Panasonic Corporation

Panasonic Intellectual Property Management Co., Ltd.

Sumio Yokomitsu

Takeshi Watanabe

Hirofumi Fujii

Yuichi Matsumoto

Masataka Sugiura

Takeshi Fujimatsu

Michio Miwa

Mikio Morioka

Kenji Kondo

Shoichi Araki

Chak Joo Lee

Jun Ikeda

Takayuki Matsukawa

Hiromichi Sotodate

Marie Kuwahara

Katsunori Waragai

Hailin Yan

Masaaki Sato

Hiroaki Yoshio

Ichiro Masaki

Manabu Nakamura

Yasuo Yomogida

Berthold K P Horn

Masaya Sato

Kaori Mori

Yajun Fang

Shintaro Nagai

Hiroyuki Ohno

Hideaki Oi

An image transmission device includes an image input unit that inputs a plurality of continuous images, a data amount reduction unit that reduces an amount of data of the plurality of images that are input to the image input unit, and generates a data amount reduced image, and a transmission unit that transmits the data amount reduced image to an image reception device that performs a recognition/authentication process with respect to the data amount reduced image. The data amount reduction unit reduces the amount of data of the plurality of images by a reduction method corresponding to the recognition/authentication process that is performed in the image reception device.

Image transmission device, image transmission method, image transmission program, image recognition and authentication system, and image reception device

Provided are a camera that images a subject; a person tracking portion that detects a person from an image which is captured by the camera and tracks the detected person; a person interpretation portion that extracts items including a number of face detections, a movement direction, a facing direction, a focus, a dynamic range and a view angle as store visitor information with respect to the person who is tracked by the person tracking portion; a camera installation condition estimation unit that estimates whether installation conditions including an installation position, a height, the view angle and the focus of the camera are appropriate based on the store visitor information which is extracted by the person interpretation portion; and a user presentation unit that presents a result estimated by the camera installation condition estimation unit.

Optimum camera setting device and optimum camera setting method

A video transmission apparatus detects a target object to be monitored from images obtained by imaging a monitoring area, tracks the detected target object, obtains existence time from appearance to disappearance of the target object, and transmits a data volume reduced image of the target object to a video reception apparatus. The video reception apparatus analyzes the data volume reduced image transmitted from the video transmission apparatus and transmits a video request of the target object to the video transmission apparatus) based on input made according to the result of the analysis. When the video request transmitted from the video reception apparatus is received, the video transmission apparatus generates a monitoring video from the appearance to the disappearance of the target object based on the existence time of the target object and transmits the monitoring video to the video reception apparatus.

Video monitoring system

An image pickup device transmits to a server a transmission sample including a detection image detected by a first detection section from a transmitting/receiving section under the control of a transmission sample control section. The server performs detection processing that requires more resources than those of the first detection section on the detection image transmitted by a second detection section from the image pickup device, and determines whether or not the detection image in question is spurious, based on a second detection score which is thereby obtained. A transmission frequency deciding section generates transmission frequency control information such as to raise the transmission frequency by an image pickup device that has a high frequency of spurious detection; a transmitting/receiving section transmits the transmission frequency control information to the image pickup device.

Image processing system, server device, image pickup device and image evaluation method

An image monitoring system that efficiently utilizes a network band and decrease the processing load of a server is provided. A second image decision processor analyzes an extracted image transmitted from a monitoring terminal, and evaluates the quality (reliability) of the extracted image. A reliability decision unit outputs an individual ID of the analyzed extracted image to a load estimation unit when the numerical value from the analysis output by the second decision processor becomes less than the preset threshold. The load estimation unit estimates the server processor load of a server and the network load. A resend request unit controls the resend request for an individual ID output from the negative load estimation unit corresponding to the server processor load and the network load.

Camera device, server device, image monitoring system, control method of image monitoring system, and control program of image monitoring system

Each camera comprises an image generation unit for generating an image by capturing the image, a moving object detection unit for detecting a moving object from the image and transmitting information on the position of the moving object to the server, and an image transmission unit for, when the camera is selected by the server, transmitting an image. The server comprises an image delivery camera selection unit for selecting some cameras as image delivery cameras from among the cameras based on the information on the position of the moving object transmitted from each of the cameras, an image delivery camera notification unit for notifying the selection result to the cameras, and an image input unit for inputting the images transmitted from the image delivery cameras.

Image capturing system, camera control device for use therein, image capturing method, camera control method, and computer program

A panoramic image display device divides a panoramic expansion image into at least two panoramic images and displays the panoramic images. The panoramic expansion image display device including: a clipping reference position setting unit that sets a clipping reference position for the panoramic expansion image; an object detection unit that detects an object as a display target from the panoramic expansion image; a clipping position determination unit that determines a clipping position of the panoramic image according to a relationship between a detected object position and the clipping reference position; and a display image generation unit that displays the panoramic image clipped from the panoramic expansion image at the clipping position.

