SYSTEMS AND METHODS FOR TRANSFORMING 2D IMAGE DOMAIN DATA INTO A 3D DENSE RANGE MAP
First Claim
1. A method of transforming two-dimensional image domain data into a 3D dense range map, the method comprising the steps of:
- acquiring an image frame from an image sensor;
selecting at least one region of interest within the image frame;
determining the geo-location of three or more reference points within each selected region of interest; and
transforming 2D image domain data from each selected region of interest into a 3D dense range map containing physical features of one or more objects within the image frame.
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Abstract
Systems and methods for transforming two-dimensional image data into a 3D dense range map are disclosed. An illustrative method may include the steps of acquiring at least one image frame from an image sensor, selecting at least one region of interest within the image frame, determining the geo-location of three or more reference points within each selected region of interest, and transforming 2D image domain data from each selected region of interest into a 3D dense range map containing physical features of one or more objects within the image frame. The 3D dense range map can be used to calculate physical feature vectors of objects disposed within each defined region of interest. An illustrative video surveillance system may include an image sensor adapted to acquire images from at least one region of interest, a graphical user interface for displaying images acquired from the image sensor within an image frame, and a processor for determining the geo-location of one ore more objects within the image frame. The processor can be configured to run an algorithm or routine adapted to transform two-dimensional data received from the image sensor into a 3D range map containing physical features of one or more objects within the image frame.
50 Citations
20 Claims
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1. A method of transforming two-dimensional image domain data into a 3D dense range map, the method comprising the steps of:
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acquiring an image frame from an image sensor;
selecting at least one region of interest within the image frame;
determining the geo-location of three or more reference points within each selected region of interest; and
transforming 2D image domain data from each selected region of interest into a 3D dense range map containing physical features of one or more objects within the image frame. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11)
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12. A method of transforming two-dimensional image domain data into a 3D dense range map, the method comprising the steps of:
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acquiring an image frame from an image sensor;
establishing a 3D coordinate system for the image sensor;
manually segmenting at least one region of interest within the image frame and defining a polygonal zone therein using a graphical user interface;
determining the geo-location of three or more reference points within each segmented region of interest;
transforming 2D image domain data from each selected region of interest into a 3D dense range map containing physical features of one or more objects within the image frame;
calculating a feature vector including one or more physical features from each region of interest defined in the image frame;
analyzing a number of successive image frames from the image sensor and determining the geo-location of one or more objects within each successive image frame; and
dynamically updating the 3D dense range map with the one or more physical features from each successive image frame.
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13. A video surveillance system, comprising:
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an image sensor adapted to acquire images containing at least one region of interest;
display means for displaying images acquired from the image sensor within an image frame; and
processing means for determining the geo-location of one or more objects within the image frame, said processing means configured to run an algorithm or routine adapted to transform two-dimensional image data received from the image sensor into a 3D dense range map containing physical features of one or more objects within the image frame. - View Dependent Claims (14, 15, 16, 17, 18, 19, 20)
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Specification