Abstract: When a face is detected from image signals, stability determination time is set for determining if the face is recognized in a stable manner, and a period of time for which the face is consecutively detected starts to be measured. Until the measured period of time exceeds the stability determination time, an AF evaluation value acquired from a normal frame set to include a face frame corresponding to the face is used to exercise TV-AF control. Once the measured time exceeds the stability determination time, TV-AF control is exercised based on AF evaluation values acquired from each of the face frame and the normal frame.

Abstract: A precision motion platform carrying an imaging device under a large-field-coverage lens enables capture of high resolution imagery over the full field in an instantaneous telephoto mode and wide-angle coverage through temporal integration. The device permits automated tracking and scanning without movement of a camera body or lens. Coupled use of two or more devices enables automated range computation without the need for subsequent epipolar rectification. The imager motion enables sample integration for resolution enhancement. The control methods for imager positioning enable decreasing the blur caused by both the motion of the moving imager or the motion of an object's image that the imager is intended to capture.

Abstract: An image-processing method is an image-processing method for detecting motion between plural images, including a searching operation of searching for a local motion vector from each of blocks in the plural images on the basis of feature quantity of the plural images, and a calculating operation of calculating evaluation values of the local motion vector found, in which one of the evaluation values is accuracy of position adjustment which is obtained when the search source block of said local motion vector is position-adjusted on a trial basis by using the local motion vector in order to provide an image-processing method, an image-processing program, an image-processing apparatus, and an imaging apparatus which can properly evaluate local motion vectors which are found by searching blocks of images upon detecting motion of plural images.

Abstract: An image processing apparatus includes: a conversion section converting a moving object image being an image in a region corresponding to a moving object included in a reference image and other images constituting images generated under different exposure conditions. The image processing apparatus also includes a substitution section substituting the generated exposure level converted moving object image with a region corresponding to an exposure level converted moving object image of each of the other images corresponding to an exposure level as a reference exposure level at the time of generating the exposure level converted moving object image to generate a substitute image for each of the other images. A combination section combines the substitute image and the reference image to generate a combined image.

Abstract: An electronic camera includes an imager. An imager repeatedly outputs a scene image generated on an imaging surface capturing a scene. A searcher repeatedly executes a process of searching for a specific object image from the scene image outputted from the imager by using a plurality of reference-use specific object images each of which has a posture different from others. A detector detects the number of specific objects existing in the object scene based on a searched result of the searcher. A determiner repeatedly determines based on the searched result of the searcher whether or not all of the specific objects equivalent to the number detected by the detector satisfy a posture condition. A recorder records the scene image outputted from the imager when a determined result of the determiner is updated from a negative result to a positive result.

Abstract: When a displacement between a reference frame of a plurality of images acquired by continuous image pickup and a target frame is less than a first threshold indicating that such a frame is not likely to be affected by occlusion, smoothing is performed on an object area through a morphological operation with a normal process amount. Conversely, when a displacement between the reference frame of the plurality of images acquired by continuous image pickup and a target frame is larger than or equal to the first threshold, smoothing is performed with the process amount of morphological operation being increased than a normal process amount.

Abstract: An imaging apparatus includes an imaging unit, a closed-eye detection unit configured to detect a face from an image captured by the imaging unit and to detect whether the detected face has closed eyes, and a control unit configured to determine whether to issue a warning about a captured image to be recorded according to a detection result detected by the closed-eye detection unit for the captured image to be recorded and a detection result detected by the closed-eye detection unit for a preview image captured before the image to be recorded is captured.

Abstract: The present invention provides an image processing apparatus that includes a sightline detection unit that detects the line of sight of a subject directed toward an imaging device in a captured image captured by the imaging device and containing at least one subject and a sightline indicating unit that clearly indicates, in correspondence to each subject, whether or not the line of sight of the subject directed toward the imaging device has been detected based upon sightline detection results provided by the sightline detection unit.

Abstract: Provided is a digital photographing apparatus and method, and more particularly, provided is a self-timer photographing apparatus and method involving checking the number of persons using an image capturing device having a self-timer function. The self-timer photographing apparatus involving checking the number of persons as a digital image processing device, the apparatus includes a digital signal processing unit detecting a change in the number of faces of a live view image, detecting positions of faces of the live view image, and, when there is no change in the positions of faces during a predetermined period of time, controlling to perform self-timer photographing.

