Patents by Inventor Dengbiao Jiang

Dengbiao Jiang has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 9361702
    Abstract: A method and device for detecting images are used to improve a detection rate and accuracy rate of the image moving target detection, so that moving targets also can be accurately detected in a scenario with complicated illumination changes. The method for detecting the images includes: collecting an image, performing moving target detection on the image by using a preset mixed space-time background model, and determining a target image; wherein, the mixed space-time background model is obtained in advance by modeling according to a grayscale change trend of the image.
    Type: Grant
    Filed: June 27, 2012
    Date of Patent: June 7, 2016
    Assignee: ZTE Corporation
    Inventors: Qiang Fu, Bo Li, Zhenwei Zhang, Qimei Chen, Jun He, Dengbiao Jiang
  • Patent number: 9225943
    Abstract: Disclosed is a PTZ video visibility detection method based on luminance characteristic, which includes acquiring a road condition video image by utilizing a PTZ video camera, extracting the region of interest ROI of the road surface to obtain high constancy of selected pixels; acquiring precise road surface region by utilizing region-growing algorism based on Nagao filtering to ensure the illuminance constancy of the selected pixels in world coordinates; in the road surface region, extracting the contrast curve which reflects the luminance variation of the road surface, and searching the feature points of the luminance curve to calculate the human eye distinguishable and maximum far pixels in the image with an extinction coefficient; calculating the maximum visibility distance in combination with camera calibration to determine the visibility value.
    Type: Grant
    Filed: August 11, 2011
    Date of Patent: December 29, 2015
    Assignee: Nanjing University
    Inventors: Bo Li, Jian Yu, Xiao Zhang, Rong Dong, Dengbiao Jiang, Zhaozheng Chen, Qimei Chen
  • Publication number: 20140169639
    Abstract: A method and device for detecting images are used to improve a detection rate and accuracy rate of the image moving target detection, so that moving targets also can be accurately detected in a scenario with complicated illumination changes. The method for detecting the images includes: collecting an image, performing moving target detection on the image by using a preset mixed space-time background model, and determining a target image; wherein, the mixed space-time background model is obtained in advance by modeling according to a grayscale change trend of the image.
    Type: Application
    Filed: June 27, 2012
    Publication date: June 19, 2014
    Applicant: ZTE CORPORATION
    Inventors: Qiang Fu, Bo Li, Zhenwei Zhang, Qimei Chen, Jun He, Dengbiao Jiang
  • Publication number: 20130342692
    Abstract: Disclosed is a PTZ video visibility detection method based on luminance characteristic, which includes acquiring a road condition video image by utilizing a PTZ video camera, extracting the region of interest ROI of the road surface to obtain high constancy of selected pixels; acquiring precise road surface region by utilizing region-growing algorism based on Nagao filtering to ensure the illuminance constancy of the selected pixels in world coordinates; in the road surface region, extracting the contrast curve which reflects the luminance variation of the road surface, and searching the feature points of the luminance curve to calculate the human eye distinguishable and maximum far pixels in the image with an extinction coefficient; calculating the maximum visibility distance in combination with camera calibration to determine the visibility value.
    Type: Application
    Filed: August 11, 2011
    Publication date: December 26, 2013
    Applicant: NANJING UNIVERSITY
    Inventors: Bo Li, Jian Yu, Xiao Zhang, Rong Dong, Dengbiao Jiang, Zhaozheng Chen, Qimei Chen