Abstract: This invention provides a single-camera vision system, typically for use in logistics applications, that allows for adjustment of the camera viewing angle to accommodate a wide range of object heights and associated widths moving relative to an imaged scene with constant magnification. The camera assembly employs an image sensor that is more particularly suited to such applications, with an aspect (height-to-width) ratio of approximately 1:4 to 1:8. The camera assembly includes a distance sensor to determine the distance to the top of each object. The camera assembly employs a zoom lens that can change at relatively high speed (e.g. <10 ms) to allow adjustment of the viewing angle from object to object as each one passes under the camera's field of view (FOV). Optics that allow the image to be resolved on the image sensor within the desired range of viewing angles are provided in the camera lens assembly.

Abstract: Device and method for scanning an object outline image are provided. The scanning device includes a light source, an optical sensor and a processor. The scanning method includes: providing a polarized projection light beam; projecting the polarized projection light beam to an object, and correspondingly reflecting a polarized reflection light beam by the object according to the polarized projection light beam; capturing an image of the polarized reflection light beam; calculating polarization state of target according to the polarized projection light beam and the polarized reflection light beam, the polarization state of target having a plane angle from normal projection and a corresponding point position; and restoring an outline image of the object according to the polarization state of target.

Abstract: A method for automatic left ventricular (LV) inner border detection, the method comprising: performing image mapping on an echocardiogram, to produce a multi-level image map; converting the image map into a binary image, by attributing pixels of one or more darker levels of the image map to the LV cavity and pixels of one or more lighter levels of the image map to the myocardium; applying a radial filter to contours of the myocardium in the binary image, to extract an approximate inner border of the LV; and performing shape modeling on the approximate inner border, to determine the LV inner border.

Abstract: A method of statistical multiplexing digital video is provided enabling use of an encoder pool. The method includes loading a mapping curve into memory at a statistical multiplexor controller (SMC) for each of a plurality of encoders in a heterogeneous encoder pool, each mapping curve being specific to a type and/or configuration of encoder and associating target bitrates with need parameter values, receiving a need parameter value at the SMC from each encoder in the heterogeneous encoder pool, determining a target bitrate associated with each need parameter value received at the SMC, by looking up target bitrates for each need parameter on mapping curves specific to each encoder in the heterogeneous encoder pool, and sending the target bitrate from the SMC to each encoder in the heterogeneous encoder pool in a bitrate assignment.

Abstract: In a special mode, an internal body portion is imaged under a first white light beam to obtain a first frame composed of blue, green, and red signals. Sequentially, the body portion is imaged under a second white light beam to obtain a second frame composed of blue, green, and red signals. An oxygen saturation level is calculated from the signals. A special image is produced based on the oxygen saturation level. A displacement between the first and second frames is calculated from the signals. If the displacement is a first allowable value or more and less than a second allowable value, the special image is displayed with a lower chroma on a monitor, as compared with a case where the displacement is less than the first allowable value. If the displacement is the second allowable value or more, the special image is converted into a gray scale image.

Abstract: A video-based monitoring and image post-processing system may include a plenoptic camera that has multiple mirrors in its field of view. The plenoptic camera may capture four-dimensional light-field information for multiple images of its field of view and may embed that information in image data sent to a local or backend server for post-processing. An image processing application on the server may extract image data for pixels that collectively represent one of the mirrors, and apply a focusing operation on the extracted image data to generate a video stream of a virtual camera represented by the mirror, dependent on the image information and the distance between the mirror and the camera. The application may correct distortions due to the curvature of the mirror. The system may provide video monitoring in areas without a single line of sight without the need for a large number of expensive cameras.

Abstract: A video surveillance system, device and methods may accurately model the shape of a human object monitored by a video stream. 3D human models, such as a coarse 3D human model and a detailed 3D human model may be estimated by mapping individual body part components to a frame. For example, a coarse 3D human model may be obtained by mapping the cylindrical body parts to a plurality of skeleton pose estimates on a part by part basis. A detailed 3D human model may be estimated by mapping detailed human body parts to respective the cylindrical body parts of the coarse 3D human model on a part by part basis. The detailed 3D human model may be used to detect accessories of the human object being monitored, as well as overall dimensions, body part dimensions, age, and gender of the human object being monitored.

Abstract: A ground based wind turbine blade inspection system and method consists of a thermal imaging camera configured to detect propagating defects by acquiring thermal imaging data from a wind turbine blade when it is substantially at thermal equilibrium with respect to surrounding air and analyzing the thermal imaging data with a processor to identify thermal effects associated with latent defects caused by internal friction due to cyclic gravitational stresses and wind loads during normal turbine operation. The system permits latent defects to be identified using a ground-based in situ inspection before they become visually apparent, which allows repairs to be made economically while the blade is in place.

Abstract: Techniques are described for optimizing memory used by a video decoder. A residual coefficient matrix including non-zero value residual coefficients of a larger parent matrix with both non-zero and zero value residual coefficients can be provided to the decoder. Residual coefficient matrix metadata can also be provided so that a modified and reduced inverse transform matrix can be selected and applied to the residual coefficient matrix.