Abstract: A camera includes: an imaging unit that captures an image of a subject and obtains image data; a similarity level calculation unit that calculates a similarity level indicating a level of similarity of an image within a search frame to a template image in correspondence to each search frame position assumed as the search frame is shifted within a search target area set in each of frames input in time series from the imaging unit; a subject position determining unit that determines as a subject position a position assumed by the search frame, at which the similarity level is highest, in correspondence to each frame; a subject tracking unit that tracks the subject position from frame to frame; and a rangefinding unit that measures a distance (subject distance) from the camera to the subject, wherein: the similarity level calculation unit calculates the similarity level by factoring in rangefinding results.

Abstract: An image recognition device includes a detection unit which is configured to detect a first difference between at least a part of the first image information and the reference information, a second difference between at least a part of the second image information and the reference information, and a third difference between at least a part of the third image information and the reference information. A recognition unit is configured to make a first determination whether the first difference is within a predetermined range, and to make a second determination whether the second difference is within the predetermined range. A changing unit is configured to change the predetermined range based on the first and second determinations. The recognition unit is configured to recognize an area corresponding to the reference image in the third image information based on the third difference and the predetermined range which has been changed.

Abstract: A method of automatic tracking of a target is disclosed. This method includes a light spot detecting step of detecting a light spot from a target supported on a moving object, a step of taking a moving image of the target and the moving object, a step of target tracking based on the detection of the light spot, a step of performing image tracking based on the moving image in parallel to the target tracking, a step of comparing a position of the target obtained by the target tracking with a position of the image obtained by the image tracking, and a step of tracking the target based on a result of the target tracking in case where the target position and the image position are within a predetermined range.

Abstract: A wearable camera that is an imaging device includes a sensing unit that senses motion of a camera, and a prediction unit that calculates a pixel shift distance (d) between frames based on the results of the sensing. The prediction unit obtains a position (p1?) by moving a feature point (p1) extracted from the previous frame image by the pixel shift distance (d), and the setting unit sets a window (w4) having a position (p1?) as the center in the current frame image (Ft+1). A search unit searches the window (w4) and detects a feature point (q1) corresponding to the feature point (p1).

Abstract: The present invention discloses a video stabilizing method. The method may comprising the steps of: capturing a low-spatial-resolution image ILt by a first camera and a high-spatial-resolution image IHt by a second camera which is synchronous with the first camera for capturing an image of a moving target; determining a target region IL—tart including the moving target in the low-spatial-resolution image ILt , and obtaining an output image Ioutt of the high-spatial-resolution image IHt corresponding to the target region IL—tart; generating a registration model MLHt between the low-spatial-resolution image ILt and the high-spatial-resolution image IHt ; and inpainting the output image Ioutt based on the registration model MLHt and the high-spatial-resolution image IHt to complete the output image Ioutt. The present invention further discloses a video stabilizing system using a dual-camera system.

Abstract: An imaging device includes a first detection part which detects one or more subjects in an image captured by the image capturing part capturing an image continuously; a second detection part which follows the one or more subjects detected; and a system control part which includes a setting part setting a part of the image as a limited region, and causes, after the first detection part detects the one or more subjects in the captured image, the second detection part to follow and detect a subject in an image captured subsequently to the captured image, and causes the first detection part to detect a subject in the limited region.

Abstract: A motion detector camera includes a housing, viewing electronics mounted within the housing, an IR emitter exposed on a surface of the housing, a motion detector exposed on a surface of the housing, and a controller operatively coupled to the viewing electronics, the IR emitter, and the motion detector, wherein the controller is adapted to send an activation signal to the IR emitter and to the viewing electronics when the controller receives a triggering signal from the motion detector.

