Computerized method and apparatus for determining field-of-view relationships among multiple image sensors
First Claim
1. A computerized method of image analysis comprising:
- a) receiving first image data for a plurality of first video frames representing a first scene, wherein (i) each first video frame comprises a plurality of image regions and (ii) a first object is present in an image region of at least one first video frame;
b) receiving second image data for a plurality of second video frames representing a second scene, wherein (i) each second video frame comprises a plurality of image regions and (ii) a second object is present in an image region of at least one second video frame; and
c) determining (i) a relationship between first and second image regions of the plurality of image regions of the first and second video frames based on a probabilistic correlation between occurrences of the first object being present in the first image region and occurrences of the second object being present in the second image region and (ii) a lift associated with the first object being present in the first image region and the second object being present in the second image region.
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Abstract
A computerized method of image analysis that includes receiving first image data for a plurality of first video frames representing a first scene. Each first video frame is composed of a plurality of image regions, and a first object is present in an image region of at least one first video frame. Second image data is received for a plurality of second video frames representing a second scene. Each second video frame is composed of a plurality of image regions, and a second object is present in an image region of at least one second video frame. The method also includes determining a relationship between a first image region and a second image region based on a probabilistic correlation between occurrences of the first object being present in the first image region and occurrences of the second object being present in the second image region.
110 Citations
48 Claims
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1. A computerized method of image analysis comprising:
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a) receiving first image data for a plurality of first video frames representing a first scene, wherein (i) each first video frame comprises a plurality of image regions and (ii) a first object is present in an image region of at least one first video frame; b) receiving second image data for a plurality of second video frames representing a second scene, wherein (i) each second video frame comprises a plurality of image regions and (ii) a second object is present in an image region of at least one second video frame; and c) determining (i) a relationship between first and second image regions of the plurality of image regions of the first and second video frames based on a probabilistic correlation between occurrences of the first object being present in the first image region and occurrences of the second object being present in the second image region and (ii) a lift associated with the first object being present in the first image region and the second object being present in the second image region. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17)
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18. A surveillance system comprising:
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a) a first memory module for receiving first image data for a plurality of first video frames representing a first scene, wherein (i) each first video frame comprises a plurality of image regions and (ii) a first object is present in an image region of at least one first video frame; b) a second memory module for receiving second image data for a plurality of second video frames representing a second scene, wherein (i) each second video frame comprises a plurality of image regions and (ii) a second object is present in an image region of at least one second video frame; and c) a processing module for determining (i) a relationship between first and second image regions of the plurality of image regions of the first and second video frames based on a probabilistic correlation between occurrences of the first object being present in the first image region and occurrences of the second object being present in the second image region and (ii) a lift associated with the first object being present in the first image region and the second object being present in the second image region. - View Dependent Claims (19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34)
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35. A computerized method of image analysis comprising:
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a) receiving first image data for a plurality of first video frames representing a first scene, wherein (i) each first video frame comprises a plurality of image regions and (ii) a first object is present in an image region of at least one first video frame; b) receiving second image data for a plurality of second video frames representing a second scene, wherein (i) each second video frame comprises a plurality of image regions and (ii) a second object is present in an image region of at least one second video frame; c) providing a plurality of attributes for the first and second objects; d) counting for each of the plurality of attributes, the number of occurrences of at least one of the first and second objects having such attribute being present in the first and second image regions; and e) determining a relationship between first and second image regions of the plurality of image regions of the first and second video frames based on a probabilistic correlation between occurrences of the first object being present in the first image region and occurrences of the second object being present in the second image region. - View Dependent Claims (36, 37)
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38. A computerized method of image analysis comprising:
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a) receiving first image data for a plurality of first video frames representing a first scene, wherein (i) each first video frame comprises a plurality of image regions and (ii) a first object is present in an image region of at least one first video frame; b) receiving second image data for a plurality of second video frames representing a second scene, wherein (i) each second video frame comprises a plurality of image regions and (ii) a second object is present in an image region of at least one second video frame; c) determining a relationship between first and second image regions of the plurality of image regions of the first and second video frames based on a probabilistic correlation between occurrences of the first object being present in the first image region and occurrences of the second object being present in the second image region. d) determining that the first object present in one first video frame was not present in a preceding first video frame; and e) correlating the first object with the second object present in the second video frames based on the determined relationship.
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39. A computerized method of image analysis comprising:
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a) receiving first image data for a plurality of first video frames representing a first scene, wherein (i) each first video frame comprises a plurality of image regions and (ii) a first object is present in an image region of at least one first video frame; b) receiving second image data for a plurality of second video frames representing a second scene, wherein (i) each second video frame comprises a plurality of image regions wherein each image region has a location in one of the plurality of first and second video frames that is substantially the same across the plurality of first and second video frames and (ii) a second object is present in an image region of at least one second video frame; and c) determining a relationship between first and second image regions of the plurality of image regions of the first and second video frames based on a probabilistic correlation between occurrences of the first object being present in the first image region and occurrences of the second object being present in the second image region. - View Dependent Claims (40, 41)
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42. A surveillance system comprising:
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a) a first memory module for receiving first image data for a plurality of first video frames representing a first scene, wherein (i) each first video frame comprises a plurality of image regions and (ii) a first object is present in an image region of at least one first video frame; b) a second memory module for receiving second image data for a plurality of second video frames representing a second scene, wherein (i) each second video frame comprises a plurality of image regions and (ii) a second object is present in an image region of at least one second video frame; and c) a processing module for (i) providing a plurality of attributes for objects, (ii) counting for each of the plurality of attributes, the number of occurrences of an object having such attribute being present in the first and second image regions, and (iii) determining a relationship between first and second image regions of the plurality of image regions of the first and second video frames based on a probabilistic correlation between occurrences of the first object being present in the first image region and occurrences of the second object being present in the second image region. - View Dependent Claims (43, 44)
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45. A surveillance system comprising:
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a) a first memory module for receiving first image data for a plurality of first video frames representing a first scene, wherein (i) each first video frame comprises a plurality of image regions and (ii) a first object is present in an image region of at least one first video frame; b) a second memory module for receiving second image data for a plurality of second video frames representing a second scene, wherein (i) each second video frame comprises a plurality of image regions and (ii) a second object is present in an image region of at least one second video frame; and c) a processing module for (i) determining a relationship between first and second image regions of the plurality of image regions of the first and second video frames based on a probabilistic correlation between occurrences of the first object being present in the first image region and occurrences of the second object being present in the second image region, (ii) determining that the first object present in one first video frame was not present in a preceding first video frame and (iii) correlating the first object with the second object present in the second video frames based on the determined relationship.
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46. A surveillance system comprising:
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a) a first memory module for receiving first image data for a plurality of first video frames representing a first scene, wherein (i) each first video frame comprises a plurality of image regions and (ii) a first object is present in an image region of at least one first video frame; b) a second memory module for receiving second image data for a plurality of second video frames representing a second scene, wherein (i) each second video frame comprises a plurality of image regions, wherein each image region has a location in one of the plurality of first and second video frames that is substantially the same across the plurality of first and second video frames, and (ii) a second object is present in an image region of at least one second video frame; and c) a processing module for determining a relationship between first and second image regions of the plurality of image regions of the first and second video frames based on a probabilistic correlation between occurrences of the first object being present in the first image region and occurrences of the second object being present in the second image region. - View Dependent Claims (47, 48)
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Specification