Abstract: A remote monitoring system includes: a display unit on which a CG video generated from a three-dimensional CG model is displayed; an input unit which accepts a user's input to the CG video; a three-dimensional CG image generation unit which displays, on the display unit, the CG video after being moved on the basis of the input; an optimal camera calculation unit which specifies a surveillance camera that can pick up a real video similar to the CG video after being moved; and a control unit which controls the surveillance camera that is specified, wherein a real video from the surveillance camera that is controlled is displayed on the display unit.

Abstract: A system uses range and Doppler velocity measurements from a lidar system and images from a video system to estimate a six degree-of-freedom trajectory of a target and generate a three-dimensional image of the target. The system may refine the three-dimensional image by reducing the stochastic components in the transformation parameters between video frame times.

Abstract: A device for coding three-dimensional video data includes a video coder configured to determine a first block of a first texture view is to be coded using a block-based view synthesis mode; locate, in a depth view, a first depth block that corresponds to the first block of the first texture view; determine depth values of two or more corner positions of the first depth block; based on the depth values, derive a disparity vector for the first block; using the disparity vector, locate a first block of a second texture view; and, inter-predict the first block of the first texture view using the first block of the second texture view.

Abstract: Methods, systems, and products estimate distances to aid a visually impaired user of a mobile device. As the user carries the mobile device, a camera in the mobile device captures images of a walking cane. The images of the walking cane are analyzed to infer a distance between a tip of the walking cane and the mobile device. The distance may then be used by navigational tools to aid the visually impaired user.

Abstract: Systems and methods for converting multi-focus image data into a compressed video format. Multi-focus image data of a scene may be sampled to generate a stack of images spanning multiple focal depths. Each image focal distance is mapped to a time stamp and a video encoder is employed to generate a compressed video stream of scene information. In further embodiments, the video encoded scene information is decoded and frames from the stream selected for display based on the focal distance-time stamp mapping. In further embodiments, multi-focus video data is encoded with consecutive frames spanning different focal distances defining a Group of Pictures (GOP), and/or spanning different hierarchical layers.

Abstract: A glare measuring system is configured to have an imaging camera which is supported to be rotatable within a horizontal plane, and a processing device which calculates equivalent veiling luminance on the basis of a pickup image of the imaging camera and calculates the value of a glare rating GR on the basis of the equivalent veiling luminance. The imaging camera has a super-wide-angle lens mounted thereon, and picks up an image in a position which is rotated within the horizontal plane by every angle corresponding to the angle of view ? of the super-wide-angle. The processing device combines pickup images to generate a composite image in which a glare measurement direction is set to the center of the composite image, calculates equivalent veiling luminance on the basis of the composite image, and calculates the value of the glare rating in the glare measurement direction.

Abstract: In terms of the transmission of the coding method, it is ensured to decode information coded according to the intra-frame prediction coding with vector information. An error of a piece of divisional image information targeted for image prediction coding and a piece of predicted information is determined to perform prediction coding. A data stream in which a piece of information for identifying a prediction method and a piece of information subjected to prediction coding according to the method are arranged is produced according to the process sequence of the prediction coding for each process on the divisional image information. At this time, the data stream has a pair of vector information and the error information as information subjected to prediction coding for each process on the divisional image information on condition that the prediction method is intra-frame prediction coding with vectors.

Abstract: Techniques are disclosed for analyzing a scene depicted in an input stream of video frames captured by a video camera. The techniques include receiving data for an object within the scene and determining whether the object has remained substantially stationary within the scene for at least a threshold period. If the object is determined to have remained stationary for at least the threshold period, a rareness score is calculated for the object to indicate a likelihood of the object being stationary to an observed degree at an observed location. The rareness score may use a learning model to take into account previous stationary and/or non-stationary behavior of objects within the scene. In general, the learning model may be updated based on observed stationary and/or non-stationary behaviors of the objects. If the rareness score meets reporting conditions, the stationary object event may be reported.

Abstract: A ground based wind turbine blade inspection system and method consists of a thermal imaging camera configured to detect propagating defects by acquiring thermal imaging data from a wind turbine blade when it is substantially at thermal equilibrium with respect to surrounding air and analyzing the thermal imaging data with a processor to identify thermal effects associated with latent defects caused by internal friction due to cyclic gravitational stresses and wind loads during normal turbine operation. The system permits latent defects to be identified using a ground-based in situ inspection before they become visually apparent, which allows repairs to be made economically while the blade is in place.

Abstract: A video coding device, such as a video encoder or a video decoder, may be configured to decode a duration between coded picture buffer (CPB) removal time of a first decoding unit (DU) in an access unit (AU) and CPB removal time of a second DU, wherein the first DU comprises a non-video coding layer (VCL) network abstraction layer (NAL) unit with nal_unit_type equal to UNSPEC0, EOS_NUT, EOB_NUT, in the range of RSV_NVCL44 to RSV_NVCL47 or in the range of UNSPEC48 to UNSPEC63. The video decoder determines a removal time of the first DU based at least in part on the decoded duration and decodes video data of the first DU based at least in part on the removal time.

Abstract: Embodiments of the invention include a method and system for displaying an in vivo imaging procedure. The method includes receiving real-time image data captured by the capsule, and continuously generating an updated summarized color bar, said color bar comprising color strips and time scale marks. The color bar is calculated based on color values of received image data, and is updated continuously as new image data is received. The displayed time period is periodically updated, for example based on predetermined fixed time intervals, based on varying time intervals, or based on an accumulated amount of received image data. Other methods of determining the periodic updates may be used.