Abstract: An apparatus and method for creating a coordinated image display. A computer system comprising stored digital templates for said image display can be operated by a user to generate the image display. The templates each have a plurality of digital openings for displaying digital images and each of those openings has a required image attribute. The group of required attributes for the openings are stored as a template recipe. The template recipe includes a required image attribute for a dependent opening. The dependent opening is dependent on an image attribute of an image captured by a capture device coupled to the computer system, which includes scanners and cameras. The captured image can be of a paint swatch, a fabric, furniture, carpeting, or any other item or image.

Abstract: Methods, systems, and computer program products for associating an image with a communication characteristic are disclosed. According to one method, a content characteristic of a first image may be identified. Communication of the first image may be monitored to identify a communication characteristic of the first image. Further, the content characteristic may be associated with the communication characteristic. The association between the content and communication characteristics may be used to associate a second image having the content characteristic with the communication characteristic.

Abstract: Capturing a surface in motion picture, including: covering a surface with a pattern formed of a marking material; acquiring a sequence of image frames, each image frame of the sequence including a plurality of images of the pattern covering the surface; deriving a mesh object from the plurality of images for the each image frame; tracking the mesh object in each frame through the sequence of frames; and generating animation data modeling a characteristic of the surface using the tracked mesh object.

Abstract: An image recognition device includes a detection unit which is configured to detect a first difference between partial information of at least a part of the first image information and the reference information and to detect a second difference between partial information of at least a part of the second image information and the reference information. A recognition unit is configured to recognize a first area corresponding to the reference image in the first image information. A calculation unit is configured to calculate a determination value based on a reference area in the second image information corresponding to the first area by weighting the second difference. The recognition unit is configured to recognize a second area corresponding to the reference image in the second image information based on at least one of the second difference and the determination value.

Abstract: System and method for capturing visual perspectives of live activities at an entertainment venue with wireless in-play video cameras associated with user equipment for transmission to enterprise equipment for processing and broadcast to remote video monitors for display. Video recording can be from more than one entertainment venue or can be more than one wireless in-play video camera. Remote video monitors can be venue-based hand held devices or video monitors used at home. Remote video monitors can include hand held devices and high definition televisions (e.g., HDTVs) including flat panel display screens therein. A user can select from more than one view from video cameras that the user wants displayed on the remote viewer, enabling a user of the remote video monitor to view more than one camera view through the remote viewer at a time/simultaneously.

Abstract: Methods, systems, and computer program products for associating an image with a communication characteristic are disclosed. According to one method, a content characteristic of a first image is identified. A communication characteristic of a communication associated with the first image is identified. The content characteristic is associated with the communication characteristic. The content characteristic of the first image is identified in a second image. The communication characteristic is associated with the second image based on the association between the content characteristic and the communication characteristic.

Abstract: Described is a system and methods for embedding standard video-taking heuristics into video-recording devices to help improve the quality of captured video for consumer devices. The described approach uses a combination of audio, visual, and haptic feedback that responds to video as it is recorded. This feedback can help users compose better shots as well as help them develop an understanding of the fundamentals of good video-taking.

Abstract: An image processing apparatus and method in which auto-selecting of an object to be prioritized from among a plurality of detected objects is capable more appropriately. A characteristic detecting unit detects a previously set characteristic portion of an object from an image signal constituting a moving image. A control unit sets a priority to each characteristic portion when a plurality of the characteristic portions are detected by the characteristic detecting unit and also sets a high priority to a characteristic portion being detected for a long period of time.

Abstract: In an image processing apparatus that performs tracking processing based on a correlation between frame images, when an object that is a tracking target is missed and a frame indicating the tracking target is set to a uniform background during tracking processing, a display of the frame may blur. An image processing apparatus is provided which detects a tracking target candidate region which has a highest correlation with a set tracking target region, calculates a difference between an evaluation value acquired in the tracking target candidate region and an evaluation value acquired in a peripheral region of the tracking target candidate region, and stops tracking if the difference is less than a threshold value.

Abstract: An image pick-up apparatus that enables to appropriately set a holding time in which there is a possibility of returning to a state that allows tracking when a subject cannot be tracked temporarily during the subject tracking to improve the ease-of-use for a user. A specifying unit specifies a subject included in a captured image. A display unit displays the captured image on a screen and displays identification information showing that the specified subject is tracked. A tracking unit tracks the subject. A setting unit sets a holding time in which the display of the identification information is held according to at least one of a focal length of the image pick-up apparatus and a subject distance. An elimination unit eliminates a display of the identification information when the holding time has passed after the tracking unit lost the subject.

