Abstract: A tracking system for tracking objects within a field of view is disclosed. The field of view may include a first zone and an adjacent zone of interest where at least two gates are associated with respective sides of the first zone within the field of view. The first camera is configured to detect when an object crosses one of the at least two gates and track the object throughout the first zone and the zone of interest. The tracking system is configured to generate a first event message in response to the object being tracked from one of the gates into the zone of interest and subsequently leaving the first zone through a dedicated gate of the at least two gates.

Abstract: The presentation of an interactive video is dynamically modified based on a user profile. A first interactive video can be represented by a first video tree defining multiple branches in the first interactive video, with each branch having one or more video segments. Information is tracked including (i) the content of video segments played during presentation of the first interactive video and/or (ii) decisions of a user made during the presentation of the first interactive video. A user profile having measured attributes is generated based on the tracked information. The profile can then be used in dynamically modifying the presentation of a second interactive video.

Abstract: Methods and apparatus for selecting, purchasing and delivering content to users of a network so that the user has “virtual” ownership of and access to the content, thereby obviating the need for physical media (e.g., DVDs or CDs). In an exemplary embodiment, the network comprises a hybrid fiber coax (HFC) network, and on-demand (OD) sessions or broadcast modes are used to deliver the virtual content stored at the head-end (or hub site) to the requesting owner. The purchased content is associated with one or more users when stored, thereby providing the owner(s) unlimited access thereto, without the costs and effort associated with renting/purchasing and maintaining DVDs. The content may also comprise new release content, which would otherwise not be available over the network at that time but for the purchase and delivery mechanisms of the invention. Various other complementary features for enhancing the user's virtual ownership experience are also disclosed.

Abstract: There are provided a comparison device and a comparison method including determining whether or not a comparison target person is a subject of a registered face image by comparing an imaged face image to the registered face image, determining whether or not a blocking object is provided in the imaged face image, determining whether or not removing the blocking object is required, by calculating a partial similarity score between the imaged face image and the registered face image in a partial area corresponding to the blocking object, and urging the blocking object to be detached based on the partial similarity score.

Abstract: Embodiments of the present invention may be directed toward a method, a system, and a computer program product of adaptive calibration of sensors through cognitive learning. In an exemplary embodiment, the method, the system, and the computer program product include (1) in response to receiving a data from at least one calibration sensor and data from an itinerant sensor, comparing the data from the at least one calibration sensor and the data from the itinerant sensor, (2) in response to the comparing, determining, by one or more processors, the accuracy of the itinerant sensor, (3) generating, by the one or more processors, one or more calibration parameters based on the determining and based on a machine learning associated with preexisting sensor information, and (4) executing, by the one or more processors, the one or more calibration parameters.

Abstract: A video providing server that provides a time slice video includes a receiving unit that receives a first time slice video that is generated from images captured by multiple cameras having a focus on a first object; an input unit that receives, from a user device, a selection of a second object among multiple objects displayed in the first time slice video; a feature point extraction unit that extracts feature points of the selected second object; a generation unit that generates a second time slice video having a focus on the second object based on the extracted feature points of the second object; and a transmitting unit that transmits, to the user device, the second time slice video having the focus on the second object.

Abstract: The present disclosure provides a system that includes a camera, a shadow device that mimics, copies, or duplicates the properties of the camera, and a controller. The controller can be located in the same vicinity as the shadow device, where the camera is in a remote location. An operator can receive feedback that mimics what they would be experiencing if they were operating the camera directly. The controller then manipulates the remote camera based on the input from the operator. The system of the present disclosure allows for a camera operator to be in a remote location, and it still provides accurate, real-time feedback to the operator. Unlike current systems, the present system provides instantaneous or near-instantaneous feedback for cameras in remote locations.

Abstract: A computer-implemented method includes: determining, based on a video of a target area, a first number of target objects in the video at each of multiple time points, and a first location of each of the first number of target objects at the corresponding time points; receiving position signals of the corresponding target objects in the target area at each of the multiple time points; determining, based on the position signals, a second number of target objects at each of the multiple time points and a second location of each of the second number of target objects at the corresponding time points; determining that, at each of the multiple time points, the first number equals the second number; determining that, at each of the multiple time points, the first location of each target object matches the second location of the target object; and determining that the video is unmodified.

