COMPUTATIONALLY EFFICIENT MOTION ESTIMATION WITH LEARNING CAPABILITIES FOR VIDEO COMPRESSION IN TRANSPORTATION AND REGULARIZED ENVIRONMENTS
    51.
    发明申请
    COMPUTATIONALLY EFFICIENT MOTION ESTIMATION WITH LEARNING CAPABILITIES FOR VIDEO COMPRESSION IN TRANSPORTATION AND REGULARIZED ENVIRONMENTS 有权
    具有学习能力的计算能力运动估计,用于运输和定期环境中的视频压缩

    公开(公告)号:US20140169469A1

    公开(公告)日:2014-06-19

    申请号:US13718030

    申请日:2012-12-18

    CPC classification number: H04N19/521 H04N19/57

    Abstract: The method facilitates efficient motion estimation for video sequences captured with a stationary camera with respect to an object. For video captured with this type of camera, a main cause of changes between adjacent frames corresponds to object motion. In this setting the output from the motion compensation stage is the block matching algorithm describing the way pixel blocks move between adjacent frames. For video captured with cameras mounted on moving vehicles (e.g. school buses, public transportation vehicles and police cars), the motion of the vehicle itself is the largest source of apparent motion in the captured video. In both cases, the encoded set of motion vectors is a good descriptor of apparent motion of objects within the field of view of the camera.

    Abstract translation: 该方法有助于相对于对象利用固定照相机拍摄的视频序列的有效运动估计。 对于使用这种相机拍摄的视频,相邻帧之间变化的主要原因对应于物体运动。 在该设置中,来自运动补偿级的输出是描述像素块在相邻帧之间移动的方式的块匹配算法。 对于搭载在移动车辆(例如校车,公共交通车辆和警车)上的摄像机拍摄的视频,车辆本身的运动是所捕获视频中最大的明显动作来源。 在这两种情况下,编码的运动矢量集合是在相机视场内的物体的明显运动的良好描述符。

    Method and system for detecting that an object of interest has re-entered a field of view of an imaging device

    公开(公告)号:US10408912B2

    公开(公告)日:2019-09-10

    申请号:US15933601

    申请日:2018-03-23

    Abstract: A mobile electronic device processes a sequence of images to identify and re-identify an object of interest in the sequence. An image sensor of the device, receives a sequence of images. The device detects an object in a first image as well as positional parameters of the device that correspond to the object in the first image. The device determines a range of positional parameters within which the object may appear in a field of view of the device. When the device detects that the object of interest exited the field of view it subsequently uses motion sensor data to determine that the object of interest has likely re-entered the field of view, it will analyze the current frame to confirm that the object of interest has re-entered the field of view.

    Breathing pattern identification for respiratory function assessment

    公开(公告)号:US10219739B2

    公开(公告)日:2019-03-05

    申请号:US14553659

    申请日:2014-11-25

    Abstract: What is disclosed is a system and method for identifying a patient's breathing pattern for respiratory function assessment without contact and with a depth-capable imaging system. In one embodiment, a time-varying sequence of depth maps are received of a target region of a subject of interest over a period of inspiration and expiration. Once received, the depth maps are processed to obtain a breathing signal for the subject. The subject's breathing signal comprises a temporal sequence of instantaneous volumes. One or more segments of the subject's breathing signal are then compared against one or more reference breathing signals each associated with a known pattern of breathing. As a result of the comparison, a breathing pattern for the subject is identified. The identified breathing pattern is then used to assess the subject's respiratory function. The teachings hereof find their uses in an array of diverse medical applications. Various embodiments are disclosed.

    System and method for achieving computationally efficient motion estimation in video compression based on motion direction and magnitude prediction

    公开(公告)号:US09736493B2

    公开(公告)日:2017-08-15

    申请号:US14541550

    申请日:2014-11-14

    CPC classification number: H04N19/57

    Abstract: Block-based motion estimation of video compression estimates the direction and magnitude of motion of objects in the scene in a computationally efficient manner and accurately predicts the optimal search direction/neighborhood location for motion vectors. A system can include a motion detection module that detects apparent motion in the scene, a motion direction and magnitude prediction module that estimates the direction and magnitude of motion of the objects detected to be in motion by the motion detection module, and a block-based motion estimation module that performs searches in reduced neighborhoods of the target block according to the estimated motion by the motion direction and magnitude prediction module and only for the blocks determined to be in motion by the motion detection module. The Invention is particularly well suited for stationary traffic cameras that monitor roads and highways for traffic law enforcement purposes.

