Panasonic Corporation

Matsushita Electric Industrial Co., Ltd.

Mitsuko Fujita

Yuji Sato

Kyoko Kawaguchi

Masamoto Tanabiki

Kensuke Maruya

Shinji Inoue

Akira Ishikawa

Kazuhiko Iwai

Satoru Hayama

Hiroyuki Waki

Masahiro Oashi

Tatsuya Shimoji

Hiroki Shinohara

Hiroki Nakamura

Shinji Takenaka

Tateaki Nogami

Yoshimitsu Aoki

This posture state estimation device is capable of estimating with high accuracy the posture state of an object. The posture state estimation device () is a device for estimating the posture state of an object having a plurality of sections connected by joints on the basis of image data that images the object, and has a section candidate extraction unit () for extracting a section candidate for a section from the image data, a complementary section candidate extraction unit () which estimates that a portion of an unextracted section for which a section candidate has not been extracted is being shadowed by an already extracted section for which a section candidate has been extracted in order to extract a section candidate of the unextracted section, and a posture state estimation unit () for estimating the posture state of the object on the basis of the extracted section candidate.

Posture state estimation apparatus and posture state estimation method

State-of-posture estimation device and state-of-posture estimation method

Provided is a posture estimation device with which it is possible to estimate the posture of an object having joints with a high degree of precision. A posture estimation device () carries out an estimation of a posture of an object on the basis of image data. An object having a plurality of sites which are connected by joints is photographed. The posture estimation device includes a reference model storage unit () which stores a reference model, which defines the locations of the sites, for each posture. A weighting computation unit () carries out weighting on the sites for each posture such that the weighting of concentrated parts is reduced. A posture estimation unit () estimates the posture of the object by applying the weighting and comparing the reference model with the object.

Posture estimation device, posture estimation system, and posture estimation method

A posture estimation device, which is able to estimate the posture of a humanoid articulated body with high precision, has: a head estimation unit () that estimates the position of a person's head from image information for an image that contains a person; a foot estimation unit () that, from the image information, estimates the position of the person's foot for which the sole of the foot is parallel to the floor surface; and a posture estimation unit () that estimates the posture of the person on the basis of the relative positional relationship between the estimated head position and the estimated foot position. For example, the posture estimation unit () estimates the side on which the foot is located, with respect to the head, as the front side of the person.

Posture estimation device, posture estimation method, and posture estimation program

The present invention is a posture estimation device for estimating a wide variety of 3-dimensional postures by using a skeletal model. The posture estimation device () has: a skeletal backbone estimation unit () for estimating the position of a feature location of a person within an acquired image; a location extraction unit () which generates a likelihood map indicating the certainty that a location other than the feature location of the person exists in the acquired image based on the position of the feature location of the person; and a skeletal model evaluation unit () for evaluating, based on the likelihood map, a candidate group which includes a plurality of 2-dimensional skeletal models as candidates and such that each 2-dimensional skeletal model is configured from a line group representing each location and a point group representing coupling between each location and corresponds to one posture of the person.

Posture estimation device and posture estimation method

A human detection and tracking apparatus prevents errors in a size of a person and a location of body parts between actual image data and a tracking result. Human frame detecting section detects, from first image data, a human frame as a region having high possibility of presence of a human, based on human feature data representing a feature of an entire human body. Body part frame location determining section determines a body part frame in the first image data, based on part feature data illustrating a feature of a body part of the human and a part frame determined as a region having high possibility of presence of a body part of the human in second image data previous to the first image data. Body part frame location correcting section corrects, based on the human frame, a location of the part frame determined in the first image data.

Human detection and tracking apparatus, human detection and tracking method, and human detection and tracking program

Disclosed is an orientation state estimation device capable of estimating with high accuracy the orientation state of a jointed body. An orientation state estimation device () estimates the orientation state of a body on the basis of image data of the body having multiple parts connected by joints. The device is provided with: a likelihood map generation unit () which, from the image data, for at least two parts of the jointed body, generates a likelihood map showing the plausibility distribution of where each part is most plausibly positioned; and an orientation state estimation unit () which, when a learning likelihood map, which is associated in advance with an orientation state, and an estimated likelihood map, which is generated on the basis of the image data, coincide to a high degree, estimates that the orientation state associated with said learning likelihood map is the orientation state of the object.

Orientation state estimation device and orientation state estimation method

Disclosed is an object detection method capable of detecting with high precision information relating to a jointed object from image data. An object detection device () detects information relating to an object from image data of images captured of an object having multiple parts connected by joints. The disclosed object detection device () is provided with a joint angle extraction unit () which extracts the angle of a joint connecting two parts from candidates of the positions of two neighboring parts obtained from the image data, and a part length ratio estimation unit () which uses the joint angle to perform the detection described above.

Object detection device and object detection method

Provided is a person detection device with which it is possible to estimate a state of a part of a person from an image. A person detection device () comprises: an evaluation unit () which acquires a prescribed outline of a person from an evaluation image; and a shoulder position calculation unit () and an orientation estimation unit () which estimate a state of a prescribed part of a person which is included in the evaluation image from the prescribed outline of the person which is acquired from the evaluation image, on the basis of an estimation model which denotes a relation between the prescribed outline and the state of the prescribed part of the person.

Person detection device and person detection method

A Just-In-Time compiler is provided for use with a virtual machine that executes a virtual machine instruction sequence under the control of a real machine. The compiler converts parts of the virtual machine instruction sequence into the real machine instruction sequence before execution and includes a block start information unit that determines whether the encoded block start information indicates a corresponding virtual machine instruction would correspond to the start of a basic block if the virtual machine instruction sequence was divided into basic blocks. A converting unit converts the virtual machine instructions into real machine instruction sequences and an outputting unit rearranges the real machine instruction sequences from the converting unit into basic blocks in accordance with the block start information. Additionally, the compiler can be enabled by a program stored on a computer readable recording medium.

High speed virtual machine and compiler

A broadcast transmitting apparatus stores and manages the material for composing a broadcast program as AV data, creates storing control information showing a process control method when storing this AV data in a broadcast receiving apparatus, and storing management information showing management information during storing, and registers them as reference information and stores and manages, and transmits according to schedule information managing the schedule of the broadcast program. On the other hand, the broadcast receiving apparatus executes an storing control command according to the storing control information, and stores and manages the AV data according to the storing management information. Further, the broadcast transmitting apparatus creates application information from the reference information being stored and managed, and transmits it together with service application for executing broadcast program service. Receiving them, the broadcast receiving apparatus extracts the corresponding AV data from the stored and managed AV data according to the application information, and executes the service application. By such processing, the transmitting apparatus can control the AV data to be stored in the receiving apparatus, and the broadcast program service using it.

Broadcast transmitting apparatus, receiving apparatus, and broadcast transmitting method, receiving method

When gradation values of an original image are converted, a pixel data read unit reads out a piece of pixel data, and a pixel data conversion unit converts the gradation value of the piece of pixel data. A condition judging unit decides whether a pixel corresponding to the piece of pixel data satisfies a predetermined condition, and a data conversion correction unit corrects by a stochastic process the conversion performed by the pixel data conversion unit when the condition judging unit decides that the piece of pixel data satisfies the predetermined condition.

Growing community of inventors

Tokyo, Japan

Mitsuko Fujita