Abstract: A method for playing a movie asset in several playback devices. The method receives a request to play a movie asset and synchronizes clocks between a first device and a second device, which is a portable device. The method signals a start of the playback of the asset through the first and second playback devices, where playback on the second device is synchronized with playback on the first device. The method wirelessly transmits an alert message that identifies the asset through the first and second devices and includes a description of an upcoming or future segment of the asset, where a first version of the segment is played back through the first device. In response to receiving the alert message, the second device becomes configured to select a second version of the segment in accordance with i) user settings of the portable device and ii) the description of the segment.

Abstract: A method for playing a movie asset in several playback devices. The method receives a request to play a movie asset and synchronizes clocks between a first device and a second device, which is a portable device. The method signals a start of the playback of the asset through the first and second playback devices, where playback on the second device is synchronized with playback on the first device. The method wirelessly transmits an alert message that identifies the asset through the first and second devices and includes a description of an upcoming or future segment of the asset, where a first version of the segment is played back through the first device. In response to receiving the alert message, the second device becomes configured to select a second version of the segment in accordance with i) user settings of the portable device and ii) the description of the segment.

Abstract: Disclosed is an electronic gimbal with camera and mounting configuration. The gimbal can include an inertial measurement unit which can sense the orientation of the camera and three electronic motors which can manipulate the orientation of the camera. The gimbal can be removably coupled to a variety of mount platforms, such as an aerial vehicle, a handheld grip, or a rotating platform. Moreover, a camera can be removably coupled to the gimbal and can be held in a removable camera frame. Also disclosed is a system for allowing the platform, to which the gimbal is mounted, to control settings of the camera or to trigger actions on the camera, such as taking a picture, or initiating the recording of a video. The gimbal can also provide a connection between the camera and the mount platform, such that the mount platform receives images and video content from the camera.

Abstract: To reduce power consumed when the display magnification of an image is changed. A digital camera includes a display unit having a first display region in which a first image is displayed and a second display region in which a second image is displayed, an image capture unit having a first image capture region in which first image data indicating the first image is generated and a second image capture region in which second image data indicating the second image is generated, magnification change units that change the display magnifications of the first and second images displayed on the display unit, and an image capture control unit that when the magnification change units change the display magnifications, changes the charge accumulation conditions or reading conditions of the first and second image capture regions.

Abstract: A system of injecting a code section to a code edited by a graphical user interface (GUI) of an integrated development environment (IDE), comprising: a memory storing a dataset associating each code segment with one hand pose feature or hand motion feature; an imager adapted to capture images of a hand while an IDE being executed on a client terminal; and processor for executing code of an application, comprising: code instructions to identify at least one of the features and at least one discrete value of the identified features from an analysis of the images; code instructions to select at least one of the code segments associated with the identified features; and code instructions to add automatically a code section generated based on the code segments and the discrete value to a code presented by a code editor of the IDE.

Abstract: An image processing device includes: an extractor configured to extract a region of interest which includes a point of interest and satisfies a specified condition in a first image frame; a divider configured to divide the region of interest into a first subregion including the point of interest and a second subregion not including the point of interest at a narrow portion of the region of interest; and a specifying unit configured to specify a specified pixel in the first subregion as a point of interest of a second image frame.

Abstract: The present disclosure discloses methods and systems for an interactive event experience capable of synchronizing two or more physical venues, with live events happening at one or more venues. In some embodiments, a system may synchronize the live event experience by equalizing remote participants with local ones, and remote shared screens with local ones. In some embodiments, attention management may be provided to local and remote participants. In some embodiments, a cloud-based broadcasting system may be provided at a local venue and/or remote venues.

