processors acquire a retrieval query containing a movement trajectory and a peripheral situation. The processors retrieve an image matching with the retrieval query among images contained in the time-series images based on the trajectory information and the situation information.

Retrieval device, retrieval method, and computer program product

According to an embodiment, a transformation matrix deriving device includes a first trajectory generator, a second trajectory generator, a trajectory matcher, and a deriver. The first trajectory generator is configured to generate a first trajectory of a moving object, detected from a video, in a first coordinate system. The second trajectory generator is configured to generate a second trajectory of a moving object in a second coordinate system, from time-series data of positional information. The trajectory matcher is configured to associate the first trajectory with the second trajectory to be a motion trajectory of the same moving object based on a similarity between the first trajectory and the second trajectory. The deriver is configured to derive a transformation matrix that transforms the second coordinate system into the first coordinate system by using the first trajectory and the second trajectory associated with each other.

Transformation matrix deriving device, position estimation apparatus, transformation matrix deriving method, and position estimation method

According to an embodiment, an information processing device includes a memory and processing circuitry. The processing circuitry is configured to acquire a captured image; detect a plurality of targets included in the captured image; calculate target information representing at least one of a state or an attribute and reliability of the target information for each of the plurality of detected targets on the basic of the captured image; and estimate a distribution of the target information of the plurality of targets on the basis of a distribution of the target information of targets for which the reliability is higher than a set value.

Information processing device, information processing method, and computer program product

According to one embodiment, an information processing device includes a memory and a processor. The processor is configured to acquire an image, determine a likelihood of presence of an objected within the image, display information on a position of the object within the image based on the likelihood, identify the object within the image, and generate a recognition result based on the identified object.

Information processing apparatus, method and computer program product

The acquiring unit is configured to acquire positions of a particular part of a user in time series. The calculator is configured to calculate a feature value of a motion of the particular part from the positions acquired in time series. The comparing unit configured to compare the feature value and a first threshold. The recognizing unit is configured to recognize the motion of the particular part using a first recognition method and a second recognition method which is different from the first recognition method. The control unit configured to control the recognizing unit to select the first recognition method for recognizing a position or a motion of the particular part when the feature value is smaller than the first threshold, and select the second recognition method when the feature value is equal to or larger than the first threshold.

Recognition apparatus

Apparatus for speech recognition includes a recognition unit configured to recognize a speech signal and to generate a first recognition result, a transmitting unit that transmits at least one of the speech signal and a recognition feature to a server, a receiving unit that receives a second recognition result from the server, a result generating unit configured to generate a third recognition result, a result storage unit that stores the third recognition result and a dictionary update unit configured to update the client recognition dictionary.

Apparatus and method for speech recognition

According to one embodiment, a television apparatus includes a speech input unit, an indication input unit, a speech recognition unit, and a control unit. The speech input unit is configured to input a speech. The indication input unit is configured to input an indication to start speech recognition from a user. The speech recognition unit is configured to recognize the user's speech inputted after the indication is inputted. The control unit is configured to execute an operation command corresponding to a recognition result of the user's speech. The control unit, if a volume of the television apparatus at a timing when the indication is inputted is larger than or equal to a threshold, temporarily sets the volume to a value smaller than the threshold while the speech recognition unit is recognizing.

Television apparatus and a remote operation apparatus

According to the invention, a pulse wave measuring device includes: a connector that is disposed on a main unit; an external sensor that includes an external light-emitting module radiating light to a human body to be measured and an external light-receiving module receiving at least one of reflected light and transmitted light originating from the external light-emitting module and the human body so as to measure a pulse wave; an first controller that switches the external light-emitting module ON and OFF; an second controller that switches the external light-receiving module ON and OFF; and an external sensor connection determination section that determines a connection between the external sensor and the connector in accordance with a transient response of the external light-receiving module, wherein, after the external sensor connection determination section determines that the external sensor is connected to the connector, a measurement of the pulse wave by using the external sensor is started.

