利索-全球专利检索

  1. 登录
  2. 注册

搜索结果

37 条记录 (耗时 0.025 秒)

    METHOD AND SYSTEM FOR DETECTING THAT AN OBJECT OF INTEREST HAS RE-ENTERED A FIELD OF VIEW OF AN IMAGING DEVICE
    4.
    发明申请
    METHOD AND SYSTEM FOR DETECTING THAT AN OBJECT OF INTEREST HAS RE-ENTERED A FIELD OF VIEW OF AN IMAGING DEVICE 审中-公开
    用于检测兴趣对象的方法和系统已经重新绘制成像装置的视野

    公开(公告)号：US20160231411A1

    公开(公告)日：2016-08-11

    申请号：US14619602

    申请日：2015-02-11

    申请人： Xerox Corporation

    发明人： Jayant Kumar ,  Qun Li ,  Edgar A. Bernal ,  Raja Bala

    IPC分类号： G01S3/786

    CPC分类号： G01S3/7864 ,  G06K9/00771 ,  G06K2009/3291 ,  G06T7/20

    摘要： 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.

    摘要翻译： 移动电子设备处理图像序列以识别并重新识别序列中的感兴趣对象。 设备的图像传感器接收图像序列。 设备检测第一图像中的对象以及与第一图像中的对象相对应的设备的位置参数。 设备确定对象可能在设备的视野中出现的位置参数的范围。 当设备检测到感兴趣的对象退出视野时，它随后使用运动传感器数据来确定感兴趣的对象可能重新进入视野，它将分析当前帧以确认感兴趣的对象 已重新进入视野。

    SYSTEM AND METHOD FOR ACHIEVING COMPUTATIONALLY EFFICIENT MOTION ESTIMATION IN VIDEO COMPRESSION BASED ON MOTION DIRECTION AND MAGNITUDE PREDICTION
    6.
    发明申请
    SYSTEM AND METHOD FOR ACHIEVING COMPUTATIONALLY EFFICIENT MOTION ESTIMATION IN VIDEO COMPRESSION BASED ON MOTION DIRECTION AND MAGNITUDE PREDICTION 有权
    基于运动方向和磁场预测在视频压缩中实现计算有效运动估计的系统和方法

    公开(公告)号：US20160142727A1

    公开(公告)日：2016-05-19

    申请号：US14541550

    申请日：2014-11-14

    申请人： Xerox Corporation

    发明人： Edgar A. Bernal ,  Qun Li ,  Stuart Schweid ,  Wencheng Wu

    IPC分类号： H04N19/513

    CPC分类号： H04N19/57

    摘要： 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 he 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.

    摘要翻译： 视频压缩的基于块的运动估计以计算有效的方式估计场景中的对象的运动的方向和幅度，并且精确地预测用于运动矢量的最佳搜索方向/邻域位置.A系统可以包括检测明显的运动检测模块 在场景中的运动，运动方向和幅度预测模块，其估计由运动检测模块检测到的运动对象的运动的方向和幅度;以及基于块的运动估计模块，其执行在减少的邻域中的搜索 根据由运动方向和幅度预测模块估计的运动的目标块，并且仅针对由运动检测模块确定为运动的块。 本发明特别适用于监视道路和公路的交通执法目的的固定交通照相机。

    Feature- and classifier-based vehicle headlight/shadow removal in video
    8.
    发明授权
    Feature- and classifier-based vehicle headlight/shadow removal in video 有权
    视频中基于特征和分类器的车辆前灯/阴影去除

    公开(公告)号：US09275289B2

    公开(公告)日：2016-03-01

    申请号：US14227035

    申请日：2014-03-27

    申请人： Xerox Corporation

    发明人： Qun Li ,  Edgar A. Bernal ,  Matthew Shreve ,  Robert P. Loce

    IPC分类号： G06K9/00 ,  G06K9/62 ,  G06T7/00

    CPC分类号： G06K9/00825 ,  G06K9/00744 ,  G06K9/6269 ,  G06T7/194 ,  G06T7/215 ,  G06T7/251 ,  G06T7/254 ,  G06T2207/10048 ,  G06T2207/20032 ,  G06T2207/20076 ,  G06T2207/20081 ,  G06T2207/30232 ,  G06T2207/30242

    摘要： A method for removing false foreground image content in a foreground detection process performed on a video sequence includes, for each current frame, comparing a feature value of each current pixel against a feature value of a corresponding pixel in a background model. The each current pixel is classified as belonging to one of a candidate foreground image and a background based on the comparing. A first classification image representing the candidate foreground image is generated using the current pixels classified as belonging to the candidate foreground image. The each pixel in the first classification image is classified as belonging to one of a foreground image and a false foreground image using a previously trained classifier. A modified classification image is generated for representing the foreground image using the pixels classified as belonging to the foreground image while the pixels classified as belonging to the false foreground image are removed.