Abstract: Methods for automatically buffering and displaying video feeds associated with a live event are described. The video feeds displayed on the mobile device may comprise live video feeds or replays associated with the live event. A replay may comprise a playback of one or more buffered video feeds in a particular sequence and at a particular playback rate. The particular sequence may be determined based on the viewing behavior of the end user of the mobile device and/or the viewing behaviors of one or more other end users using other mobile devices at the live event. In some cases, the replay may comprise a shared replay in which a group of end users attending the live event may interact with each other while sharing a common replay.

Abstract: A laser driving circuit, a laser driving method, and a device using laser light that can reduce speckle noise caused by laser light as coherent light are provided. In the laser driving circuit that generates laser driving current for driving a plurality of laser light sources emitting laser light of different wavelengths on the basis of an input video signal, a high-frequency signal of a frequency exceeding the band of the video signal is superimposed on the laser driving current generated on the basis of the input video signal, whereby speckle noise caused by the laser light as coherent light is reduced.

Abstract: Imaging systems and methods optimize illumination of objects for purposes of detection, recognition and/or tracking by tailoring the illumination to the position of the object within the detection space. For example, feedback from a tracking system may be used to control and aim the lighting elements so that the illumination can be reduced or increased depending on the need.

Abstract: Embodiments provide techniques for facilitating transmission of a video stream from a first video conferencing device to a remote video conferencing device. Embodiments receive, by the first video conferencing endpoint device, first video data captured from a first field of view of a physical environment. The video data includes a plurality of frames. Activity data is determined for portions of the first video data across the plurality of frames. Embodiments generate, by a first video conferencing endpoint device, second video data from a second field of view of the physical environment, based on the determined activity data. Additionally, embodiments facilitate the transmission of the video stream to the remote video conferencing device for display, the video stream comprising the generated second video data and audio data captured within the physical environment.

Abstract: Methods and apparatus to create and display screen stereoscopic and panoramic images are disclosed. Methods and apparatus are provided to generate multiple images that are combined into a stereoscopic or a panoramic image. A controller provides correct camera settings for different conditions. A controller rotationally aligns images of lens/sensor units that are rotationally misaligned. A compact controllable platform holds and rotates a camera. A remote computing device with a camera and a digital compass tracks an object causing the camera in the platform to track the object.

Abstract: A temporal smoothing apparatus and method for synthesizing an intermediate image, the apparatus including a disparity vector estimator which receives a previous image and a present images and generates a previous disparity vector and a present disparity vector for every image block of a predetermined size, and a temporal smoothing unit which receives the previous and present images and the previous and present disparity vectors and generates a temporally-smoothed disparity vector. The temporal smoothing unit generates a distinct temporally-smoothed disparity vector for each frame on the basis of a mean absolute difference (MAD) between the previous image and the present image, so that a flickering phenomenon of an intermediate image can be removed without deterioration of image quality by adaptively performing a temporal smoothing process in accordance with types of an image.

Abstract: A method and system for video stream personalization. A personalization policy may be accessed. The personalization policy may include an image identification and an image alteration to a video image identified by the image identification. At least one instance of the video image may be identified in a video stream. An output stream may be produced from the video stream in response to the personalization policy. The output stream may include the image alteration to the video image.

Abstract: A method for automatically detecting and tracking multiple targets in a multi-camera surveillance zone and system thereof. In each camera view of the system only a simple object detection algorithm is needed. The detection results from multiple cameras are fused into a posterior distribution, named TDP, based on the Bayesian rule. This TDP distribution represents a likelihood of presence of some moving targets on the ground plane. To properly handle the tracking of multiple moving targets with time, a sample-based framework which combines Markov Chain Monte Carlo (MCMC), Sequential Monte Carlo (SMC), and Mean-Shift Clustering, is provided. The detection and tracking accuracy is evaluated by both synthesized videos and real videos. The experimental results show that this method and system can accurately track a varying number of targets.

Abstract: A detection area is decided in a case where a target has gone out-of-frame. If a target is being imaged by a camera continuously, it is determined whether the target has gone out-of-frame. If the target has gone out-of-frame, then the magnitude and direction of motion of the camera are detected. If camera motion is large, it can be concluded that the camera user is imaging the target while tracking it. Accordingly, it can be concluded that the target will again be imaged at the center of the imaging zone. An area defined as a region in which the target will be detected is set at the center of the imaging zone. If camera motion is small in a case where the target goes out-of-frame, it can be concluded that the user is waiting for the target to re-enter the imaging zone and therefore the edge of the imaging zone is set as the detection area.

