Abstract: A system detects a candidate for an object which intrudes based on images of a visible light camera and a far-infrared camera that monitor the sea, further derives a size, a velocity, an intrusion direction, and linearity, and identifies the object to some extent. Also, the system distinguishes between a boat, a human, and a floating matter based on the luminances or the like in a far-infrared image. In addition, the system observes the periodicity of normal waves on the sea surface at a location without any object by performing the Fourier transform on the image. The accuracy of identification of an object is improved based on the correlation between the motion of waves in a normal state and the motion of the object.

Abstract: A system detects a candidate for an object which intrudes based on images of a visible light camera and a far-infrared camera that monitor the sea, further derives a size, a velocity, an intrusion direction, and linearity, and identifies the object to some extent. Also, the system distinguishes between a boat, a human, and a floating matter based on the luminances or the like in a far-infrared image. In addition, the system observes the periodicity of normal waves on the sea surface at a location without any object by performing the Fourier transform on the image. The accuracy of identification of an object is improved based on the correlation between the motion of waves in a normal state and the motion of the object.

Abstract: An image display apparatus for converting an image into a virtual viewpoint image so that the image of an object is not distorted.

Abstract: A technique is proposed for enabling stable detection of an object even when the contrast of an image is lowered overall or partially. A preprocessing section 12 is added to the upstream stage of an object detecting processing section 13, and provides an obtained corrected image (image obtained by subjecting an input image to contrast enhancement) as an input image for the object detecting processing section 13. This facilitates the detection of the object even when the contrast of the entire screen is lowered due to fog or rain. Furthermore, the object detecting processing section 13 detects the object by using not only the corrected image from the preprocessing section 12 but also correction characteristic information 23 containing image characteristics regarding the correction (contrast enhancement). This attempts to reduce an influence of noises enhanced by the contrast enhancement.

Abstract: An image display apparatus for converting an image into a virtual viewpoint image so that the image of an object is not distorted.

Abstract: A technique is proposed for enabling stable detection of an object even when the contrast of an image is lowered overall or partially. A preprocessing section 12 is added to the upstream stage of an object detecting processing section 13, and provides an obtained corrected image (image obtained by subjecting an input image to contrast enhancement) as an input image for the object detecting processing section 13. This facilitates the detection of the object even when the contrast of the entire screen is lowered due to fog or rain. Furthermore, the object detecting processing section 13 detects the object by using not only the corrected image from the preprocessing section 12 but also correction characteristic information 23 containing image characteristics regarding the correction (contrast enhancement). This attempts to reduce an influence of noises enhanced by the contrast enhancement.

Abstract: In a monitoring apparatus for monitoring an object which intrudes into a monitoring subject area by using an image pickup device, it is demanded to adjust parameters according to conditions such as the monitoring purpose and the surrounding environment in order to execute suitable monitoring. To this end, in the monitoring apparatus, parameters corresponding to monitoring conditions are subject to grouping. Suitable values of parameters in each group obtained by the grouping are previously determined according to a degree of a monitoring condition. A monitoring condition and its degree are selected by using an ordering device having user interface components such as push buttons mounted thereon. It is made possible to instantaneously alter parameters belonging to a group corresponding to the monitoring condition all at once at this time. Parameter adjustment free from troublesomeness and skill is thus implemented.

Abstract: A detection system that uses a plurality of input devices with different sensitive wavelengths as image and signal acquisition devices for detecting an intruding object and which performs coordinated processing on at least two or more pieces of information to avoid issuing false alarms during an intruding object detection. Based on the position or size of an object detected by processing an input from one of the input devices, an area range in which to process an input from other input devices is defined. According to one or more of processing results, a check is made as to the presence or absence of an intruding object.

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, minimum width and height and maximum width and height of an object to be detected are calculated on the basis of photographing conditions, an object detection range and a size of the object to be detected and an image reduction coefficient is set on the basis of the calculated minimum width and height and maximum width and heights whereby detection can be achieved while keeping the detection accuracy of image processing intact and an intruding person can be detected at a high speed at a necessarily lowest processing speed.

