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Method for detecting and identifying targets based on component structure model

A technology of target detection and component structure, which is applied in the field of target detection and recognition systems in images and videos, can solve the problems of not being able to give spatial position relationships, artificial interference factors, etc., to reduce training complexity, reduce artificial interference factors, The effect of improving accuracy

Active Publication Date: 2012-12-12
北京腾瑞云文化科技有限公司
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AI Technical Summary

Problems solved by technology

[0006] In view of this, the main purpose of the present invention is to be able to give the various parts of the target and the spatial positional relationship between the various parts of the target, reduce the training complexity of the algorithm, and reduce the artificial interference factors. Target detection and recognition methods to solve the problems that the existing technology cannot give the various parts of the target and the spatial position relationship between the various parts of the target, the training complexity of the algorithm, and the problems of artificial interference factors

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  • Method for detecting and identifying targets based on component structure model
  • Method for detecting and identifying targets based on component structure model
  • Method for detecting and identifying targets based on component structure model

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Embodiment Construction

[0019] Various details involved in the technical solution of the present invention will be described in detail below in conjunction with the accompanying drawings. It should be pointed out that the described embodiments are only intended to facilitate the understanding of the present invention, rather than limiting it in any way.

[0020] Such as figure 1 A flow chart showing a new target detection and recognition method of the present invention, which combines the component structure model and cascaded classifiers, adopts a semi-supervised training method, and can detect objects with occlusion, background interference and deformation Accurately detect and identify the target. The invention can be used in target detection and recognition systems in images and videos. The present invention mainly has the following five features: one is to use the integral histogram to extract the gradient direction histogram features of the whole target and the different module sizes in each ...

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Abstract

The invention relates to a method for detecting and identifying targets based on a component structure model. The method comprises the following steps: extracting a target and the gradient direction histogram characteristics of different module dimensions in the parts of the target; respectively training the target and each part of the target to generate a boost cascade classifier, wherein the weak classifiers in the cascade classifier comprise the direction members of gradient direction histogram characteristic vectors; determining the position of the target in a manual labeling mode by adopting a semi-supervised training mode, wherein the position of each part of the target is determined by the position of modules at which the multiple weak classifiers with strong separating capacity are selected and the multiple weak classifiers are selected in the course of training the integral cascade classifier; training the space relation model between the target and each part of the target byadopting a star structure; respectively detecting the target and each part of the target through the boost cascade classifier to obtain a part detection cost graph; and then, realizing the detection and identification positioning of the target by utilizing the range conversion and the relevant position relation among the parts of the target.

Description

technical field [0001] The invention relates to the technical field of multimedia image and video retrieval systems. More specifically, the present invention relates to systems for object detection and recognition in images and videos. Background technique [0002] Object detection and recognition is one of the most challenging tasks in computer vision. How to solve the problem of accurately detecting and locating the target under the influence of scale transformation, perspective transformation, illumination, occlusion, background interference, etc. is a challenge. At present, various information media have developed rapidly, such as television, radio, network, wireless communication and so on. These information media are flooded with a large amount of information every day. How to effectively manage and monitor these information to ensure information security is gradually getting more attention. The target detection and recognition system based on the component structu...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06F17/30
Inventor 张树武夏晓珍梁伟
Owner 北京腾瑞云文化科技有限公司
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