Patents by Inventor Subhodev Das

Subhodev Das 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: 8243991
    Abstract: A system and method for detecting a target in imagery is disclosed. At least one image region exhibiting changes in at least intensity is detected from among at least a pair of aligned images. A distribution of changes in at least intensity inside the at least one image region is determined using an unsupervised learning method. The distribution of changes in at least intensity is used to identify pixels experiencing changes of interest. At least one target from the identified pixels is identified using a supervised learning method. The distribution of changes in at least intensity is a joint hue and intensity histogram when the pair of images pertain to color imagery. The distribution of changes in at least intensity is an intensity histogram when the pair of images pertain to grey-level imagery.
    Type: Grant
    Filed: June 17, 2009
    Date of Patent: August 14, 2012
    Assignee: SRI International
    Inventors: Subhodev Das, Yi Tan, Ming-Yee Chiu, Andrew Coppock, Feng Han
  • Patent number: 7706571
    Abstract: Method for tracking an object recorded within a selected frame of a sequence of frames of video data, using a plurality of layers, where at least one object layer of the plurality of layers represents the object includes initializing layer ownership probabilities for pixels of the selected frame using a non-parametric motion model, estimating a set of motion parameters of the plurality of layers for the selected frame using a parametric maximization algorithm and tracking the object. The non-parametric motion model is optical flow and includes warping the mixing probabilities, the appearances of the plurality of layers, and the observed pixel data from the pixels of the preceding frame to the pixels of the selected frame to initialize the layer ownership probabilities for the pixels of the selected frame.
    Type: Grant
    Filed: October 13, 2005
    Date of Patent: April 27, 2010
    Assignee: Sarnoff Corporation
    Inventors: Subhodev Das, Manoj Aggarwal, Harpreet Singh Sawhney, Rakesh Kumar, Supun Samarasekera
  • Publication number: 20100092036
    Abstract: A system and method for detecting a target in imagery is disclosed. At least one image region exhibiting changes in at least intensity is detected from among at least a pair of aligned images. A distribution of changes in at least intensity inside the at least one image region is determined using an unsupervised learning method. The distribution of changes in at least intensity is used to identify pixels experiencing changes of interest. At least one target from the identified pixels is identified using a supervised learning method. The distribution of changes in at least intensity is a joint hue and intensity histogram when the pair of images pertain to color imagery. The distribution of changes in at least intensity is an intensity histogram when the pair of images pertain to grey-level imagery.
    Type: Application
    Filed: June 17, 2009
    Publication date: April 15, 2010
    Inventors: Subhodev Das, Yi Tan, Ming-Yee Chiu, Andrew Coppock, Feng Han
  • Patent number: 5953076
    Abstract: A system and method for realtime occlusion processing for seamlessly and realistically blending an inserted image such as an advertisement into a region of a live broadcast image without obscuring the action of the live image. The average color and intensity of a synthetic reference image containing at least some of the region to be replaced is compared to the average color and intensity of the current live broadcast image to determine the difference between the two images. The resulting difference image obtained from processing the current image and synthetic, reference image determines areas of the intended insertion region within the current image which are obscured by live action. The processor then generates an occlusion mask based on the difference image and only those pixels that are unoccluded within the intended insertion region are allowed to be inserted into the live broadcast.
    Type: Grant
    Filed: June 12, 1996
    Date of Patent: September 14, 1999
    Assignee: Princeton Video Image, Inc.
    Inventors: Brian Astle, Subhodev Das
  • Patent number: 5808695
    Abstract: A method for tracking motion from field to field in a sequence of related video broadcast images. The method uses template correlation to follow a set of predetermined landmarks within a scene in order to provide position information of objects in the current image. The current image object position information is compared to position information of the same objects within a reference array data table. The comparison is accomplished through the use of warp equations that map points in the current image to points in the reference array. Motion is tracked according to a velocity prediction scheme utilizing a weighted formula that emphasizes the weight of landmarks that are closer to their predicted position.
    Type: Grant
    Filed: December 29, 1995
    Date of Patent: September 15, 1998
    Assignee: Princeton Video Image, Inc.
    Inventors: Roy J. Rosser, Subhodev Das, Yi Tan
  • Patent number: 5627915
    Abstract: A system for inserting images into live video fields includes a method for rapidly and efficiently identifying landmarks and objects. Initially a first template, having a first pattern similar to one of the distinctive features of the object, is passed over the video field and compared to it in order to preliminarily identify at least one possible distinctive feature as a candidate. A second template is then created by taking one of the major elements of the distinctive feature candidate and extending that element all the way across the second template and then comparing it to the distinctive feature candidate. This eliminates one or more possible falsely identified features. A third template is then created having a pattern formed from another major element of said distinctive feature and extending it all the way across the third template. The third template is then likewise passed over the distinctive feature candidate and compared therewith in order to eliminate still further falsely identified features.
    Type: Grant
    Filed: January 31, 1995
    Date of Patent: May 6, 1997
    Assignee: Princeton Video Image, Inc.
    Inventors: Roy Rosser, Subhodev Das, Yi Tan, Peter von Kaenel