Material identification from a spectral filtered patterned image without demosaicing
    21.
    发明授权
    Material identification from a spectral filtered patterned image without demosaicing 有权
    材料识别从光谱滤波图案图像没有去马赛克

    公开(公告)号:US09523608B2

    公开(公告)日:2016-12-20

    申请号:US13715446

    申请日:2012-12-14

    Abstract: What is disclosed is a system and method for processing image data acquired using a multi-band infrared camera system with a spectral mosaic filter arranged in a geometric pattern without having to perform a demosaicing that is typical with processing data from an array of sensors. In one embodiment, image data that has been captured using a camera system that has a spectral filter mosaic comprising a plurality of spectral filters arrayed on a grid. A material index is determined, using intensity values collected by sensor elements associated with a cell's respective spectral filters. All of the material indices collectively generate a material index image. Thereafter, material identification is performed on the material index image using, for example, pixel classification. Because the demosaicing step can be effectively avoided, image processing time is reduced. The teachings hereof find their uses in a wide array of applications including automated HOV/HOT violation detection.

    Abstract translation: 所公开的是一种用于处理使用具有以几何图案排列的频谱马赛克滤波器的多频带红外相机系统获取的图像数据的系统和方法,而不必执行典型的来自传感器阵列的数据处理的去马赛克。 在一个实施例中,已经使用具有包括排列在网格上的多个频谱滤波器的频谱滤波器马赛克的相机系统捕获的图像数据。 使用与单元相应的光谱滤波器相关联的传感器元件收集的强度值来确定材料索引。 所有材料指标共同生成材料索引图像。 此后,使用例如像素分类对材料索引图像进行材料识别。 因为可以有效地避免去马赛克步骤,所以减少了图像处理时间。 其教导在各种应用中发现其用途,包括自动HOV / HOT违规检测。

    Detecting febrile seizure with a thermal video camera
    22.
    发明授权
    Detecting febrile seizure with a thermal video camera 有权
    用热像仪检测发热性惊厥

    公开(公告)号:US09521335B2

    公开(公告)日:2016-12-13

    申请号:US14306817

    申请日:2014-06-17

    Abstract: What is disclosed is a system and method for detecting febrile seizure using a thermal video camera. In one embodiment, a video is received comprising time-sequential thermal images of a subject. The video is acquired of the subject in real-time using a thermal video system. Each thermal image comprises a plurality of pixels with an intensity value of each pixel corresponding to a temperature. The thermal images are processed to determine an occurrence of a febrile seizure. The processing involves identifying a region of interest in the thermal image and determining a temperature for the region of interest based on values of the pixels isolated in that region of interest. Thereafter, a rate of change of temperatures is obtained for the subject in real-time on a per-frame basis. If the rate of change is determined to have exceeded a pre-defined threshold level, then the subject is having a febrile seizure.

    Abstract translation: 公开的是使用热摄像机检测发热性惊厥的系统和方法。 在一个实施例中,接收包括被摄体的时间顺序的热图像的视频。 使用热视频系统实时拍摄该主题的视频。 每个热图像包括具有对应于温度的每个像素的强度值的多个像素。 热图像被处理以确定发热发作。 处理涉及识别热图像中的感兴趣区域,并且基于在该感兴趣区域中分离的像素的值来确定感兴趣区域的温度。 此后,以每帧为基础实时获得对象的温度变化率。 如果变化率被确定为已经超过预定义的阈值水平,则受试者具有发热性发作。

    Dynamic multi-windowed image enhancement for interactive HOV detection
    23.
    发明授权
    Dynamic multi-windowed image enhancement for interactive HOV detection 有权
    用于交互式HOV检测的动态多窗口图像增强

    公开(公告)号:US09420171B2

    公开(公告)日:2016-08-16

    申请号:US14049578

    申请日:2013-10-09

    CPC classification number: H04N5/23229 G06K9/00785 G06T5/008 G06T5/40 H04N7/183

    Abstract: A system and method for enhancing images including an image capture device operably connected to a data processing device that captures an image of a target vehicle, and a processor-usable medium embodying computer code, said processor-usable medium being coupled to said data processing device, said computer program code comprising instructions executable by said processor. The instructions configured for identifying a region within the image including a window of the target vehicle, applying a first image enhancement effect to the identified region, applying a second image enhancement effect to a remainder of the image not including the identified region, the second image enhancement effect different than the first image enhancement effect.