Abstract: In order to appropriately detect abnormalities for the purpose of surveillance with it being possible to prevent an unnecessary increase in data amount of the monitoring images, a monitoring system includes an image capturing section that captures a moving image of a monitored area, a variation reduced image generating section that generates a variation reduced image by reducing a temporal variation in an image, based on a plurality of moving-image making-up images included in the moving image captured by the image capturing section, a condition storing section that stores thereon a condition which is required to be satisfied by a variation reduced image which is generated by using a plurality of moving-image making-up images included in a moving image which is judged to show an abnormality, a satisfaction judging section that judges whether the variation reduced image generated by the variation reduced image generating section satisfies the condition, an output moving image generating section that, when the

Abstract: An image processing device includes a storage unit, a face detection unit, a face discrimination unit, and a control unit. The storage unit is provided for storing a content management file that stores a file entry for managing contents and a particular face entry for managing a particular face. Each of the file entry and the particular face entry is a hierarchical entry with a hierarchical structure. The face detection unit is provided for detecting a face contained in the contents. The face discrimination unit is provided for determining whether the detected face is the particular face by comparing the particular face with the detected face. The control unit is provided for performing control of correlating the particular face entry with the file entry when the detected face is identified as the particular face.

Abstract: Pattern data for specifying a face image of a person is registered in a pattern data storage unit 32 of a tracking device 16. When a face recognition auto-tracking mode is selected, a face image coinciding with the registered pattern data is detected, and an AF area is set to track the face image.

Abstract: A tracking processing unit (137) performs a search in a frame using a color feature amount of an object and determines a target area estimated to include the image of the object based on the first evaluation value indicating a degree of matching between a search result and the object. An update detection circuit (139) performs a search in the frame using a shape feature amount of the object, calculates a second evaluation value, and determines an update area for updating a first feature amount based on the second evaluation value indicating a degree of matching between the search result and the object. An update determination circuit (140) determines whether or not to update the first feature amount. A tracking result drawing circuit (144) draws an outer frame of the target area when determined not to update, and draws that of the update area when determined to update.

Abstract: A surveillance system and method for rapid set up and activating communication between at least one wireless input capture device ICD(s) and a corresponding digital input recorder (DIR) and/or another ICD, including the steps of providing base system; at least one user accessing the DIR via user interface either directly or remotely; the DIR and/or ICD searching for signal from the ICD(s) and establishing communication with them, thereby providing a secure surveillance system having wireless communication for monitoring a target environment.

Abstract: An imaging apparatus has an optical system that forms an optical image of a subject field and can vary a magnification of the optical image; an imaging section that converts the optical image formed by the optical system, into an electrical image signal; a display section that displays an image taken by the imaging section; a subject detecting section that detects a main subject in the image taken by the imaging section; a framing controlling section that controls framing based on information about a position of the main subject detected in the subject detecting section; a controlling section that selectively executes one of a first framing support mode that presents on the display section a display that supports the framing based on the information about the position of the main subject detected in the subject detecting section, and a second framing support mode that operates the framing controlling section based on the information about the position of the main subject detected in the subject detecting sect

Abstract: A digital single-lens reflex camera is configured for making it possible to reduce deterioration in image quality due to a camera shake or an object movement and to easily pick up an image with a good image quality. In a digital single-lens reflex camera (1), when an object speed is detected on the basis of a detected object movement, a body microprocessor (12) judges if the object speed is equal to a threshold value (A) or more and, if it is smaller than the threshold value (A), controls a conversion lens camera shake correcting device (82) in a conversion lens (2) or a camera body shake correcting device (75) in a camera body (3) to carry out the camera shake correction.