Abstract: One image processing method has at least the following steps: receiving an image input in a device, wherein the image input is composed of at least one source image; receiving image selection information; regarding a source image included in the image input, checking the image selection information to determine whether the source image is selected or skipped; and performing an object oriented image processing operation upon each selected source image. Another image processing method has at least the following steps: receiving an image input in a device, wherein the image input is composed of at least one source image; receiving algorithm selection information; and regarding a source image included in the image input, checking the algorithm selection information to determine a selected image processing algorithm from a plurality of different image processing algorithms, and performing an image processing operation upon the source image based on the selected image processing algorithm.

Abstract: An image processing apparatus includes: an object state detector detecting a state of an object in input images inputted in time series; an image-capturing controller controlling image-capturing of the input images in accordance with the detected state of an object; and an image combiner combining pixel values at corresponding pixel positions of the input images, and outputting the pixel values as an output image, the input images being subjected to image-capturing control by the image-capturing controller.

Abstract: Determination whether a moving object appearing in input video is an object tracked and captured by a cameraman is enabled. It is determined that a moving object is a subject image to which a cameraman pays attention based on a time difference between time when a movement state determined by a motion vector of the moving object changes and time when a shooting state determined by a motion vector of a camera motion changes.

Abstract: A video surveillance system includes at least one of a camera or a streamer. A data base server is coupled to the camera and can store metadata for a video clip from the camera or streamer. A media storage server is coupled to both the camera or, the streamer, and to the data base server to store the clip in the absence of any network video recorders.

Abstract: Segments of interest within video footage are identified automatically. Such segments of interest include portions of the footage which were taken using a hand held camera and which show a static subject, portions which track the motion of a moving subject, and portions which show an abrupt event. Methods are presented for identifying such segments, based on motion and/or colour analysis of the video footage or based on observations of discontinuities in the video footage following a period of stability.

Abstract: Time-lapsing mirror methods and related systems.

Abstract: A general moving image includes a plurality of objects in a frame image. At the time of playback, the temporal visual characteristic is taken into consideration uniformly in the overall frame image. It is therefore impossible to perform playback while particularly considering an object of interest. In this invention, when playing back a moving image including a plurality of time-divided frame images, the object adaptation time of each object image is acquired first in the frame image of interest of the plurality of frame images. An adaptation weight is calculated based on the acquired object adaptation time, and a low-pass image reflecting the adaptation weight is generated for each object image. Color adaptation conversion using the low-pass image makes it possible to perform, for the frame image of interest, color conversion based on the adaptation time of each object image and perform color conversion particularly considering an object of interest.

Abstract: A driving recorder system and a coordinate positioning method thereof. The system comprises a curved image lens, an operation module, a processing module, a display module and a storage module. The curved image lens captures the curved image of the surrounding areas thereof. The operation module restores the curved image into a restored image. The processing module receives the restored image and adds time data to the restored image. The display module displays the restored image and the time data. The storage module stores the restored image and the time data.

Abstract: An end user is provided with an environment to easily remote-control a video camera via a general network such as the Internet. For this purpose, on a client side, the content of camera control is described in file-transfer protocol description, and the description is transferred to a camera server on the Internet via a browser. The camera server interprets the description, controls a camera in accordance with the designated content, to perform image sensing, and returns the obtained video image as the content of a file to the client. The client performs various controls while observing the video image. When a desired angle has been found, the client instructs to register the angle in a bookmark, then angle information displayed at that time is registered. Thereafter, when the user of the client can see the video image obtained on the same image-sensing conditions by merely select-designating the angle information registered in the bookmark.

Abstract: Methods and systems for beam forming an audio signal based on a location of an object relative to the listening device, the location being determined from positional data deduced from an optical image including the object. In an embodiment, an object's position is tracked based on video images of the object and the audio signal received from a microphone array located at a fixed position is filtered based on the tracked object position. Beam forming techniques may be applied to emphasize portions of an audio signal associated with sources near the object.

