Image recognition method and image recognition system
AssigneeASUSTeK COMPUTER INC.
InventorsKuan-Hsien LIU, Ding-Chia KAO
Life of this patent
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Abstract
An image recognition method includes the following steps: capturing a plurality of images; analyzing the images to get a target object; analyzing the target object to get color information and characteristic information; statistically computing a current image according to the color information and the characteristic information to get a probability distribution map; comparing a difference between the current image and a previous image of the current imago to get dynamic information; and recognizing the target object according to the probability distribution map and the dynamic information.
Claims10
An image recognition method, comprising:
- capturing a plurality of images;
- analyzing the images to get a target object;
- analyzing the target object to get color information and characteristic information;
- calculating a current image according to the color information and the characteristic information to get a probability distribution map;
- comparing a difference between the current image and a previous image of the current image to get dynamic information;
- and
- recognizing the target object according to the probability distribution map and the dynamic information.
An image recognition system, comprising:
- an image acquiring device used for capturing a plurality of images;
- and
- a processor electrically coupled to the image acquiring device and used for executing a plurality of instructions, wherein the instructions include:
- analyzing the images to get a target object;
- analyzing the target object to get color information and characteristic information;
- calculating a current image according to the color information and the characteristic information to get a probability distribution map;
- comparing a difference between the current image, a previous image of the current image to get dynamic information;
- and
- recognizing the target object according to the probability distribution map and the dynamic information.
Dependencies are inferred from the claim text.