Panoramic expansion image display device and method of displaying panoramic expansion image

A thronging determination device for determining occurrence of a thronging state in which persons are gathered locally, includes an image receiving unit that receives a moving image, an image dividing unit that divides an input image received by the image receiving unit into local regions, and a degree-of-congestion estimating unit that judges the degree of congestion in plural ones of the local regions. If the degree-of-congestion estimating unit judges that the degree of congestion in the plural ones of the local regions is lower than a prescribed value, a thronging determination is performed using local regions that are smaller in number than the local regions that have been used in estimating the degree of congestion.

Thronging determination device and thronging determination method

A people counting device includes: a person presence region extraction unit which extracts a region in which a person is present by performing person detection in relation to an input image; a person presence state estimation unit which estimates a person presence state from an extraction result; a portion detector selection unit which selects a type of portion detector to be used for people count measurement based on the estimation result, and outputs portion detector information. The people counting device further includes: a portion detection process unit which performs a portion detection process for detecting a portion of a person based on the portion detector information; and a people counting unit which obtains a number of people within the input image from a portion detection process result.

People counting device, people counting method and people counting program

An image display device is configured to cut out and display a moving object within an omnidirectional image. The image display device includes: a moving object position acquisition unit configured to acquire a position of the moving object within the omnidirectional image; a determination unit configured to determine whether to correct an upward direction of a cutout image; a parameter correction unit configured to correct a cutout parameter when the determination unit determines to correct the upward direction of the cutout image; a cutout unit configured to cut images including the moving object out of the omnidirectional image based on the cutout parameter corrected by the parameter correction unit; and a display unit configured to display the images including the moving object, which are cut out by the cutout unit.

Image display device and image display method

A color correction device () including: color set information storage portions () which store color set information inclusive of source colors and reference colors; region selection portions () which select specific source regions from source images picked up by two camerasrespectively; region color decision portions () which decide source region colors as colors representative of the source regions; color set update portions () which update source colors in color sets by using the source region colors; and color correction portions () which calibrate colors in ranges similar to the source colors in the two source images to reference colors by using the color sets. It is possible to eliminate the necessity of holding information of color sets unnecessary for color correction, so that it is possible to reduce the load imposed on calculation and adapt to a change of lighting environment in real time.

Color correction device, color correction method, dynamic camera color correction device, and video search device using the same

A congestion estimating apparatus includes an area dividing unit that divides a moving image into partial areas. A movement information determining unit determines whether there is movement, and a person information determining unit determines whether there is a person, in each partial area. A staying determining unit determines a state for each partial area. The staying determining unit determines the state as a movement area in which there is a movement of person when there is movement and there is a person; and determines the state as a noise area when there is movement and there is no person; and determines the state as a staying area in which there is a person who is staying when there is no movement and there is a person; and determines the state as a background area in which there is no person when there is no movement and there no person.

Situation determining apparatus, situation determining method, situation determining program, abnormality determining apparatus, abnormality determining method, abnormality determining program, and congestion estimating apparatus

An image processing device comprises a region dividing unit which divides a captured image obtained by a camera unit into a plurality of regions, and an image compressing unit which compresses each of region images obtained by the division by the region dividing unit while changing the compression rate according to the distance from a predetermined point in the captured image to each of the region images and the distance from the camera unit to a target included in each of the regions. For example, the image compressing unit compresses the region image having a larger angle from the optical axis at a larger compression rate, thereby achieving compression in which the amount of data in low-quality regions is greatly reduced and the quality of high-quality regions is maintained.

Image processing device and image processing method

The invention provides a situation and abnormality determining apparatus, method, and program capable of easily determining the situation of a monitoring place and the degree of congestion. In addition, the invention provides a congestion estimating apparatus capable of easily and accurately estimating the degree of congestion of persons using an image. A situation determining apparatus for analyzing captured moving images or a plurality of captured still images to determine a movement situation and/or a degree of congestion of persons includes: a local image change ratio calculating unit that calculates a time change ratio of a brightness value in a local area of the captured images; and a situation determining unit that analyzes a histogram of the time change ratios of a plurality of local areas calculated by the local image change ratio calculating unit and determines the movement situation of the persons and/or the degree of congestion of the persons.

The apparatus comprises a feature quantity extraction part for extracting a feature quantity of a subject from video captured by plural cameras, an In/Out point extraction part for extracting In/Out points indicating points in which a subject appears and disappears in each video captured, an In/Out region formation part for forming In/Out regions based on the In/Out points extracted, a correlation value calculation part for calculating a correlation value by obtaining the total sum of similarities every feature quantity of the subject in each of the plural combinations of In/Out points included in the In/Out regions, a frequency histogram creation part for creating a frequency histogram based on the correlation value, and a link relation information generation part for extracting a peak of the frequency histogram and estimating the presence or absence of a link relation between the plural cameras and generating link relation information.

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Tokyo, Japan

Sumio Yokomitsu