Abstract: 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 system 100 is provided with: an image acquiring unit 101 which acquires a plurality of images; an arithmetic logic unit 108; and a storage unit 106 which 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 unit 108 comprises: an image feature quantity acquiring unit 103 which obtains image feature quantities of objects in the acquired images; a motion line acquiring unit 104 which obtains motion lines of the objects in the acquired images; a motion feature quantity acquiring unit 105 which obtains motion feature quantities of the objects on the basis of the obtained motion lines; and a crowd density acquiring unit 107.

Abstract: 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.

Abstract: 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 system 100 is provided with: an image acquiring unit 101 which acquires a plurality of images; an arithmetic logic unit 108; and a storage unit 106 which 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 unit 108 comprises: an image feature quantity acquiring unit 103 which obtains image feature quantities of objects in the acquired images; a motion line acquiring unit 104 which obtains motion lines of the objects in the acquired images; a motion feature quantity acquiring unit 105 which obtains motion feature quantities of the objects on the basis of the obtained motion lines; and a crowd density acquiring unit 107.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: A program is to be executed by a computer having an image display apparatus. The program, when executed, causes the computer to perform the functions of displaying an initial image on the display apparatus; receiving a zoom-in boundary designated on the displayed initial image, the part of the displayed initial image surrounded by the zoom-in boundary being a target image to be enlarged; detecting a size of the zoom-in boundary; comparing the detected size of the zoom-in boundary with a reference size; if the detected size of the zoom-in boundary is smaller than the reference size, setting a middle boundary that defines a redefined image on the initial image, and enlarging the redefined image to display the enlarged redefined image on the display apparatus. The redefined image includes the entire part of the target image and a part of the initial image outside of the zoom-in boundary.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: A program running on a computer constituting an image displaying apparatus includes the functions of: (a) displaying a target image to be enlarged; (b)enlarging a part of the displayed target image and displaying the enlarged part of the target image; and (c)receiving an enlarging range designated by an operator for the displayed part of the target image. The program further includes (d)enlarging an image portion in the designated enlarging range for the displayed part of the target image and displaying the enlarged image portion, wherein the functions of the program are achieved by the computer.

Abstract: 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.

Abstract: An image distribution system includes an image storage distribution apparatus for storing images picked up by an imaging unit and an image conversion apparatus for obtaining an image from the image storage distribution apparatus if the image is required by a mobile terminal and then distributing the image to the mobile terminal. In this system, a frame for selecting an image range to be enlarged is displayed on the stored image displayed on the mobile terminal. The frame may be optionally moved or changed in size. With this frame, the desirous range of the image is enlarged multiple times, and the enlarged image is displayed on the mobile terminal.

Abstract: 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.

Abstract: A hematological specimen for classifying and counting leukocytes with a flow cytometer is prepared. A sample to be assayed is prepared by eliminating influences of erythrocytes from a hematological sample without changing leukocytes morphologically; adjusting the pH value to a level suitable for staining; and staining the leukocytes with at least two dyes including Astrazon Yellow 3G capable of specifically staining at least basophils and immature granulocytes and Neutral Red capable of specifically staining at least eosinophils. Thus leukocytes contained in the hematological sample can be classified at least three or six groups including immature granulocytes by measuring a single specimen with a flow cytometer.