Abstract: An image capturing apparatus chooses a main face from among faces detected in successively captured images based on a degree of priority calculated for each detected face. Moreover, the image capturing apparatus compares the degree of priority assigned to the face corresponding to a last chosen main face and the degrees of priority assigned to the faces corresponding to faces other than the main face, and then counts the number of times the degrees of priority assigned to the faces corresponding to faces other than the main face exceed the degree of priority assigned to the face corresponding to the main face. When one of the number of times counted for the faces other than the main face exceeds a preset threshold value, the image capturing apparatus performs a main face changeover to the one of the faces.

Abstract: In an image taking apparatus, an imaging unit senses an image of a subject, and a face detection unit detects a face in the image sensed by the imaging unit. A motion detection unit detects an amount of face motion indicating an amount of shake of an area of the face detected by the face detection unit in the image sensed by the imaging unit and also detects an amount of background motion indicating an amount of shake of an area other than the face area. A shake correction unit corrects the shake of the image sensed by the imaging unit according to the amount of face motion and the amount of background motion detected by the motion detection unit.

Abstract: An image processing apparatus in which auto-selecting of an object to be prioritized from among a plurality of detected objects is capable more appropriately. A characteristic detecting unit detects a previously set characteristic portion of an object from an image signal constituting a moving image. A control unit sets a priority to each characteristic portion when a plurality of the characteristic portions are detected by the characteristic detecting unit and also sets a high priority to a characteristic portion being detected for a long period of time.

Abstract: An on-vehicle camera calibration apparatus includes: an on-vehicle camera; a camera parameter calculation unit configured to calculate camera parameters from a characteristic amount of a road surface sign photographed by the on-vehicle camera and recognized by an image processing and to output the camera parameters, wherein the camera parameters include an installation height and installation angle of the on-vehicle camera in photographing; and a camera parameter calibration unit configured to perform optical axis calibration control of the on-vehicle camera by the camera parameters output from the camera parameter calculation unit.

Abstract: The invention discloses a method for moving targets tracking and number counting, comprising the steps of: a). acquiring continuously the video images comprising moving targets; b). acquiring the video image of a current frame, and pre-processing the video image of the current frame; c). segmenting the target region of the processed image, and extracting the target region; d). matching the target region of the current frame obtained in step c) with that of the previous frame based on an online feature selection to establish a match tracking link; and e). determining the number of the targets corresponding to each match tracking link based on the target region tracks recorded by the match tracking link.

Abstract: Methods and systems for capturing an image of a moving subject employ a camera image sensor that captures a blurred image of a moving subject. In-capture positions of the moving object are also determined using a high frame rate camera or other motion sensing device. The PSF for controlling modulation of the light hitting the camera image is successively updated by selecting, from among a plurality of pre-computed invertible PSFs, a pre-computed invertible PSFs for each estimated motion of the moving object. Light hitting the camera image sensor is modulated in capture phase according to one or more of the updated pre-computed invertible PSFs such that the captured blurred image is invertible. The resulting invertible blurred image can be de-blurred using the selected known PSFs to provide a substantially sharp image.

Abstract: It is an object of the present invention to provide an imaging apparatus and an imaging method which enable various functions using face detection to be individually controlled in accordance with scene recognition results and which achieve more favorable imaging and image processing. To achieve the object, in an aspect of the present invention, information on a photographic scene is acquired to recognize the scene and to detect whether or not a face exists in the photographic scene, and various controls are performed based on the scene recognition result and the face detection result. That is, when performing various controls using face detection such as face frame display, face AE, face AF, face AWB, face tonal correction, and the like, it is now possible to individually control how such controls are to be performed based on a scene recognition result and achieve more favorable imaging and image processing in accordance with the scenes.

Abstract: A photography mode selecting section allows a photographer to select continuous photographing. An imaging section captures an image of a subject. An area setting section detects a photographic subject based on a photographic image captured by the imaging section for every photographing in the continuous photographing, and sets the size and position of a photographic subject area including the detected photographic subject, when the continuous photographing is selected by the photography mode selecting section. A memory section stores an image inside the photographic subject area as a photographic subject image. Consequently, in continuous photographing of a moving body, the size of the photographic subject area for every photographing in the continuous photographing can be changed according to change in the size of the image of the moving body with respect to an image screen of the imaging section, thereby preventing wasteful usage of a memory area of the memory section.

