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    Region-of-interest video quality enhancement for object recognition
    1.
    发明授权
    Region-of-interest video quality enhancement for object recognition 有权
    感兴趣的视频质量增强对象识别

    公开(公告)号：US08532414B2

    公开(公告)日：2013-09-10

    申请号：US13256889

    申请日：2009-03-17

    申请人： Hongcheng Wang ,  Zhen Jia ,  Lei Sun

    发明人： Hongcheng Wang ,  Zhen Jia ,  Lei Sun

    IPC分类号： G06K9/46 ,  G06K9/00 ,  H04N7/12

    CPC分类号： G06K9/036 ,  G06K9/00771 ,  G06T5/001 ,  G06T7/0002 ,  G06T2207/10016 ,  G06T2207/20012 ,  G06T2207/20132 ,  G06T2207/30168 ,  G06T2207/30232 ,  G08B13/19613 ,  G08B13/19652

    摘要： A video-based object recognition system and method provides selective, local enhancement of image data for improved object-based recognition. A frame of video data is analyzed to detect objects to receive further analysis, these local portions of the frame being referred to as a region of interest (ROI). A video quality metric (VQM) value is calculated locally for each ROI to assess the quality of the ROI. Based on the VQM value calculated with respect to the ROI, a particular video quality enhancement (VQE) function is selected and applied to the ROI to cure deficiencies in the quality of the ROI. Based on the enhanced ROI, objects within the defined region can be accurately identified.

    摘要翻译： 基于视频的对象识别系统和方法提供用于改进的基于对象的识别的图像数据的选择性的局部增强。 分析视频数据帧以检测对象以接收进一步的分析，该帧的这些局部部分被称为感兴趣区域（ROI）。 为每个投资回报率本地计算视频质量指标（VQM）值，以评估投资回报率的质量。 基于相对于ROI计算的VQM值，选择特定视频质量增强（VQE）功能并将其应用于ROI以治愈ROI质量的不足。 基于增强的ROI，可以准确地识别定义区域内的对象。

    SYSTEM AND METHOD FOR VIDEO-QUALITY ENHANCEMENT
    2.
    发明申请
    SYSTEM AND METHOD FOR VIDEO-QUALITY ENHANCEMENT 有权
    用于视频质量增强的系统和方法

    公开(公告)号：US20120236184A1

    公开(公告)日：2012-09-20

    申请号：US13509924

    申请日：2009-07-27

    申请人： Zhen Jia ,  Lei Sun ,  Hongcheng Wang ,  Ziyou Xiong ,  Jianwei Zhao ,  Rodrigo Esteban Caballero ,  Alan Matthew Finn

    发明人： Zhen Jia ,  Lei Sun ,  Hongcheng Wang ,  Ziyou Xiong ,  Jianwei Zhao ,  Rodrigo Esteban Caballero ,  Alan Matthew Finn

    IPC分类号： H04N5/217

    CPC分类号： H04N7/18 ,  G06T5/005 ,  G06T2207/10016 ,  G06T2207/30192 ,  G06T2207/30232 ,  H04N5/21

    摘要： A video enhancement system provides automatic enhancement to video data that includes the presence of obscurations. The system provides near-field enhancement of the video data by detecting the presence of near-field obscurations such as snowflakes/raindrops and determining whether the detected obscurations are located over background pixels or foreground objects. The detected obscuration pixels are filled-in depending on whether they are located over the background or foreground to create an enhanced image. The system may also provide local/global adaptive contrast enhancement to enhance video in the presence of far-field obscurations.

    摘要翻译： 视频增强系统为视频数据提供自动增强功能，包括存在遮掩。 该系统通过检测诸如雪花/雨滴的近场遮蔽的存在并确定检测到的遮蔽物是否位于背景像素或前景物体上，来提供视频数据的近场增强。 检测到的遮蔽像素根据它们是否位于背景或前景上来填充以创建增强的图像。 该系统还可以提供局部/全局自适应对比度增强以在存在远场遮蔽的情况下增强视频。

    REGION-OF-INTEREST VIDEO QUALITY ENHANCEMENT FOR OBJECT RECOGNITION
    3.
    发明申请
    REGION-OF-INTEREST VIDEO QUALITY ENHANCEMENT FOR OBJECT RECOGNITION 有权
    区域感兴趣的视频质量增强

    公开(公告)号：US20120008832A1

    公开(公告)日：2012-01-12

    申请号：US13256889

    申请日：2009-03-17

    申请人： Hongcheng Wang ,  Zhen Jia ,  Lei Sun

    发明人： Hongcheng Wang ,  Zhen Jia ,  Lei Sun

    IPC分类号： G06K9/00

    CPC分类号： G06K9/036 ,  G06K9/00771 ,  G06T5/001 ,  G06T7/0002 ,  G06T2207/10016 ,  G06T2207/20012 ,  G06T2207/20132 ,  G06T2207/30168 ,  G06T2207/30232 ,  G08B13/19613 ,  G08B13/19652

    摘要： A video-based object recognition system and method provides selective, local enhancement of image data for improved object-based recognition. A frame of video data is analyzed to detect objects to receive further analysis, these local portions of the frame being referred to as a region of interest (ROI). A video quality metric (VQM) value is calculated locally for each ROI to assess the quality of the ROI. Based on the VQM value calculated with respect to the ROI, a particular video quality enhancement (VQE) function is selected and applied to the ROI to cure deficiencies in the quality of the ROI. Based on the enhanced ROI, objects within the defined region can be accurately identified.

