Abstract:
PROBLEM TO BE SOLVED: To obtain a processing result as expected corresponding to the luminance of color image data, in an image processor which processes the color image data by a neutral network. SOLUTION: The color image data Do are inputted to the network part 16 of the neutral network 14 of a BP-method learning type after normalized to values of 0 to 1 by a normalization part 12. The network part 16 applies luminance conversion processing to the color image data Do on the basis of parameters Wnm, Wpn, θn and θp set from a parameter setting part 18. At this time, the color image data Do are processed as a quaternion. Namely, three components, an R component, a G component and a B component constituting the color image data Do are collectively processed as three-dimensional vector data. Furthermore, the parameters Wnm, Wpn, θn and θp set in the network part 16 are selected according to the luminance of the color image data Do. COPYRIGHT: (C)2006,JPO&NCIPI
Abstract:
PROBLEM TO BE SOLVED: To enhance the sensitivity with which a moving object is detected where its movement, if any, does not easily appear as the magnitude of a brightness change. SOLUTION: A T calculating part 2 detects a change in the brightness of a pixel within an image frame. A T determining part 6 compares the detected change with a T threshold, and if the detected change is greater than the T threshold, determines that the movement of the object exists at the pixel. A threshold setting part 8 which creates the T threshold sets the T threshold by using the dispersion of the brightness values of pixels which corresponds to the pixel in the previous frame. COPYRIGHT: (C)2004,JPO
Abstract:
PROBLEM TO BE SOLVED: To achieve camera calibration very simply. SOLUTION: In a camera calibration apparatus and method which determines camera parameters for associating two-dimensional image coordinates set on a photographed image by a fixed camera with three-dimensional world coordinates set in the real space, a map image which simulates a plane (x, y, 0) of which the height z in the real space is zero is provided. The two dimensional coordinates (α, β) of the map image and the world coordinates (x, y, 0) of the plane are associated with each other by a scaler 40. When the position of an indicator placed in the real space is designated on the map image, therefore, the world coordinates (x, y, 0) of the position is determined, and by adding the height of the indicator to this, the world coordinates (x, y, z) at the height position of the indicator is determined. The world coordinates (x, y, z) of the indicator are thus determined very simply, achieving camera calibration very simply. COPYRIGHT: (C)2009,JPO&INPIT
Abstract:
PROBLEM TO BE SOLVED: To accurately control the direction of a camera on a photographed image as designated. SOLUTION: A monitor system 10 comprises a revolving camera 20 and a personal computer (PC) 30 as a control apparatus for controlling the direction of the camera 20. In such a monitor system 10, an image photographed by the camera 20 is displayed on a display 32 of the PC 30. When an arbitrary point is designated on the displayed photographed image by a mouse 34, the direction of the camera 20 is then controlled so that the designated point is positioned in the center of a screen. In such control, a mechanical axis coordinate system on the basis of a turning center of the camera 20 is conceptually introduced. In the mechanical axis coordinate system, the direction of the camera corresponding to the designated point is then determined, and the relevant camera is turned in the determined direction. As a result, the direction of the camera is accurately controlled to the direction corresponding to the designated point. COPYRIGHT: (C)2007,JPO&INPIT
Abstract:
PROBLEM TO BE SOLVED: To precisely measure a height of a moving person, as to a height measuring instrument for measuring the height of the person based on a photographed image with the photographed person. SOLUTION: A passerby 4 moving on a floor face 6 is photographed by a video camera 2. A personal computer 10 determines a height data of the passerby 4 from the floor face 6, in every of the plurality of images obtained from the video camera 2 photographing the passerby 4 moving in positions different respectively on the floor face 6. The personal computer 10 processes statistically the respective height data to determine the height of the passerby 4. An average value and a standard deviation of the respective height data are calculated, in the statistical processing, to settle the average value of the the height data having a value or more obtained by adding the standard deviation to the average value, as the height of the person. COPYRIGHT: (C)2007,JPO&INPIT
Abstract:
PROBLEM TO BE SOLVED: To track the movement of a mobile and displaying the result on one screen on the basis of images photographed by a plurality of cameras. SOLUTION: Mobile detection and 3D conversion sections 28, 30 detect the mobile depending on imaging signals generated from a camera 12 for imaging an imaging region 18 and a camera 14 for imaging an imaging region 20 which is partly overlapped with the imaging region 18, and generate labels including mobile body positional information representing the position of the mobile and mobile position accuracy information representing the accuracy of the mobile positional information. An integration server 36 integrates the positional information items of the labels on the basis of the mobile position accuracy information of both the labels when the labels correspond to one and same mobile. Images corresponding to the imaging regions 18, 20 are displayed on one display screen of clients 38, 42, indicators corresponding to the labels are displayed at positions corresponding to the positional information items of the labels, and after the labels are integrated, an indicator is displayed on the basis of the integrated label. COPYRIGHT: (C)2006,JPO&NCIPI
Abstract:
PROBLEM TO BE SOLVED: To automatically acquiring the height of an object to be sensed by specifying the object to be sensed in a two-dimensional image acquired by one camera. SOLUTION: A master camera 2 two-dimensionally photographs both a reference plane 4 in a three-dimensional space and the object to be sensed in the reference plane. The object to be sensed is determined on the basis of a two-dimensional image of the camera 2. Both first two-dimensional coordinates of the image of the object to be sensed in a two-dimensional reference plane 4a corresponding to a reference plane 4 in the two-dimensional image and second two-dimensional coordinates of the object to be sensed at a distance from the two-dimensional reference plane 4a on the basis of the two-dimensional coordinates are determined by a personal computer 8. The personal computer 8 converts the first two-dimensional coordinates into first three-dimensional coordinates in a reference plane 4 in a three-dimensional space and converts the second coordinates into second three-dimensional coordinates. The conversion into the second three-dimensional coordinates is performed by arranging the location of a first or second three-dimensional coordinate axis in the second three-dimensional coordinates at the location of first or second three-dimensional coordinates of the first three-dimensional coordinates. COPYRIGHT: (C)2005,JPO&NCIPI
Abstract:
PROBLEM TO BE SOLVED: To simulate which range can be photographed before installing a camera. SOLUTION: A top view (6) of a prescribed area is displayed on an upper surface window 4 and a camera upper surface display 10 arranged on an optional position in the upper surface window 4 is displayed on the arrangement position. According to the display of the camera upper surface display 14, a camera horizontal visual field display 18 is displayed in the upper surface window 4. Simultaneously, a camera elevation display 16 and a camera vertical visual field display 20 are displayed in an elevation window 12. In a 3D image display window 46, a 3D image supposed to be photographed by the camera is displayed. COPYRIGHT: (C)2009,JPO&INPIT
Abstract:
PROBLEM TO BE SOLVED: To provide a novel moving image processor detecting a moving object in an moving image using a self-organizing map. SOLUTION: A composite video signal output from a camera 20 is converted into color image data by an input conversion part 50. The color image data is input to a feature extraction part 58 through an image dividing part 52 and a frame setting part 56. The feature extraction part 58 extracts n-dimensional features of the input color image data, and the extracted feature data is input to a control part 60. The control part 60 constitutes a block unit learning type self-organizing map together with a map 62, and identifies whether each pixel forms a moving object region or a background region by applying the feature data to the map 62. Based on the identified result, the control part 60 controls an output conversion part 70 to display only the moving object region on a monitor 40. COPYRIGHT: (C)2008,JPO&INPIT