A moving target tracking method based on a Camshift algorithm

A moving target and algorithm technology, applied in the field of moving target tracking based on the Camshift algorithm, can solve the problems that the tracking algorithm is difficult to meet the requirements of real-time, accuracy and stability at the same time, the tracking scene is changeable, and the real environment is complex.

Pending Publication Date: 2019-05-28
NANJING UNIV OF SCI & TECH
View PDF1 Cites 13 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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.
Eac...

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A moving target tracking method based on a Camshift algorithm
  • A moving target tracking method based on a Camshift algorithm
  • A moving target tracking method based on a Camshift algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0125] Firstly, the camera collects a video image sequence with a complex background and obstacles encountered during the movement of the target, and then comprehensively processes the video image sequence on the Matlab2017a and Visual Studio 2013 platforms.

[0126] Such as figure 1 Shown, a kind of moving target tracking method based on Camshift algorithm of the present invention comprises the following steps:

[0127] Step 1: Image preprocessing: use the camera to collect video images, use the weighted average method to grayscale the images, and further filter the images to remove image noise to obtain image and video sequences with better effects;

[0128] Step 2: Detection of moving targets: manually calibrate the tracking target, first use the two-frame difference method to obtain the preliminary detection results; then use the two-frame difference images to obtain three-frame difference images, and use the Canny edge detection algorithm for the two-frame difference imag...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

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...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06T7/246G06T7/254G06T7/277G06T5/00G06T5/40G06T7/12
Inventor 徐倩黄成曹腾达张甲豪程书稳徐志良
Owner NANJING UNIV OF SCI & TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap