Object detection method and system for scene change analysis in TV and IR data
First Claim
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1. A method of performing object detection for scene change analysis in Infrared camera data comprising the steps of:
- a) acquiring two Infrared camera images of a scene from identical view points at different times;
b) determining a change region corresponding to an object that is present in one image but absent in the other image;
c) applying a statistical test to the two images within the change region to detect objects;
d) analyzing motion of said objects;
e) generating a symbolic motion description of object motion; and
f) placing index marks in said symbolic motion description to identify occurrence of events in the video.
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Abstract
Object detection for scene change analysis is performed by a statistical test applied to data extracted from two images taken from the same scene from identical viewpoints. It is assumed that a single change region corresponding to an object that is present in one image but absence in the other is given. In the case of TV data, the test consists of measuring the coincidence of edge pixels in each image with the boundary of the change region. In the case of IR data, the tests consist of measuring the pixel intensity variance within the change region in each image.
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Citations
21 Claims
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1. A method of performing object detection for scene change analysis in Infrared camera data comprising the steps of:
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a) acquiring two Infrared camera images of a scene from identical view points at different times; b) determining a change region corresponding to an object that is present in one image but absent in the other image; c) applying a statistical test to the two images within the change region to detect objects; d) analyzing motion of said objects; e) generating a symbolic motion description of object motion; and f) placing index marks in said symbolic motion description to identify occurrence of events in the video. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14)
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15. A method of performing object detection for scene change in video IR data comprising the steps of:
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a) acquiring two IR images of a scene from identical view points at different items; b) determining a change region corresponding to an object that is present in one image but absent in the other image; c) applying a statistical test to the two images within the change region to detect objects; d) analyzing motion of said objects; e) generating a symbolic motion description of object motion; f) placing index marks in said symbolic motion description to identify occurrence of events in video; g) receiving content-base queries; h) matching queries with symbolic video information and said index marks; and i) providing video sequences corresponding to the query. - View Dependent Claims (16, 17, 18, 19, 20)
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21. A system for providing video indexing of IR images comprising:
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a) means for acquiring two IR images of a scene from identical view points at different times; b) means for determining a change region corresponding to an object that is present in one image but absent in the other image; c) means for determining pixel intensity variance within the change region to detect objects; d) means for analyzing motion of said objects; e) means for generating a symbolic motion description of object motion; and f) means for placing index marks in said symbolic motion description to identify occurrence of events in the video.
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Specification