    摘要翻译： 在对视频序列执行的前景检测处理中去除假前景图像内容的方法包括：对于每个当前帧，将每个当前像素的特征值与背景模型中相应像素的特征值进行比较。 基于比较，将每个当前像素分类为属于候选前景图像和背景中的一个。 使用分类为属于候选前景图像的当前像素来生成表示候选前景图像的第一分类图像。 使用先前训练的分类器将第一分类图像中的每个像素分类为属于前景图像和假前景图像之一。 生成用于使用分类为属于前景图像的像素来表示前景图像的修改后的分类图像，而分类为属于假前景图像的像素被去除。

    Hyperspectral imaging devices using hybrid vector and tensor processing
    9.
    发明授权
    Hyperspectral imaging devices using hybrid vector and tensor processing 有权

    公开(公告)号：US09854221B2

    公开(公告)日：2017-12-26

    申请号：US14498255

    申请日：2014-09-26

    申请人： Xerox Corporation

    发明人： Qun Li ,  Edgar A. Bernal

    IPC分类号： H04N13/00 ,  H04N5/33 ,  H04N13/02 ,  H04N5/232

    CPC分类号： H04N13/106 ,  H04N5/23245 ,  H04N5/332 ,  H04N13/204 ,  H04N13/296

    摘要： Methods and systems obtain data representative of a scene across spectral bands using a compressive-sensing-based hyperspectral imaging system comprising optical elements. These methods and systems sample two modes of a three-dimensional tensor corresponding to a hyperspectral representation of the scene using sampling matrices, one for each of the two modes, to generate a modified three-dimensional tensor. After sampling the two modes, such methods and systems sample a third mode of the modified three-dimensional tensor using a third sampling matrix to generate a further modified three-dimensional tensor. Then, the methods and systems reconstruct hyperspectral data from the further modified three-dimensional tensor using the sampling matrices and the third sampling matrix.

    MODEL-LESS BACKGROUND ESTIMATION FOR FOREGROUND DETECTION IN VIDEO SEQUENCES
    10.
    发明申请
    MODEL-LESS BACKGROUND ESTIMATION FOR FOREGROUND DETECTION IN VIDEO SEQUENCES 有权
    在视频序列中用于前缀检测的模型无背景估计

    公开(公告)号：US20160217575A1

    公开(公告)日：2016-07-28

    申请号：US14606469

    申请日：2015-01-27

    申请人： Xerox Corporation

    发明人： Edgar A. Bernal ,  Qun Li

    IPC分类号： G06T7/00 ,  H04N9/04 ,  G06T7/40

    CPC分类号： G06T7/408 ,  G06T7/254 ,  G06T7/90 ,  G06T2207/10016 ,  G06T2207/10024 ,  G06T2207/20032 ,  G06T2207/20081 ,  G06T2207/30232

    摘要： A camera outputs video as a sequence of video frames having pixel values in a first (e.g., relatively low dimensional) color space, where the first color space has a first number of channels. An image-processing device maps the video frames to a second (e.g., relatively higher dimensional) color representation of video frames. The mapping causes the second color representation of video frames to have a greater number of channels relative to the first number of channels. The image-processing device extracts a second color representation of a background frame of the scene. The image-processing device can then detect foreground objects in a current frame of the second color representation of video frames by comparing the current frame with the second color representation of a background frame. The image-processing device then outputs an identification of the foreground objects in the current frame of the video.

    摘要翻译： 相机将视频输出为具有第一（例如相对低维）色彩空间中的像素值的视频帧序列，其中第一颜色空间具有第一数量的通道。 图像处理设备将视频帧映射到视频帧的第二（例如较高维度）的颜色表示。 映射使得视频帧的第二颜色表示相对于第一数量的信道具有更多数量的信道。 图像处理装置提取场景的背景帧的第二颜色表示。 然后，图像处理装置可以通过将当前帧与背景帧的第二颜色表示进行比较来检测视频帧的第二颜色表示的当前帧中的前景对象。 然后，图像处理装置输出视频的当前帧中的前景对象的标识。