Panasonic Intellectual Property Corporation of America

Panasonic Corporation

Panasonic Intellectual Property Management Co., Ltd.

Matsushita Electric Industrial Co., Ltd.

Tomohiro Konuma

Tsutomu Uenoyama

Ryouichi Kawanishi

Maki Yamada

Kazuya Nomura

Mitsuru Endo

Kotaro Sakata

Shigenori Maeda

Tsuyoshi Inoue

Akira Ishida

Makoto Nishizaki

Tomohiro Koganei

Kazuhiko Maeda

Tatsuya Kimura

Natsuki Saito

Keiko Morii

Tomoyuki Karibe

Masakiyo Nishikawa

Kenichi Yadani

Hiroyasu Kuwano

Kazui Fujitani

A controller determines a travel route from a starting position to a target position in a parking lot and transmits information on at least a section in the travel route to a vehicle, and a monitor monitors the vehicle for a deviation from the travel route during autonomous travel of the vehicle in the section by using a vehicle monitoring system outside the vehicle. When a deviation is detected in the monitoring, the controller determines a correction route for correcting the deviation, and transmits the correction route to the vehicle. When the controller determines that the vehicle cannot travel along the correction route, the controller determines an evacuation route with the current position of the vehicle set to the starting position and a predetermined location set to the target position, and transits the evacuation route to the vehicle such that the vehicle travels along the evacuation route.

Vehicle guidance method and vehicle guidance device

A parking assist apparatus is provided. The parking assist apparatus includes: a parking space recognizer that recognizes a plurality of parking spaces in which a vehicle parks; a parking space candidate calculator that calculates one or more parking space candidates from among the plurality of parking spaces based on an evaluation criterion of a driver and information indicating a route of a moving object around the vehicle; a display controller that displays the one or more parking spaces on a display; and a driving controller that controls driving of the vehicle toward a parking space candidate selected from among the one or more parking space candidates.

Parking assist apparatus, parking assist system, and parking assist method

A voice recognition device includes a storage, a voice recognizer, and a reject information generator. The storage stores reject information for use in specifying a voice. The voice recognizer recognizes an input voice as a target word while defining, as one of conditions, a fact that a degree of likelihood between a voice specified by the reject information and the input voice is lower than a predetermined threshold value. In case where the voice recognizer has recognized the input voice as the target word in a predetermined state, the reject information generator determines the reject information, based on the input voice, and stores the reject information in the storage.

Speech recognition using reject information

A voice recognition processing apparatus includes a voice acquirer, a first voice recognizer, a second voice recognizer, a sorter, a storage device, and a processor. The voice acquirer acquires a voice uttered by a user and outputs voice information. The first voice recognizer converts the voice information into first information. The second voice recognizer converts the voice information into second information. The sorter sorts third information and fourth information from the second information. The storage device stores the first information, the third information, and the fourth information. The processor performs processing based on the first information, the third information, and the fourth information. If there are one or two pieces of missing information in the first information, the third information, and the fourth information, the processor complements the missing information by using information stored in the storage device and performs processing.

Voice recognition processing device, voice recognition processing method, and display device

A video analyzing device according to the present invention specifies an object-related section from video. The object-related section being related to a specific object appearing in the video. The video analyzing device includes an object-related section specifier that specifies a non-detected section as the object-related section when a predetermined condition is satisfied and does not specify the non-detected section as the object-related section when the predetermined condition is not satisfied. The object-detected section is a section in which the specific object is detected. The non-detected section is a section in which the specific object is not detected and which is in a consecutive relation with the object-detected section.

Video analyzing device, video analyzing method, program, and integrated circuit

The voice recognition processing apparatus includes a voice acquirer, a first voice recognizer, a storage device, and a recognition result determiner. The voice acquirer acquires a user's voice, and outputs voice information. The first voice recognizer converts the voice information into first information. The storage device previously stores a dictionary in which an exclusion vocabulary is registered. The recognition result determiner compares the first information with the exclusion vocabulary to determine whether the first information includes a word that agrees with a word included in the exclusion vocabulary. The recognition result determiner determines that the first information is information to be rejected, when the first information includes the word that agrees with a word included in the exclusion vocabulary, and determines that the first information is information to be executed, when the first information does not include the word that agrees with a word included in the exclusion vocabulary.

Speech recognition processing device, speech recognition processing method and display device

Provided is an audio processing device comprising: a feature data generation unit which generates, for each unit section of an audio signal, section feature data expressing features of the audio signal in the unit section; a feature variation calculation unit which calculates, for each unit section, a feature variation value quantifying temporal variation of the features in the unit section, by setting the unit section as a target section and using section feature data of unit sections close to the target section; and a section judgment unit which judges, for each unit section, whether the unit section is a feature unit section including a variation point of the features, based on comparison of a threshold value and the feature variation value. Through the above, the audio processing device can detect feature unit sections from an audio signal of an AV content or the like.