Pulse wave measuring device

A device for speech input includes a speech input unit configured to convert a speech of a user to a speech signal; an angle detection unit configured to detect an angle of the speech input unit; a distance detection unit configured to detect a distance between the speech input unit and the user; and an input switch unit configured to control on and off of the speech input unit based on the angle and the distance.

Speech input device, speech recognition system and speech recognition method

According to one embodiment, a monitoring apparatus includes an acquisition unit, an analysis unit, a calculation unit, a storage, a determination unit. The acquisition unit acquires an environmental sound. The analysis unit performs frequency analysis to extract characteristic frequency components. The calculation unit calculates first values of metrics. The storage stores contour data generated by second values of the metrics. The determination unit determines whether or not there is a first measurement point in which a first value and a second value match, if there is no first measurement point or the change is not less than the threshold value, determines that the machines is abnormal.

Monitoring apparatus and method

According to one embodiment, a voice recognition apparatus includes a determination unit, an estimating unit, and a voice recognition unit. The determination unit determines whether a component with a frequency of not less than 1000 Hz and with a level not lower than a predetermined level is included in a sound input from a plurality of microphones. The estimating unit estimates a sound source direction of the sound when the determination unit determines that the component is included in the sound. The voice recognition unit recognizes whether the sound obtained in the sound source direction coincides with a voice model registered beforehand.

Voice recognition apparatus

Moving information of an object is input, and first sound information around the object is input. A motion status of the object is recognized based on the moving information. Second sound information is selectively extracted from the first sound information, based on the motion status. A first feature quantity is extracted from the second sound information. A plurality of models is stored in a memory. Each model has a second feature quantity and a corresponding specified context. The second feature quantity is previously extracted by the second extraction unit before the first feature quantity is extracted. A present context of the object is decided based on the specified context corresponding to the second feature quantity most similar to the first feature quantity. The present context of the object is output.

Apparatus and method for recognizing a context of an object

An embodiment of an apparatus for speech recognition includes a speech input unit configured to acquire acoustic signal, a first recognition unit configured to recognize the acoustic signal, a communication unit configured to communicate with an external server, a second recognition unit configured to recognize the acoustic signal by utilizing the external server via the communication unit, and a remote signal input unit configured to acquire a control signal from a remote controller. The switching unit is configured to switch between the first recognition unit and the second recognition unit for recognizing the acoustic signal in response to a start trigger. The switching unit selects the second recognition unit when the start trigger is detected from the control signal, and the switching unit selects the first recognition unit when the start trigger is detected from the acoustic signal.

Apparatus and method for speech recognition, and television equipped with apparatus for speech recognition

A pulse wave measuring apparatus includes a pulse wave measuring unit measuring a pulse wave; a first detection unit detecting first maximum and minimum values; a second detection unit detecting second maximum and minimum values; an update unit updating the first maximum and minimum values with the second maximum and minimum values after time periods; an initialization unit initializing the second maximum and minimum values after updating the first maximum and minimum values; a timing detection unit detecting a time determined by the first maximum and minimum values; and an interval calculation unit calculating a pulse wave interval using the timing.

Pulse wave measuring apparatus and method for measuring a pulse wave

A thermal sensation determining apparatus includes a skin temperature detecting unit configured to detect a skin temperature of a peripheral site of a subject's body, a variation state determining unit configured to determine a variation state of the skin temperature during a first interval to obtain a variation state determination result, a gradient detecting unit configured to detect a gradient of the skin temperature during a second interval to determine the gradient to obtain a gradient detection result, and a thermal sensation determining unit configured to determine the subject's thermal sensation using the variation state determination result and the gradient detection result to obtain a thermal sensation determination result classified into levels ranging from 'hot' to 'cold' based on a &#x201c;moderate&#x201d; temperature.

Growing community of inventors

Saitama, Japan

Kazushige Ouchi