    Abstract translation: 一种用于增强图像的系统和方法,包括可操作地连接到捕获目标车辆的图像的数据处理装置的图像捕获装置和体现计算机代码的处理器可用介质,所述处理器可用介质耦合到所述数据处理装置 所述计算机程序代码包括可由所述处理器执行的指令。 所述指令被配置用于识别包括所述目标车辆的窗口的所述图像内的区域,对所识别的区域应用第一图像增强效果,将第二图像增强效果应用于不包括所识别的区域的所述图像的其余部分,所述第二图像 增强效果不同于第一图像增强效果。

    COMPUTER-VISION BASED PROCESS RECOGNITION
    24.
    发明申请
    COMPUTER-VISION BASED PROCESS RECOGNITION 审中-公开
    基于计算机视觉的过程识别

    公开(公告)号:US20160234464A1

    公开(公告)日:2016-08-11

    申请号:US14688230

    申请日:2015-04-16

    Abstract: A computer-vision based method for validating an activity workflow of a human performer includes identifying a target activity. The method includes determining an expected sequence of actions associated with the target activity. The method includes receiving a video stream from an image capture device monitoring an activity performed by an associated human performer. The method includes determining an external cue in the video stream. The method includes associating a frame capturing the external cue as a first frame in a key frame sequence. The method includes determining an action being performed by the associated human performer in the key frame sequence. In response to determining the action in the key frame sequence matching an expected action in the target activity, the method includes verifying the action as being performed in the monitored activity. In response to not determining the action in the key frame sequence, the method includes generating an alert indicating an error in the monitored activity.

    Abstract translation: 用于验证人类表演者的活动工作流程的基于计算机视觉的方法包括识别目标活动。 该方法包括确定与目标活动相关联的预期动作序列。 该方法包括从监视由相关联的人类执行者执行的活动的图像捕获设备接收视频流。 该方法包括确定视频流中的外部提示。 该方法包括将捕获外部提示的帧作为关键帧序列中的第一帧进行关联。 该方法包括确定在关键帧序列中由相关联的人类执行者正在执行的动作。 响应于确定与目标活动中的预期动作匹配的关键帧序列中的动作,该方法包括将该动作验证为在所监视的活动中执行。 响应于不确定关键帧序列中的动作,该方法包括生成指示所监视活动中的错误的警报。

    Reconstructing an image of a scene captured using a compressed sensing device

    公开(公告)号:US09412185B2

    公开(公告)日:2016-08-09

    申请号:US14753238

    申请日:2015-06-29

    Abstract: A method for reconstructing an image of a scene captured using a compressed sensing device. A mask is received which identifies at least one region of interest in an image of a scene. Measurements are then obtained of the scene using a compressed sensing device comprising, at least in part, a spatial light modulator configuring a plurality of spatial patterns according to a set of basis functions each having a different spatial resolution. A spatial resolution is adaptively modified according to the mask. Each pattern focuses incoming light of the scene onto a detector which samples sequential measurements of light. These measurements comprise a sequence of projection coefficients corresponding to the scene. Thereafter, an appearance of the scene is reconstructed utilizing a compressed sensing framework which reconstructs the image from the sequence of projection coefficients.

    Methods and systems for video-based chew counting via feature tracking
    27.
    发明授权
    Methods and systems for video-based chew counting via feature tracking 有权
    通过功能跟踪进行基于视频的咀嚼计数的方法和系统

    公开(公告)号:US09330297B2

    公开(公告)日:2016-05-03

    申请号:US13742658

    申请日:2013-01-16

    CPC classification number: G06K9/00261

    Abstract: A system and method of video-based chew counting by receiving image frames from a video camera, determining feature points within the image frames from the video camera, generating a motion signal based on movement of the feature points across the image frames from the video camera, and determining a chew count based on the motion signal.

    Abstract translation: 一种通过从摄像机接收图像帧的基于视频的咀嚼计数的系统和方法,确定来自摄像机的图像帧内的特征点,基于来自摄像机的图像帧上的特征点的移动产生运动信号 ,并且基于运动信号确定咀嚼计数。

    SYSTEM AND METHOD FOR SEAT OCCUPANCY DETECTION FROM CEILING MOUNTED CAMERA USING ROBUST ADAPTIVE THRESHOLD CRITERIA
    28.
    发明申请
    SYSTEM AND METHOD FOR SEAT OCCUPANCY DETECTION FROM CEILING MOUNTED CAMERA USING ROBUST ADAPTIVE THRESHOLD CRITERIA 有权
    使用鲁棒自适应阈值标准的天花板安装摄像机的座椅检测系统和方法