Abstract: An intruding object detection system including a first drive unit for moving an image pickup unit in a pan direction, a second drive unit for moving the pickup unit in a tilt direction, a third drive unit for moving the pickup unit to zoom in and out, and a control unit for detecting an image of a target object in a video signal supplied from the pickup unit, and controlling the first and second drive units to move the pickup unit in the pan and tilt directions to place the image of the target object to a center of a video screen in accordance with movement and change of the target object, and cause the third drive unit to zoom in or out so that the image of the target object is permitted to be maintained at a predetermined size.

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 a monitoring apparatus for monitoring an object which intrudes into a monitoring subject area by using an image pickup device, it is demanded to adjust parameters according to conditions such as the monitoring purpose and the surrounding environment in order to execute suitable monitoring. To this end, in the monitoring apparatus, parameters corresponding to monitoring conditions are subject to grouping. Suitable values of parameters in each group obtained by the grouping are previously determined according to a degree of a monitoring condition. A monitoring condition and its degree are selected by using an ordering device having user interface components such as push buttons mounted thereon. It is made possible to instantaneously alter parameters belonging to a group corresponding to the monitoring condition all at once at this time. Parameter adjustment free from troublesomeness and skill is thus implemented.

Abstract: A detection system that uses a plurality of input devices with different sensitive wavelengths as image and signal acquisition devices for detecting an intruding object and which performs coordinated processing on at least two or more pieces of information to avoid issuing false alarms during an intruding object detection. Based on the position or size of an object detected by processing an input from one of the input devices, an area range in which to process an input from other input devices is defined. According to one or more of processing results, a check is made as to the presence or absence of an intruding object.

Abstract: An object tracking apparatus consisting of an imaging device, a signal processor for processing a video signal generated by the imaging device, and a display for displaying the result of processing performed by the signal processor. An intruding object is detected within a field under monitoring based on a video signal captured by the imaging device, and the imaging device is controlled in response to motions of the intruding object to track the object. The position of a visual field range of the imaging device is calculated, and panning and tilting of the imaging device and an imaging lens are controlled such that the calculated position of the visual field range of the imaging device does not include an imaging prohibited region positioned within the field under monitoring.

Abstract: In an image processing apparatus, minimum width and height and maximum width and height of an object to be detected are calculated on the basis of photographing conditions, an object detection range and a size of the object to be detected and an image reduction coefficient is set on the basis of the calculated minimum width and height and maximum width and heights whereby detection can be achieved while keeping the detection accuracy of image processing intact and an intruding person can be detected at a high speed at a necessarily lowest processing speed.

Abstract: An intruding object detecting method and an intruding object monitoring apparatus for detecting a target object intruding into an image pickup region while reducing the error detection of moving objects other than the target object. A difference in pixel value between an input image signal and each of different image signals in a predetermined number of frames greater than one is calculated for each pixel to thereby obtain differential images in the predetermined number of frames. The differential images in the predetermined number of frames are synthesized in predetermined proportions to thereby generate a synthesized differential image. The synthesized differential image is binarized on the basis of a predetermined threshold value to thereby generate a binarized image. A binarized object in the binarized image is detected as an object intruding into a monitoring visual field.

Abstract: An object tracking apparatus consisting of an imaging device, a signal processor for processing a video signal generated by the imaging device, and a display for displaying the result of processing performed by the signal processor. An intruding object is detected within a field under monitoring based on a video signal captured by the imaging device, and the imaging device is controlled in response to motions of the intruding object to track the object. The position of a visual field range of the imaging device is calculated, and panning and tilting of the imaging device and an imaging lens are controlled such that the calculated position of the visual field range of the imaging device does not include an imaging prohibited region positioned within the field under monitoring.

Abstract: A method for the treatment or prophylaxis of diseases treatable or preventable by potentiating the effect of a neurotrophin by administering a therapeutically effective amount of a 6(5H)-phenanthridinone derivative represented by the formula (I): 1

Abstract: An intruding object detecting method and an intruding object monitoring apparatus for detecting a target object intruding into an image pickup region while reducing the error detection of moving objects other than the target object. A difference in pixel value between an input image signal and each of different image signals in a predetermined number of frames greater than one is calculated for each pixel to thereby obtain differential images in the predetermined number of frames. The differential images in the predetermined number of frames are synthesized in predetermined proportions to thereby generate a synthesized differential image. The synthesized differential image is binarized on the basis of a predetermined threshold value to thereby generate a binarized image. A binarized object in the binarized image is detected as an object intruding into a monitoring visual field.