Audio processing device, audio processing method, audio processing program and audio processing integrated circuit

An image recognition device including: a first recognition unit that performs image recognition within an image to find a first object; an obtaining unit that obtains an attribute of the first object found by the first recognition unit; an object specifying unit that refers to object correspondence information showing identifiers of second objects and associating each identifier with an attribute, and specifies an identifier of one of the second objects that is associated with the attribute of the first object; an area specifying unit that refers to area value information showing values that are associated with the identifiers of the second objects and are related to a first area occupied by the first object, and specifies a second area within the image by using a value associated with the identifier of the one of the second objects; and a second recognition unit that performs image recognition within the second area to find the one of the second objects.

Image recognition device, image recognition method, program, and integrated circuit

An interesting section identifying device for identifying an interesting section of a video file based on an audio signal included in the video file, the interesting section being a section in which a user is estimated to express interest, includes an interesting section candidate extracting unit that extracts an interesting section candidate from the video file, the interesting section candidate being a candidate for the interesting section, a detailed structure determining unit that determines whether the interesting section candidate includes a specific detailed structure, and an interesting section identifying unit that identifies the interesting section by analyzing a specific section when the detailed structure determining unit determines that the interesting section candidate includes the detailed structure, the specific section including the detailed structure and being shorter than the interesting section candidate.

Region of interest identification device, region of interest identification method, region of interest identification program, and region of interest identification integrated circuit

The image classification apparatus extracts first features of each received image (S) and second features of a relevant image relevant to each received image (S). Subsequently, the image classification apparatus obtains a third feature by calculation using locality of the extracted first and second features, the third feature being distinctive of a target object of each received image (S), and creates model data based on the obtained third feature (S).

Image classification apparatus, image classification method, program, recording medium, integrated circuit, and model creation apparatus

An interesting section extracting device extracts an interesting section of interest to a user from a video file with reference to an audio signal included in the video file such that a specified time is included in the interesting section. The interesting section extracting device includes an interface device that obtains the specified time; and a likelihood vector generating unit that calculates, in one-to-one correspondence with first unit sections of the audio signal, likelihoods for anchor models that respectively represent features of a plurality of types of sound pieces and generates likelihood vectors having the calculated likelihoods as components thereof. An interesting section extracting unit calculates a first feature section as candidate section, which is candidate for the interesting section to be extracted, by using likelihood vectors and extract, as the interesting section, part of the first feature section including the specified time.

Interesting section extracting device, interesting section extracting method

An audio processing device including a feature calculation unit, a boundary calculation unit and a judgment unit, detects points of change of audio features from an audio signal in an AV content. The feature calculation unit calculates, for each unit section of the audio signal, section feature data expressing features of the audio signal in the unit section. The boundary calculation unit calculates, for each target unit section among the unit sections of the audio signal, a piece of boundary information relating to at least one boundary of a similarity section. The similarity section consists of consecutive unit sections, inclusive of the target unit section, which each have similar section feature data. The judgment unit calculates a priority of each boundary indicated by one or more of the pieces of boundary information and judges whether the boundary is a scene change point based on the priority.

Audio processing device, audio processing method, program and integrated circuit

An image information processing apparatus comprising: an extraction unit that extracts an object from a photographed image; a calculation unit that calculates an orientation of the object as exhibited in the image; and a provision unit that provides a tag to the image according to the orientation of the object.

Image information processing apparatus

Provided is a lifestyle collecting apparatus that collects information for determining a lifestyle of a user, and includes: an object information detecting unit configured to detect object information representing an object around the user; a relevance degree calculating unit configured to calculate a relevance degree of the user to the object, using the object information; an appearance information extracting unit configured to extract appearance information from the object information, and add the relevance degree to the extracted appearance information, the appearance information representing an appearance of the object; and a lifestyle database which stores the appearance information to which the relevance degree has been added, as the information for determining the lifestyle of the user.

Lifestyle collecting apparatus, user interface device, and lifestyle collecting method

To classify moving images using audio signals. An audio signal is acquired, a section feature relating to an audio frequency distribution is extracted with respect to each of a plurality of sections each having a predetermined length contained in the acquired audio signal, each extracted section feature is compared with each of reference section features to calculate a section similarity indicating a degree of correlation between each section feature and each reference section feature. An integrated feature relating to the plurality of sections and being calculated based on the section similarity calculated with respect to each of the plurality of sections is extracted from the acquired audio signal. The extracted integrated feature is compared with each of one or more reference integrated features, and the audio signal is classified based on comparison result. Then, classification result is used for moving image classification.

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Osaka, Japan

Tomohiro Konuma