Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Depth-information-aided particle filter tracking method

A technology that assists particle filtering and depth information, applied in the fields of computer vision and pattern recognition, can solve the problems of amazing processing power and parallel operability

Inactive Publication Date: 2015-07-22
UNIV OF ELECTRONICS SCI & TECH OF CHINA
View PDF6 Cites 17 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

His introduction has challenged the calculation of traditional CPUs, and the processing power and parallel operability of GPUs on floating point data are amazing.

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
  • Depth-information-aided particle filter tracking method
  • Depth-information-aided particle filter tracking method
  • Depth-information-aided particle filter tracking method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0028] This embodiment provides a depth information-assisted particle filter tracking method, the process of which is as follows figure 1 As shown, the method includes the following steps:

[0029] Step 1: Use a front-end camera with a depth sensor, such as a Kinect camera; Kinect is a somatosensory game camera that can transmit rich video data. There is an electric motor between its base and the sensor, and the pitch angle can be adjusted through the program , there is an infrared emitter, a color camera, and an infrared receiver in the above sensor; the color camera is used to collect RGB data, and the 3D structured light depth sensor composed of the infrared emitter and the infrared receiver is used to acquire Depth data; in general, the Kinect camera can obtain three kinds of image information: 1. RGB image color data; 2. Image depth information data; 3. Image bone information;

[0030] In this embodiment, 3D information composed of RGB image color information and image d...

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 depth-information-aided particle filter tracking method. A camera like Kinect camera with a depth sensor is used for collecting images to obtain RGB (red-green-blue) and depth data. Particle filter tracking combining depth information is implemented by selecting a tracking target in a first frame to obtain tracking region window size, performing feature modeling on the tracking target according to RGB information of the selected target, a center point depth value and whole-region depth data, and continuing modeling of a next frame of images in the same way; then, calculating the window size of a description region of each particle according to different depth values of each particle at different positions and a depth value of the first frame so as to obtain region features; modeling in the same way as the first frame, comparing features of the next frame of images with those of the first frame so as to obtain optimal particle regions finally. The depth-information-aided particle filter tracking method has the advantage that target tracking accuracy and robustness are improved according to collected RGB-D (RGB-depth) information, namely, color and depth information.

Description

technical field [0001] The invention belongs to the technical field of computer vision and pattern recognition, and in particular relates to a depth-assisted particle filter tracking method. Background technique [0002] Computer vision is one of the rapidly growing fields in recent years. The purpose of his research is to enable computers to replace human senses, perceive the environment and make corresponding judgments. With the development of science and technology, the application of computer vision has become more and more extensive, whether in military industry or civilian use. Now in order to build a safe society, more and more surveillance cameras are installed in the streets and alleys. These monitoring systems rely on cameras to track the targets of interest, but how to track better and more accurately is a research point that researchers are very interested in. The basic idea of ​​target tracking is to determine the position and posture of the target in each fr...

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): G06T7/20
Inventor 李晓峰周洁芸陈海涛周宁
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com