Method and system for classifying objects in image

Abstract

The invention discloses a method and a system for classifying objects in an image. The method comprises the following steps: in step A, the objects in the image are subjected to coarse positioning operation, and regional positions of the objects can be roughly determined; in step B, possible position areas of the objects are determined based on coarse object positioning operation, the possible position areas covering the objects are subjected to marking and assessing operation, an object mapping graph-similar graph is drawn and subjected to salient object optimization operation, and therefore an object mapping graph can be obtained; binarized and segmented image object outlines are searched so as to determine accurate areas of the objects; in step C, according to the accurate areas of the objects in the image, character parameters are calculated or trained identifying models are input, and the objects are classified or identified. According to the method and the system for classifying the objects in the image, a frame of coarse positioning before accurate positioning is put forward, a plurality of possible areas that the objects might exist are calculated on the image according to image edge characters, and accurate positions of the objects can be determined via an object saliency mapping graph calculating mode.

Description

technical field [0001] The invention relates to a method and system for classifying objects in an image. Background technique [0002] As a kind of unstructured data, pictures and videos bring great challenges to people's quick browsing and retrieval. Especially in the Internet video industry and the dedicated video surveillance industry, there are massive video data, and it will be very time-consuming for people to browse and find specific targets in the massive pictures in the video or the Internet. There is an urgent need for artificial intelligence technology to be applied to the structured processing of videos and pictures. Therefore, there is a need in the prior art to accurately locate and identify objects in an image and classify them accordingly. Contents of the invention [0003] In order to solve the above problems, the present invention obtains the precise position area of ​​the target on the image through the technology of rough positioning first and then pr...

AI Technical Summary

Problems solved by technology

[0002] As a kind of unstructured data, pictures and videos bring great challenges to people's quick browsing and retrieval

Especially in the Internet video industry and the dedicated video surveillance industry, there are massive video data. It will be very time-consuming for people to browse and find specific targets in videos or massive pictures on the Internet.

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