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Neural network system, image analysis method and device based on neural network system

A neural network, image analysis technology, applied in the field of image analysis, neural network system

Active Publication Date: 2018-06-05
HUAWEI TECH CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The present invention provides a neural network system, an image analysis method and device based on the neural network system, which can solve the analysis problem when the target object is blocked, and make the analysis result more accurate

Method used

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  • Neural network system, image analysis method and device based on neural network system
  • Neural network system, image analysis method and device based on neural network system

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Embodiment Construction

[0167] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0168] figure 1 It is a flowchart of an embodiment of the image analysis method based on the neural network system of the present invention, such as figure 1 As shown, the method of this embodiment may include:

[0169] Step 101, the neural network system acquires the first visual feature vector x of the target thing.

[0170] In this embodimen...

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Abstract

An embodiment of the present invention provides a neural network system, an image analysis method and device based on a neural network system, including: the neural network system acquires the first visual feature vector x of the target object, and the occlusion estimation subnetwork of the neural network system Determine the occlusion mark vector xo of the occluded part of the target object according to the first visual feature vector x of the target thing, and the occlusion completion sub-network determines the completion according to the first visual feature vector x and the occlusion mark vector xo The third visual feature vector xc of the target thing after the occlusion part, the decomposition sub-network determines the class label images of each part of the target thing according to the third visual feature vector xo, and combines the images of each part The class label image obtains the parsing result of the target thing. The above method can solve the image analysis problem when the target object is occluded, and even if the target object is occluded, the analysis result of the target object can be obtained accurately.

Description

technical field [0001] The invention relates to data communication technology, in particular to a neural network system, an image analysis method and device based on the neural network system. Background technique [0002] Pedestrian target parsing is to decompose a pedestrian image into regions with specific semantics, such as hair, torso, arms, legs, etc. After the pedestrian target is analyzed, it can be conveniently used in various pedestrian target analysis and understanding tasks such as pedestrian pose estimation and behavior analysis. It has important application value in image and video search, video surveillance and other methods. The problem of pedestrian target analysis is very challenging, not only because pedestrians have great changes in appearance, posture, shape, etc., but also pedestrian images captured in real environments such as video surveillance often have large occlusions and clutter. background. [0003] The existing pedestrian target analysis meth...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06N3/02G06K9/66G06K9/00
CPCG06V40/103
Inventor 罗平王晓刚梁炎刘健庄汤晓鸥
Owner HUAWEI TECH CO LTD
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