    HUMAN IDENTITY VERIFICATION VIA AUTOMATED ANALYSIS OF FACIAL ACTION CODING SYSTEM FEATURES
    58.
    发明申请
    HUMAN IDENTITY VERIFICATION VIA AUTOMATED ANALYSIS OF FACIAL ACTION CODING SYSTEM FEATURES 有权
    人脸识别系统特征自动分析

    公开(公告)号:US20170061202A1

    公开(公告)日:2017-03-02

    申请号:US14840745

    申请日:2015-08-31

    CPC classification number: G06K9/00315 G06K9/00758 G06K9/623

    Abstract: A method, computer readable medium and apparatus for verifying an identity of an individual based upon facial expressions as exhibited in a query video of the individual are disclosed. The method includes receiving a reference video for each one of a plurality of different individuals, wherein a plurality of facial gesture encoders is extracted from at least one frame of the reference video describing one or more facial expressions of each one of the plurality of different individuals, receiving the query video, calculating a similarity score for the reference video for the each one of the plurality of different individuals based on an analysis that compares the plurality of facial gesture encoders of the at least one frame of the reference video for the each one of the plurality of different individuals to a plurality of facial gesture encoders extracted from at least one frame of the query video.

    Abstract translation: 公开了一种基于个人的查询视频中显示的基于面部表情来验证个人身份的方法,计算机可读介质和装置。 该方法包括接收多个不同个体中的每一个的参考视频,其中从描述多个不同个体中的每一个的一个或多个面部表情的参考视频的至少一个帧中提取多个面部手势编码器 接收查询视频,基于比较每个参考视频的至少一帧的多个面部手势编码器的分析,计算多个不同个体中的每个个体的参考视频的相似性得分 将所述多个不同个体的多个人脸手势编码器从所述查询视频的至少一个帧中提取出来。

    Enhancing a spatio-temporal resolution of a depth data stream
    59.
    发明授权
    Enhancing a spatio-temporal resolution of a depth data stream 有权
    增强深度数据流的时空分辨率

    公开(公告)号:US09525860B2

    公开(公告)日:2016-12-20

    申请号:US14107534

    申请日:2013-12-16

    CPC classification number: H04N13/139 H04N13/111 H04N13/128 H04N2213/003

    Abstract: What is disclosed is a system and method for enhancing a spatio-temporal resolution of a depth data stream. In one embodiment, time-sequential reflectance frames and time-sequential depth frames of a scene are received. If a temporal resolution of the reflectance frames is greater than the depth frames then a new depth frame is generated based on correlations determined between motion patterns in the sequence of reflectance frames and the sequence of depth frames. The new depth frame is inserted into the sequence of depth frames at a selected time point. If a spatial resolution of the reflectance frames is greater than the depth frames then the spatial resolution of a selected depth frame is enhanced by generating new pixel depth values which are added to the selected depth frame. The spatially enhanced depth frame is then inserted back into the sequence of depth frames.

    Abstract translation: 公开的是用于增强深度数据流的时空分辨率的系统和方法。 在一个实施例中,接收场景的时序反射帧和时间顺序深度帧。 如果反射率帧的时间分辨率大于深度帧,则基于在反射帧序列中的运动模式和深度帧序列之间确定的相关性来生成新的深度帧。 在所选择的时间点将新的深度帧插入到深度帧序列中。 如果反射率帧的空间分辨率大于深度帧,则通过生成添加到所选择的深度帧的新像素深度值来增强所选深度帧的空间分辨率。 然后将空间增强的深度帧插入到深度帧序列中。

    System and method for adaptive depth map reconstruction
    60.
    发明授权
    System and method for adaptive depth map reconstruction 有权
    自适应深度图重建系统和方法

    公开(公告)号:US09514537B2

    公开(公告)日:2016-12-06

    申请号:US14141610

    申请日:2013-12-27

    Abstract: What is disclosed is a system and method for adaptively reconstructing a depth map of a scene. In one embodiment, upon receiving a mask identifying a region of interest (ROI), a processor changes either a spatial attribute of a pattern of source light projected on the scene by a light modulator which projects an undistorted pattern of light with known spatio-temporal attributes on the scene, or changes an operative resolution of a depth map reconstruction module. A sensing device detects the reflected pattern of light. A depth map of the scene is generated by the depth map reconstruction module by establishing correspondences between spatial attributes in the detected pattern and spatial attributes of the projected undistorted pattern and triangulating the correspondences to characterize differences therebetween. The depth map is such that a spatial resolution in the ROI is higher relative to a spatial resolution of locations not within the ROI.

    Abstract translation: 公开的是用于自适应地重建场景的深度图的系统和方法。 在一个实施例中,在接收到识别感兴趣区域(ROI)的掩模之后,处理器通过光调制器来改变投射在场景上的源光的图案的空间属性,所述光调制器将未失真的光模式投射到已知的时空 场景上的属性,或改变深度图重建模块的可操作分辨率。 感测装置检测光的反射图案。 由深度图重建模块通过建立检测图案中的空间属性与投射的未失真模式的空间属性之间的对应关系并对其对应性进行三角测量,来形成场景的深度图。 深度图使得ROI中的空间分辨率相对于不在ROI内的位置的空间分辨率较高。

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