Abstract: An imaging device includes: an area setting unit which sets a first area and a second area other than the first area on the captured image acquired by an imaging unit; a main subject setting unit which sets a main subject based on the captured image acquired by the imaging unit or another image; a subject tracking unit which periodically detects the position of the main subject on the captured image acquired by the imaging unit; and a control unit which performs control depending on a detection result of the subject tracking unit so that an announcement unit announces that the main subject exists only in the first area when the main subject does not exist in the second area, and the announcement unit announces that the main subject does not exist only in the first area when the main subject exists in the second area.

Abstract: A computer system generates video based cohorts. Digital video data is processed to identify a set of color and texture based attributes associated with clothing worn by a set of objects. The digital video data comprises metadata describing the set of objects. The set of color and texture based attributes are analyzed using cohort criteria to form a result. The cohort criteria specify attributes that are associated with members of a given cohort. A set of cohorts is generated based on the result. Each cohort in the set of cohorts comprises a subset of objects from the set of objects that share at least one color and texture based attribute in common.

Abstract: An image recognition device includes: an image sensor that captures an image via an image forming optical system and outputs image information repeatedly; a detector that detects differences between reference image information related to a reference image and a plurality of sets of partial information included in the image information; a recognition circuit that includes a microprocessor and recognizes a set of partial information, for which a smallest difference value among a plurality of differences detected in correspondence to the plurality of sets of partial information is calculated, as information matching the reference image information if the smallest value is smaller than a threshold value; and a controller that includes a microprocessor and sets the threshold value in correspondence to a color indicated in the reference image information.

Abstract: A computer implemented method, apparatus, and computer program product for generating video based cohorts. Digital video data is processed to identify a set of color and texture based attributes associated with the set of objects. The digital video data comprises metadata describing the set of objects. The set of color and texture based attributes are analyzed using cohort criteria to form a result. The cohort criteria specify attributes that are associated with members of a given cohort. A set of cohorts is generated based on the result. Each cohort in the set of cohorts comprises a subset of objects from the set of objects that share at least one color and texture based attribute in common.

Abstract: The path and/or position of an object is tracked using two or more cameras which run asynchronously so there is need to provide a common timing signal to each camera. Captured images are analyzed to detect a position of the object in the image. Equations of motion for the object are then solved based on the detected positions and a transformation which relates the detected positions to a desired coordinate system in which the path is to be described. The position of an object can also be determined from a position which meets a distance metric relative to lines of position from three or more images. The images can be enhanced to depict the path and/or position of the object as a graphical element. Further, statistics such as maximum object speed and distance traveled can be obtained. Applications include tracking the position of a game object at a sports event.

Abstract: A target tracking apparatus and method according to an exemplary embodiment of the present invention may quickly and accurately perform target detection and tracking in a photographed image given as consecutive frames by acquiring at least one target candidate image most similar to a photographed image of a previous frame among prepared reference target images, determining one of the target candidate images as a target confirmation message based on the photographed image, and calculating a homography between the determined target confirmation image and the photographed image, and searching the photographed image of the previous image for feature points according to the calculated homography, and tracking an inter-frame change from the previous frame of the found feature points to a current frame.

Abstract: A gaming system for playing a wagering game includes an input device for receiving a wager to play a wagering game, a display, and a controller. The controller is configured to display a three-dimensional view of at least a portion of a gaming environment and one or more movable visual elements disposed within the gaming environment. The controller is further configured to dynamically retain within the field of view a center point of a selected set of the movable visual elements.

Abstract: A wireless video camera system including a single or dual HDTV digital camera; a system for the wireless transmission of uncompressed single or multiple SMPTE 292M, HDSDI data streams over an RF band; and automatic self-pointing transmitting and receiving antennas.

