Image recognition device, image recognition method, and image recognition program
Assigneec/o Honda elesys Co., Ltd.
InventorsTomokazu MITSUI, Hiroyuki AKIMOTO, Junji KANAMOTO
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Abstract
An image recognition device includes an image acquiring unit configured to acquire an image, and an object recognition unit configured to calculate gradient directions and gradient values of intensity of the image acquired by the image acquiring unit, to scan the gradient values of each acquired gradient direction with a window, to calculate a rectangular feature value, and to recognize a target object using a classifier based on the rectangular feature value.
Claims11
An image recognition device comprising:
- an image acquiring unit configured to acquire an image;
- and
- an object recognition unit configured to calculate gradient directions and gradient values of intensity of the image acquired by the image acquiring unit, to scan the gradient values of each acquired gradient direction with a window, to calculate a rectangular feature value, and to recognize a target object using a classifier based on the rectangular feature value.
An image recognition method comprising:
- causing an image acquiring unit to acquire an image;
- and
- causing an object recognition unit to calculate gradient directions and gradient values of intensity of the image acquired by the image acquiring unit, to scan the gradient values of each acquired gradient direction with a window, to calculate a rectangular feature value, and to recognize a target object using a classifier based on the rectangular feature value.
An image recognition program causing a computer to perform:
- a sequence of causing an image acquiring unit to acquire an image;
- and
- a sequence of causing an object recognition unit to calculate gradient directions and gradient values of intensity of the image acquired by the image acquiring unit, to scan the gradient values of each acquired gradient direction with a window, to calculate a rectangular feature value, and to recognize a target object using a classifier based on the rectangular feature value.
Dependencies are inferred from the claim text.