Abstract: In a digital camera 1, a storing means stores feature quantities of a subject area in an image, and a search point setting means sets a plurality of search points in the subject area. Next, an updating means updates coordinates of the set plurality of search points using random numbers. Then, a weight setting means compares feature quantities of the updated search points with the stored feature quantities, and sets a weight for each search point based on similarity. Next, a sorting means sorts the search points depend on those weight, and a variance acquiring means calculates the variance of the sorted search points. Then, an angle-of-view adjusting means determines the amount of adjustment for the angle-of-view based on the calculated variance.

Abstract: A device for utilizing camera motion detection for a camera input interface includes a feature extractor, a feature tracker and a capture module. The feature extractor is configured to determine at least one obvious feature in an image frame. The feature tracker is in communication with the feature extractor. The feature tracker is configured to determine an amount of movement of the at least one obvious feature in a subsequent image frame and compare the amount of movement to a threshold. The capture module is in communication with the feature tracker. The capture module is configured to capture an image in response to the comparison of the amount of movement to the threshold.

Abstract: A composition determining apparatus includes a subject detecting unit configured to detect existence of one or more specific subjects in an image based on image data; and a composition determining unit configured to determine a composition in accordance with the number of subjects detected by the subject detecting unit.

Abstract: An imaging apparatus capable of assisting such shooting that a designated subject is accommodated in a predetermined reference range without user's continuing gazing at a display screen. Imaging apparatus 100 has: imaging optical system 310 that forms an optical image of a subject; solid-state image sensor 330 that converts the optical image into an electrical signal; video signal processing section 350 that carries out a predetermined processing for the electrical signal and generates image data; tracking processing section 390 that decides whether or not the designated subject is in a predetermined range within a trackable range, using the image data generated in video signal processing section 350; and reporting section 410 that reports a decision result in tracking processing section 390 by means of light.

Abstract: An image tracking apparatus includes: an imaging device that generates image information by capturing an image formed through an image forming optical system; a setting unit that sets, based upon the image information, first reference image information that includes image information corresponding to a part of an image to be designated as a target in the image information and also sets second reference image information based upon information related to an image assuming a position close to an image corresponding to the first reference image information; and a recognition unit that recognizes the target based upon the first reference image information and the second reference image information.

Abstract: A computer executes performing template matching upon each frame of an input image with each of a plurality of template images, extracting a plurality of regions whose similarities with each of the template images are the highest from within the input image, classifying the extracted regions into regions that are to be used for specifying a photographic subject position within the input image and another region, on the basis of the mutual distances between the extracted regions within the input image, specifying the photographic subject position, on the basis of the positions of the regions that have been classified as the regions that are to be used for specifying the photographic subject position within the input image, and tracking the movement of the photographic subject over the image consisting of a plurality of frames, by tracking the photographic subject position between frames.

Abstract: A method for capturing a sequence of video images, using an imager including an estimation of the parameters of a model of global motion between successive images. The method may include measurement of local motions on edges of the images, with the estimation of the parameters of the global motion model performed using the result of the measurement of local motions on the edges of the images.

Abstract: An image capture device according to the present invention includes: an image capturing section for capturing a subject's image and generating image data, thereby outputting a moving picture; a first area shifting section for shifting a first area, which is associated with a first kind of feature information that represents a first feature in the image data, based on a result of search for the first kind of feature information through the image data; and a second area shifting section for shifting, independently of the first area, a second area, which is associated with a second kind of feature information that represents a second feature in the image data, based on a result of search for the second kind of feature information through the image data. If unable to detect the second kind of feature information, the second area shifting section shifts the second area with respect to the location of the first area.

Abstract: An image processing apparatus comprising: a block selector that selects one of blocks that contain an amount of features, larger than a predetermined amount of features, from among a plurality of blocks which compose a particular one of a plurality of frames of a moving image of a subject; a motion calculator that calculates a motion vector of each of blocks of a second particular one of the plurality of frames next to the first-mentioned particular frame and corresponding to a respective one of the selected blocks; a displacement calculator that calculates a displacement of the second particular frame based on the calculated motion vectors; and an image shake corrector that corrects an image shake in the moving image based on the calculated displacement.