Method for detecting targets based on components

Abstract

The invention discloses a method for detecting targets based on components. The method mainly solves the problems that a target component detection algorithm is high in calculating complexity, narrow in application range, and inaccurate in target space structure. The method includes the steps of marking a training image; constructing a target space structure; calculating space structure model parameters; calculating appearance model parameters; transmitting model parameters; collecting a detected image; initializing target-detected parameters; obtaining central component transmitting position coordinates; determining whether to record the central component transmitting position coordinates for the first time; obtaining a similar component position coordinate set; obtaining a final component position coordinate set; and displaying detected results. The method for detecting targets based on components accurately expresses the target space structure, improves the detection speed and extends the application range of the target component detection algorithm.

Description

technical field [0001] The invention belongs to the technical field of image processing, and further relates to a component-based object detection method. The invention can be used in the fields of intelligent transportation, access control detection and the like to determine the position and occupied area of ​​the target in the collected image. Background technique [0002] Target detection refers to the process of determining the position, size, and pose of the target in the detected image. Target detection is a key technology in information processing, and many application fields now require target detection methods to detect targets quickly and accurately. A series of problems faced thus make target detection begin to be paid attention to by researchers as an independent subject. [0003] Component-based object detection technology is a kind of object detection method that originated very early and only recently emerged. This method combines the apparent features and ...

AI Technical Summary

Problems solved by technology

Although this method uses a star structure to express the spatial structure of the target, and uses distance transformation technology for fast target detection, there are still shortcomings in this patent application: the use of a star structure to represent the spatial structure of the target is not accurate enough, which will lead to detection results Not accurate enough; in addition, before using distance transformation to detect the target, it is necessary to obtain the detection cost map of the target as a whole and each part of the target, which will seriously affect the detection efficiency

Although the k-fans structure used in this method can express the spatial structure of the target more accurately, there are still shortcomings: when there is a loop in the k-fans structure, the distance transformation technology cannot be used for fast target detection. This seriously affects the scope of application of this method

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