Abstract: An image signal processing unit partitions a frame image into a plurality of partitioned blocks and calculates for each partitioned block luminance information, color information, contrast information, and a motion vector quantity. A grouping unit groups the partitioned blocks into an image area of the same object based on the luminance information and the color information of each partitioned block. A moving amount calculating unit calculates a moving amount of an object contained in a grouped image area based on the motion vector quantity of each partitioned block, a detection value of a motion detection sensor, and a focal length calculated by a focal length calculating unit. A tracking object selecting unit selects an object in the image area of the highest contrast value as a tracking target object out of objects each having a moving amount exceeding a threshold value.

Abstract: Methods and systems for video retargeting and view selection using motion saliency are described. Salient features in multiple videos may be extracted. Each video may be retargeted by modifying the video to preserve the salient features. A crop path may be estimated and applied to a video to retarget each video and generate a modified video preserving the salient features. An action score may be assigned to portions or frames of each modified video to represent motion content in the modified video. Selecting a view from one of the given modified videos may be formulated as an optimization subject to constraints. An objective function for the optimization may include maximizing the action score. This optimization may also be subject to constraints to take into consideration optimal transitioning from a view from a given video to another view from another given video, for example.

Abstract: An imaging apparatus is equipped with: imaging means, for obtaining images of a subject; imaging control means, for controlling the imaging means to sequentially obtain a plurality of images; reference image selecting means, for selecting a single reference image from among the plurality of images; moving object region specifying means, for specifying moving object regions within corresponding images, which are the plurality of images other than the selected reference image; positioning means, for positioning the plurality of corresponding images with respect to the reference image in the case that the plurality of images have been imaged by flow shooting, the positioning being performed such that the amount of positioning is greater at the specified moving object regions than at non moving object regions; and combining means, for combining the plurality of corresponding images, which have been positioned by the positioning means, with the reference image.

Abstract: An image processing apparatus includes: an object state detector detecting a state of an object in input images inputted in time series; an image-capturing controller controlling image-capturing of the input images in accordance with the detected state of an object; and an image combiner combining pixel values at corresponding pixel positions of the input images, and outputting the pixel values as an output image, the input images being subjected to image-capturing control by the image-capturing controller.

Abstract: A method for presentation interaction. The method includes, receiving by a computer system an indication of a manual selection of a region proximate to an audience member of an audience wherein the indication is received via an interaction with a displayed image of the audience. The method also includes utilizing a microphone array communicatively coupled with a beam-forming component of the computer system to focus audio pickup from the region proximate to the audience member in response to receiving the indication. The method also includes displaying an enhanced image of the region proximate to the audience member using the computer system in response to receiving the indication.

Abstract: A computerized method of video analysis that includes receiving several series of video frames generated by a number of image sensors. Each image sensor has its own field-of-view which can, but does not have to, overlap with another image sensor's field-of-view. The image sensors monitor a portion of a monitored environment. The computerized method also includes concurrently tracking, independent of calibration, multiple objects within the monitored environment as the objects move between fields-of-view, and multiple objects within one field-of-view. The tracking is based on the plurality of received series of video frames.

Abstract: An object tracking method includes steps of obtaining multiple first classifications of pixels within a first focus frame in a first frame picture, wherein the first focus frame includes an object to be tracked and has a first rectangular frame in a second frame picture; performing a positioning process to obtain a second rectangular frame; and obtaining color features of pixels around the second rectangular frame sequentially and establishing multiple second classifications according to the color feature. The established second classifications are compared with the first classifications sequentially to obtain an approximation value, compared with a predetermined threshold. The second rectangular frame is progressively adjusted, so as to establish a second focus frame. By analyzing color features of the pixels of the object and with a classification manner, the efficacy of detecting a shape and size of the object so as to update information of the focus frame is achieved.

Abstract: According to one embodiment, an information display apparatus includes a display unit, a storage unit, a view point calculation unit, a region estimation unit, and an extraction unit. A scene surrounding the display unit is visible through the display unit. The storage unit is configured to store a location and a guide of each object existing in the scene. The view point calculation unit is configured to calculate a view point of a user observing the scene through the display unit. The region estimation unit is configured to estimate a region observed by the user in the scene, based on the view point. The extraction unit is configured to search an object existing in the region based on the location of the object, and to extract the guide of the object from the storage unit. The display unit displays the guide extracted.