A moving target tracking method based on a Camshift algorithm

Abstract

The invention discloses a moving target tracking method based on a Camshift algorithm. The method comprises the following steps: acquiring a video image, and preprocessing the image; detecting the moving target by using a target detection algorithm; converting the video image into an HSV model, adopting a color probability histogram statistical method for the target, carrying out reverse projection, and obtaining the size of a target feature template and the size of an initial search box; adopting a Camshift algorithm to calculate and adjust the search box size and the mass center coordinate of the next frame, and updating the feature template; predicting the mass center coordinate of the next frame, and feeding back a result to a Camshift algorithm; judging whether the moving target encounters interference or not to determine a fusion coefficient so as to determine the size and position of a search box of each frame and realize accurate tracking of the moving target; and obtaining thenext frame of image, updating the target feature model, and repeating the above process until the tracking of the moving target is completed. According to the invention, the accuracy and real-time performance of moving target tracking are improved.

Description

technical field [0001] The invention belongs to the technical field of moving target tracking, in particular to a moving target tracking method based on Camshift algorithm. Background technique [0002] Moving object tracking is an important branch in the field of computer vision. It is an interdisciplinary new technology, involving image processing, artificial intelligence, pattern recognition, automatic control and other fields. Moving target tracking has high practicability and a wide range of applications, and has been widely used in military, national defense, security and civilian fields. It is precisely because of the wide range of applications of the target tracking system that it has received close attention from scientific researchers from all over the world, and has gradually become the research focus in the field of machine vision. At present, the development trend of target tracking technology in the field of machine vision is mainly manifested in the fusion of...

AI Technical Summary

Problems solved by technology

[0006] Nowadays, object tracking technology has been fully developed, but due to the changeable tracking scenarios and the complex real environment, the research of object tracking still has challenges.

Each algorithm has its own unique advantages, but it also has limitations. It is difficult for a single tracking algorithm to meet the requirements of real-time performance, accuracy and stability at the same time.

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