Method for detecting and identifying targets based on component structure model

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...

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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