IMAGE PROCESSING EQUIPMENT
First Claim
1. An image processing equipment for performing kernel discriminant analysis based on a photographed image of an object comprising:
- an input feature vector generation unit for generating, based on data related to said image, an input feature vector including as elements a size of said object, a side portion shape of said object, and an upper portion shape of said object;
a discriminant analysis operations unit for generating a vector mapped to a discriminant space, through performing the operations for kernel discriminant analysis based on said input feature vector; and
an object determination unit for determining whether said object is a pedestrian or not, according to whether or not the vector mapped to said discriminant space exists within a fixed area at the discriminant space.
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Accused Products
Abstract
A design for the high speed identification of a pedestrian at an image is provided, having an input feature vector generation unit 23b for generating, based on an image of an object, an input feature vector u that includes as elements the object'"'"'s size, the object'"'"'s upper portion shape, and the object'"'"'s side portion shape; a kernel discriminant analysis operations unit 23c for generating a vector y mapped to the discriminant space, through performing operations for kernel discriminant analysis based on the input feature vector, and an object determination unit 23d for determining whether the object is a pedestrian or not, depending on whether or not this vector y is within a fixed area at the discriminant space.
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Citations
18 Claims
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1. An image processing equipment for performing kernel discriminant analysis based on a photographed image of an object comprising:
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an input feature vector generation unit for generating, based on data related to said image, an input feature vector including as elements a size of said object, a side portion shape of said object, and an upper portion shape of said object;
a discriminant analysis operations unit for generating a vector mapped to a discriminant space, through performing the operations for kernel discriminant analysis based on said input feature vector; and
an object determination unit for determining whether said object is a pedestrian or not, according to whether or not the vector mapped to said discriminant space exists within a fixed area at the discriminant space. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17)
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18. An image processing equipment for distinguishing pedestrians based on a photographed image of an object comprising:
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an input feature vector generation unit for generating, based on data related to said image, an input feature vector including as elements said objects size, said object'"'"'s upper portion shape, and said object'"'"'s side portion shape;
an operations unit for generating a vector mapped to a specified space, based on said input feature vector; and
an object determination unit for determining whether said object is a pedestrian or not, depending on whether or not the vector mapped to said specified space is within a specified area at the space, which has established an identification boundary.
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Specification