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다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
NTIS 바로가기다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
DataON 바로가기다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
Edison 바로가기다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
Kafe 바로가기국가/구분 | United States(US) Patent 등록 |
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국제특허분류(IPC7판) |
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출원번호 | US-0351762 (2009-01-09) |
등록번호 | US-RE42256 (2011-03-15) |
발명자 / 주소 |
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출원인 / 주소 |
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대리인 / 주소 |
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인용정보 | 피인용 횟수 : 318 인용 특허 : 0 |
A background subtraction apparatus of the present invention includes a key point locator for locating key points on a known object type, a boundary point locator for locating boundary points of the known object that make up the edges of the known object, and an edge processor for processing the edge
A background subtraction apparatus of the present invention includes a key point locator for locating key points on a known object type, a boundary point locator for locating boundary points of the known object that make up the edges of the known object, and an edge processor for processing the edges to provide a clean-edged extraction of the known object from a background image. Preferably, the key point locator includes an alignment detector for detecting alignment of an image of the known object type with a skeleton image. Still more preferably, the skeleton image is an exoskeleton image and the known object type is a human being.
What is claimed is: 1. A method for subtracting a background comprising:locating key points on an image of a known object type; determining line segments between the key points; locating boundary points of the image that comprise edges of the known object by using the line segments; eliminating pix
What is claimed is: 1. A method for subtracting a background comprising:locating key points on an image of a known object type; determining line segments between the key points; locating boundary points of the image that comprise edges of the known object by using the line segments; eliminating pixel gaps between the boundary points; connecting the boundary points to obtain a closed loop of pixels; processing the edges to provide a clean-edged extraction of the image from a background image, including using an alpha image to determine a key point, which is selected based on a similarity score for a region in the alpha image; and reducing noise from the edges of the known object, after determining the key points, using an edge strength, the alpha image, and the line segments by aligning a snake to the line segments; wherein at least one key point is located based at least in part on a key point template comprising a plurality of pixels and specially configured for that key point; and wherein the pixels in the specially configured key point template that make up a shape associated with the key point have a first value and the other pixels in the specially configured key point template have a second value.
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