    摘要翻译： 基于视频的对象识别系统和方法提供用于改进的基于对象的识别的图像数据的选择性的局部增强。 分析视频数据帧以检测对象以接收进一步的分析，该帧的这些局部部分被称为感兴趣区域（ROI）。 为每个投资回报率本地计算视频质量指标（VQM）值，以评估投资回报率的质量。 基于相对于ROI计算的VQM值，选择特定视频质量增强（VQE）功能并将其应用于ROI以治愈ROI质量的不足。 基于增强的ROI，可以准确地识别定义区域内的对象。

    SECURITY DEVICE WITH SECURITY IMAGE UPDATE CAPABILITY
    6.
    发明申请
    SECURITY DEVICE WITH SECURITY IMAGE UPDATE CAPABILITY 审中-公开
    具有安全图像更新能力的安全设备

    公开(公告)号：US20130163833A1

    公开(公告)日：2013-06-27

    申请号：US13821085

    申请日：2010-09-17

    申请人： Hongcheng Wang ,  Zhen Jia ,  Ziyou Xiong ,  Rodrigo E. Caballero

    发明人： Hongcheng Wang ,  Zhen Jia ,  Ziyou Xiong ,  Rodrigo E. Caballero

    IPC分类号： G06K9/00

    CPC分类号： G07C9/00158 ,  G06K9/00288 ,  G06K9/00926

    摘要： An exemplary security device includes a controller that determines whether a security credential for an individual corresponds to an authorized credential. The controller also determines whether an acquired image of the individual corresponds to a reference image that is associated with the authorized credential. The controller determines if a correspondence between the acquired image and the reference image satisfies a selected criterion when the security credential corresponds to the authorized credential. The controller updates the reference image responsive to the selected criterion being satisfied. The controller updates the reference image by including the acquired image into the reference image and weighting the acquired image higher than other image information previously incorporated into the reference image.

    摘要翻译： 示例性安全设备包括确定个人的安全凭证是否对应于授权凭证的控制器。 控制器还确定所获取的个人图像是否对应于与授权凭证相关联的参考图像。 当安全凭证对应于授权凭证时，控制器确定所获取的图像和参考图像之间的对应是否满足所选择的标准。 控制器响应于所选择的标准被满足来更新参考图像。 控制器通过将所获取的图像包括在参考图像中并且将获取的图像加权高于先前并入参考图像中的其它图像信息来更新参考图像。

    SYSTEM AND METHOD FOR OBJECT DETECTION
    7.
    发明申请
    SYSTEM AND METHOD FOR OBJECT DETECTION 有权
    用于物体检测的系统和方法

    公开(公告)号：US20130265421A1

    公开(公告)日：2013-10-10

    申请号：US13878188

    申请日：2010-10-05

    申请人： Zhen Jia ,  Ziyou Xiong ,  Hongcheng Wang

    发明人： Zhen Jia ,  Ziyou Xiong ,  Hongcheng Wang

    IPC分类号： G06K9/32 ,  H04N7/18

    CPC分类号： G06K9/3233 ,  G06K9/00221 ,  G06K9/00241 ,  G06K9/00248 ,  G06K9/00369 ,  G06K9/00375 ,  H04N7/18

    摘要： The present invention therefore provides a system and method of object detection that employs both global object detection and local object detection. In particular, the present invention applies global object detection techniques to detect global objects, and then applies local object detection techniques on select portions of detected global objects to detect local objects.

    摘要翻译： 因此，本发明提供一种采用全局对象检测和局部对象检测的对象检测系统和方法。 特别地，本发明应用全局对象检测技术来检测全局对象，然后对检测到的全局对象的选择部分应用本地对象检测技术来检测本地对象。

    System and Method for Automated Defect Detection Utilizing Prior Data
    10.
    发明申请
    System and Method for Automated Defect Detection Utilizing Prior Data 有权
    利用现有数据进行自动缺陷检测的系统和方法

    公开(公告)号：US20130114878A1

    公开(公告)日：2013-05-09

    申请号：US13288576

    申请日：2011-11-03

    申请人： Paul Raymond Scheid ,  Richard C. Grant ,  Alan Matthew Finn ,  Hongcheng Wang ,  Ziyou Xiong

    发明人： Paul Raymond Scheid ,  Richard C. Grant ,  Alan Matthew Finn ,  Hongcheng Wang ,  Ziyou Xiong

    IPC分类号： G06K9/00

    CPC分类号： G06T7/001 ,  G06T2207/10068 ,  G06T2207/30164

    摘要： A system and method for performing automated defect detection by utilizing data from prior inspections is disclosed. The system and method may include providing a image capture device for capturing and transmitting at least one current image of an object and providing a database for storing at least one prior image from prior inspections. The system and method may further include registering the at least one current image with the at least one prior image, comparing the registered at least one current image with the at least one prior image to determine a transformation therebetween and updating the database with the at least one current image.

    摘要翻译： 公开了一种通过利用来自先前检查的数据进行自动化缺陷检测的系统和方法。 该系统和方法可以包括提供用于捕获和发送对象的至少一个当前图像的图像捕获装置，并提供用于存储来自先前检查的至少一个先前图像的数据库。 所述系统和方法还可以包括将至少一个当前图像与所述至少一个先前图像对准，将所注册的至少一个当前图像与所述至少一个先前图像进行比较，以确定其间的变换，并且至少用 一个当前图像。