Hitachi-kokusai Electric Inc.

Mitsue Ito

Wataru Ito

Kazunari Iwanaga

Hirotada Ueda

Kazuya Takahashi

Masanori Miyoshi

Miyako Hotta

Seiichi Hirai

Miyuki Fujii

Kazuhito Yaegashi

Tsuyoshi Kawabe

Dmitry Nikolayevich Stepanov

Vitaly Alexandrovich Lopota

Alexander Sergeyevich Kondratyev

Victor Ivanovich Yudin

Sergey Anatoliyevich Polovko

Ekaterina Yurevna Smirnova

Kirill Nikolayevich Stupin

Lev Borisovich Kogan

The present invention provides a crowd monitoring system with which it is possible to obtain a crowd density accurately, irrespective of the congestion state. This crowd monitoring systemis provided with: an image acquiring unitwhich acquires a plurality of images; an arithmetic logic unitand a storage unitwhich stores information relating to relationships between image feature quantities and an object density, acquired in advance, and information relating to relationships between motion feature quantities and the object density. The arithmetic logic unitcomprises: an image feature quantity acquiring unitwhich obtains image feature quantities of objects in the acquired images; a motion line acquiring unitwhich obtains motion lines of the objects in the acquired images; a motion feature quantity acquiring unitwhich obtains motion feature quantities of the objects on the basis of the obtained motion lines; and a crowd density acquiring unitThe arithmetic logic unitis characterized in that it obtains a first estimated density of the objects on the basis of the obtained image feature quantities and the stored relationships between the image feature quantities and the object density, and obtains a second estimated density of the objects on the basis of the obtained motion feature quantities and the stored relationships between the motion feature quantities and the object density.

Crowd monitoring system

This crowd monitoring system (MS) is provided with: a storage unit in which a plurality of images of a crowd including moving bodies are stored; a feature-value extraction unit which extracts a feature of each image; a number of persons input image selection unit which takes into account the distribution of the features, and selects, from among the images, a sample image for inputting the number of persons among the moving bodies; the number of persons input reception unit which displays, on a display unit, an input screen for inputting the number of persons among the moving bodies in the sample image, and receives an input of the number of persons among the moving bodies in the sample image; and a feature total number function generation unit which generates a function indicating the relationship between the features and the total number among the moving bodies.

Crowd monitoring system and crowd monitoring method

An image processing apparatus such as a monitor system for executing image processing to present a suspicious object effectively. An object detecting unit detects an object contained in an image, an associating unit associates a plurality of objects detected with the object detecting unit, with each other, and an evaluating unit evaluates (e.g., evaluation as being suspicious) an object detected by the object detecting unit, and an association evaluating unit evaluates another object associated by the associating unit with the object evaluated by the evaluating unit, in accordance with the evaluation made by the evaluating unit.

Image data processing apparatus and method for object detection and judging suspicious objects

In an image processing apparatus for processing images, a transformation unit transforms an image on a first coordinate system representing a coordinate system during pickup to an image on a second coordinate system set up on a reference plane, a display unit displays an image transformed by the transformation unit and a reception unit receives setting information a user inputs in accordance with a displayed image on the display unit. For example, in the image processing apparatus, the reception unit receives, as the setting information, information to be used for image processing.

Image processing apparatus

Binarization is performed using a threshold image obtained by multiplying a variation in each pixel value of an input image with a coefficient. Although the variation is time-averaged based on an update coefficient for each pixel, the update coefficient is switched depending on whether or not a relevant pixel belongs to the object. Subsequently, from the binary image, an initial detection zone is formed and a spatial filtering process is performed thereto. The spatial filtering process includes at least one of skeleton analysis processing, object mask processing, morphology processing, and section analysis processing. For a tracking zone, the temporal positional change thereof is tracked, and the noise is reduced. Some of the tracking zones are removed, and the remaining zones are integrated into a cluster, and furthermore the cluster selection is performed based on the dimensions in real space.

Intrusion alarm video-processing device

A human pursuit system includes a plurality of cameras, shooting directions of which are directed toward a floor, are installed on a ceiling, a parallax of an object reflected in an overlapping image domain is calculated on the basis of at least a portion of the overlapping image domain where images are overlapped among shot images shot by the plurality of cameras, the object equal to or greater than a threshold value predetermined by the calculated parallax is detected as a human, a pattern image including the detected human object is extracted, and a pattern matching is applied to the extracted pattern image and the image shot by the camera to thereby pursue a human movement trajectory.

Human pursuit system, human pursuit apparatus and human pursuit program

An image data storage method and system for editing image date transmitted from an image producing apparatus through a network and storing it in a removable recording medium includes a network, an image producing apparatus for transmitting image data through the network, an image storing and delivering server for storing the image data transmitted from the image producing apparatus through the network and delivering it through the network, an image receiving apparatus for communicating with the image storing and delivering server through the network to receive the image data from the image storing and delivering server, and an external recording apparatus combined with the image receiving apparatus for storing the image data from the image receiving apparatus in a recording medium. The image receiving apparatus stores reproduction software for reproducing the image data in the recording medium together with image data.

Image data storage method and system

A method for editing an image on a display unit, an apparatus for executing the method and a computer program product for the method, wherein a predetermined CG object is designated in an image on the display unit, and in order to edit the image, a first command list for speech, motion, moving image reproduction or audio reproduction is displayed on the display unit, a command for editing the designated CG object is selected from the first command list and executed for the designated CG object. In the method of editing the image on the display screen and the apparatus for executing the method, the position information of the CG object located in the CG studio on the display unit and the information on the position and orientation of the camera for imaging the CG studio are read from a memory, it is determined whether the CG object selected by the pointing device is a CG character or a property, the information on the position to which the pointing icon has moved on the display unit by manipulating the pointing device is acquired, and the selected CG object is moved to the position to which the pointing icon has moved. Based on the information on the position to which the CG object has moved, the data on the character set-up window is updated in the case where the CG object is a CG character, and the data on the studio set-up window is updated in the case where the CG object is a property. The selected CG object can be dragged to the desired position by the pointing device.

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Kodaira, Japan

Mitsue Ito