    公开(公告)号:US20160092733A1

    公开(公告)日:2016-03-31

    申请号:US14673943

    申请日:2015-03-31

    Abstract: A method for detecting sitting behavior includes acquiring a sequence of frames capturing a scene-of-interest at an overhead view. The method includes detecting at least one empty seat within the scene-of-interest and associating the seat as being unoccupied and the frame as a reference frame. The method includes extracting reference features describing a region of the unoccupied seat in the reference frame and quantifying the reference features to form a reference feature vector. The method includes extracting features describing the region in a given frame and quantifying the features to form a current feature vector. The method includes measuring a change in a feature vector over time using the reference feature vector and the current feature vector. The method includes and determining a status of the seat in the given frame as being one of occupied and unoccupied based on the change in the feature vector.

    Abstract translation: 用于检测坐姿行为的方法包括获取在俯视图处拍摄感兴趣场景的帧序列。 所述方法包括:检测所述兴趣场景内的至少一个空座位,并将所述座椅未被占用并将所述框架作为参考框架。 该方法包括提取描述参考帧中的空闲座位的区域的参考特征并量化参考特征以形成参考特征向量。 该方法包括提取描述给定帧中的区域的特征并量化特征以形成当前特征向量。 该方法包括使用参考特征向量和当前特征向量来测量特征向量随时间的变化。 该方法包括并且基于特征向量的改变将给定帧中的座席的状态确定为占用和未占用之一。

    VEHICLE OCCUPANCY DETECTION USING PASSENGER TO DRIVER FEATURE DISTANCE
    29.
    发明申请
    VEHICLE OCCUPANCY DETECTION USING PASSENGER TO DRIVER FEATURE DISTANCE 有权
    使用乘客驾驶特征距离的车辆危害检测

    公开(公告)号:US20150324653A1

    公开(公告)日:2015-11-12

    申请号:US14273774

    申请日:2014-05-09

    CPC classification number: G06K9/00838 B60R1/00 G08G1/04

    Abstract: A method, system, and apparatus for vehicle occupancy detection comprises collecting image data of a vehicle, creating a first value according to a plurality of characteristics of a driver position of the vehicle, and then creating at least one other value according to a plurality of characteristics of at least one other candidate occupant position in the vehicle. The characteristics of the driver position of the vehicle and candidate occupant position of the vehicle are compared in order to determine the vehicle occupancy.

    Abstract translation: 一种用于车辆占用检测的方法,系统和装置,包括:收集车辆的图像数据,根据车辆的驾驶员位置的多个特征创建第一值,然后根据多个 车辆中至少一个其他候选乘客位置的特征。 比较车辆的驾驶员位置和车辆候选乘客位置的特性,以确定车辆占用。

    COMPUTER-BASED SYSTEM AND METHOD FOR PRESENTING AND CONTROLLING ACCESS TO MEDICAL INFORMATION
    30.
    发明申请
    COMPUTER-BASED SYSTEM AND METHOD FOR PRESENTING AND CONTROLLING ACCESS TO MEDICAL INFORMATION 审中-公开
    基于计算机的系统和方法,用于呈现和控制对医疗信息的访问

    公开(公告)号:US20140343962A1

    公开(公告)日:2014-11-20

    申请号:US13893753

    申请日:2013-05-14

    CPC classification number: G16H10/60 G06F19/324 G16H15/00

    Abstract: A computer-based method for presenting medical information, including: storing, in at least one memory element of at least one computer, computer readable instructions; and executing, using at least one processor for the at least one computer, the computer readable instructions to: receive an input selecting a medical condition; identify a portion of an electronic medical record (EMR) for the patient, specific to the patient, related to the medical condition; generate a video including at least one video segment with the portion of the EMR; designate at least one first level of access for the at least one video segment; and control access to the at least one video segment according to the at least one first level of access.

    Abstract translation: 一种用于呈现医疗信息的基于计算机的方法,包括:在至少一个计算机的至少一个存储元件中存储计算机可读指令; 以及使用至少一个用于所述至少一个计算机的处理器执行所述计算机可读指令以:接收选择医疗状况的输入; 识别与医疗状况相关的患者特定的患者的电子医疗记录(EMR)的一部分; 生成包含至少一个视频片段与视频片段的部分的视频; 为所述至少一个视频段指定至少一个第一级访问; 以及根据所述至少一个第一访问级别控制对所述至少一个视频段的访问。

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