Panasonic Intellectual Property Management Co., Ltd.

Panasonic Corporation

Junko Ueda

Masamoto Tanabiki

Yuma Katayama

Koichi Emura

Hirofumi Nishimura

Mikio Morioka

Takuya Nanri

Masataka Sugiura

Koji Arata

Shinji Takenaka

Yasuaki Inatomi

Toshiki Kanehara

Yoshimitsu Aoki

Yasunari Kimura

Kazuyuki Aota

Arata Mukai

A mobile entity tracking device is provided with: a video receiving unit for receiving a moving-image frame of a ball game captured by each of a plurality of cameras present at different positions; a mobile entity candidate extraction unit for extracting a candidate for a mobile entity using a plurality of moving-image frames; a mobile entity selection unit for displaying candidates for a mobile entity and accepting selection, by a user, of the mobile entity to be tracked; and a mobile entity tracking unit for tracking the mobile entity that is the object to be tracked. When the mobile entity selection unit accepts selection, by a user, of the mobile entity to be tracked, the mobile entity tracking unit corrects the object to be tracked to the mobile entity selected by the user.

Mobile entity tracking device and method for tracking mobile entity

This ball game video analysis device: receives movie frames captured by cameras; computes the trajectory of the three-dimensional positions of a ball using the received multiple movie frames; determines, on the basis of a change in the ball trajectory, whether or not any action has been made by a player with respect to the ball; in the case when there has been such an action, selects, as an action frame, the movie frame corresponding to the timing at which said action was made; and identifies, from the action frame, a player who made that action.

Ball game video analysis device and ball game video analysis method

A motional state of a player in a video displaying the player in motion is easily determined. This player state display system includes a display device which displays a player video that includes information related to a motional state of the player. A processor generates, based on information that is obtained from an analysis video obtained by capturing the player in motion, a player state display image obtained by visualizing a movement zone corresponding to at least one predetermined motion of the player, and generates, as the player video, a video obtained by superimposing the player state display image on the video including the player in motion.

Player state display system and player state display method

To precisely specify lane regions that are present in an image. In a situation in which a lane specification device an imaging device, and a swimming pool are present, a processor in the lane specification device according to the present disclosure specifies lane regions that are present in an image on the basis of a pattern in which information obtained on the basis of outlines of objects in the image captured by the imaging device appears in the image. In this manner, it is possible to precisely specify the lane regions that are present in the image.

Lane specification method and lane specification device

To provide a motion video segmenting method, a motion video segmenting device, and a motion video processing system that increase accuracy of motion video analysis performed by segmenting a motion video. A difficulty degree of each image configuring a pack is determined, and in a case where an image of a difficulty degree of Low continues for a predetermined value F_cnt or more, a motion video is segmented with an image one before a last of consecutive images to form a pack.

Motion video segmenting method, motion video segmenting device, and motion video processing system

To provide a motion video segmenting method, a motion video segmenting device, and a motion video processing system that are capable of reducing variation of time required for processing in a case where a motion video is segmented at a predetermined time, and an image processing device performs predetermined processing on a segmented motion video. The motion video segmenting device calculates a load value for each pack based on a rate of an image in which a difficulty degree is high included in the pack, and determines an image processing device having a smallest accumulation value of the load value of the pack which is transmitted previously as the transmission destination when image processing device which is the transmission destination of the pack is determined.

To precisely identify a state of an athlete who is present in a swimming pool, a processor used in a device for identifying a state of an athlete or a method for identifying a state of an athlete refers to a result of performing processing of detecting the athlete in a video image obtained by imaging the athlete who is present in the swimming pool and identifies an advancing direction of the athlete as a direction that is different from the previous advancing direction on the basis of a result of the detection of the athlete after the athlete is present in a region on the side of an end of the swimming pool. In this manner, it is possible to more accurately identify the advancing direction of the athlete and to thereby precisely identify the state of the athlete who is present in the swimming pool.

Method for identifying state of athlete and device for identifying state of athlete

In a case in which the size of a moving body changes by a position of the moving body, in order to accurately track the moving body without an effort of the user regardless of a change in the size, the present disclosure estimates a size of the moving body in each of the images of the frames, updates template data based on the estimated size of the moving body, and compares a candidate region that is a candidate of a region where the moving body is present in each of the images of the frames with the template data, and determines whether or not the moving body is positioned in the candidate region based on the comparison result.

Moving body tracking method, moving body tracking device, and program

A correcting and verifying method and a correcting and verifying device cause a processor to display a specific frame image as a frame image to be confirmed based on a tracking result of a moving body in each of a plurality of frame images which configure a video, and to correct a position of the moving body in the frame image to be confirmed in a case where a correction instruction of a user is received.

Correcting and verifying method, and correcting and verifying device

The present disclosure provides a person tracking method of tracking a person with high precision. According to a person tracking method and a person tracking device of the present disclosure, a processor determines coordinates of a plurality of persons of a video within the video. The processor specifies a group area as an area where the persons of the video are dense. The processor tracks coordinates of a certain person within the video. The processor determines a locus of coordinates of the certain person in the group area based on coordinates of the certain person out of the group area and a number depicted on a clothing.

Person tracking method and person tracking device

A moving body tracking method and a moving body tracking device detect a position of a moving body in each of a plurality of frame images which configure a video, detect a trajectory of the moving body based on the image which is obtained by using the plurality of frame images, determine a final position of the moving body in each of the plurality of frame images based on the detected position and the position of the moving body which is obtained from the detected trajectory, and output the determined position.

Moving body tracking method and moving body tracking device

Provided is a stereo image processing device, with which it is possible to compute disparity with high precision even for an object of a small image region size in a baseline length direction. With this device, an image matching unit () acquires a correspondence point of a reference image for a target point of a target image. An image cropping unit () extracts first two-dimensional pixel data including the target point from the target image, and extracts second two-dimensional pixel data including the correspondence point from the reference image. An image reconfiguration unit () reconfigures the respective first two-dimensional pixel data and second two-dimensional pixel data into first one-dimensional pixel data and second one-dimensional pixel data. A peak position detection unit () computes disparity based on the correlation between the first one-dimensional pixel data and the second one-dimensional pixel data.

Stereo image processing device and stereo image processing method

An information displaying apparatus is capable of providing an easy-to-see display of information that the user wants to know out of information related to objects seen in a captured real-world image. The information displaying apparatus comprises an image input unit for inputting a captured real-world image. A distance acquiring unit acquires the distance between an object seen in the input captured real-world image and a view point of the captured real-world image. An object superimposing unit outputs an image in which information related to the object is superimposed on the captured real-world image. An information output control unit controls the information output by the object superimposing unit. The information output control unit decides, in accordance with the acquired distance, how to present the information outputted by the object superimposing unit.

Information displaying apparatus and information displaying method

A position identifying system () is comprised of a radio terminal device () carried by a monitoring target and a sensor device () provided with a radio communication unit () for communicating by radio with the radio terminal device () and a camera unit () for taking an image of the monitoring target. In the sensor device (), the position (tag position) of the radio terminal device () is detected on the basis of a detection signal from the radio terminal device (), and the position (image position) of the monitoring target is calculated on the basis of the image taken by the camera unit (). By linking the tag position with the image position, the position of the monitoring target is identified. Thus, there is provided the position identifying system capable of identifying the position of the monitoring target and keeping track of the movement of the monitoring target even if the image of the monitoring target cannot be taken.

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Kanagawa, Japan

Junko Ueda