Scale adaptive target tracking method applied to mine laneway mobile inspection image

A scale-adaptive, target-tracking technology, applied in the field of target tracking, can solve problems such as inability to obtain better tracking effects, and achieve the effects of good scale characteristics, strong robustness, and good representation ability

Active Publication Date: 2019-11-08
CHINA UNIV OF MINING & TECH
View PDF7 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0008] In view of the above analysis, the present invention aims to provide a scale-adaptive target tracking method applied to mine roadway mobile inspection images, to solve the

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
  • Scale adaptive target tracking method applied to mine laneway mobile inspection image
  • Scale adaptive target tracking method applied to mine laneway mobile inspection image
  • Scale adaptive target tracking method applied to mine laneway mobile inspection image

Examples

Experimental program
Comparison scheme
Effect test

Example Embodiment

[0064] The preferred embodiments of the present invention will be described below in detail with reference to the accompanying drawings. The accompanying drawings constitute a part of this application and are used together with the embodiments of the present invention to explain the principle of the present invention, and are not used to limit the scope of the present invention.

[0065] A specific embodiment of the present invention discloses a scale-adaptive target tracking method applied to moving inspection images of mine tunnels, which is characterized in that it includes the following steps:

[0066] Step S1: Receive the current video frame of the mine tunnel moving inspection video frame sequence, and obtain the image block to be detected in the current video frame according to the target tracking position and scale information of the previous frame;

[0067] Step S2: Extract HOG (Histogram of OrientedGradient, directional gradient histogram feature) features and LQC (Local Qua...

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 relates to a scale adaptive target tracking method applied to a mine laneway mobile inspection image, belongs to the technical field of target tracking, and solves the problem that an existing mine target tracking algorithm cannot obtain a better tracking effect in scenes such as violent target change, shielding and background interference. The scale adaptive target tracking method comprises the following steps: receiving a current video frame of a mine laneway mobile inspection video frame sequence, and obtaining a to-be-detected image block in the current video frame accordingto a target tracking position and scale information of a previous frame; extracting HOG features and LQC features of a to-be-detected image block in the current video frame, and obtaining an HOG feature response graph and an LQC feature response graph through calculation by means of an HOG feature correlation filter and an LQC feature correlation filter respectively; performing weighted fusion response on the HOG feature response graph and the LQC feature response graph, and determining a maximum value position in a weighted fusion response result as a target position of the current video frame; and performing scale estimation on the target position by using a scale filter to obtain scale information of the current video frame.

Description

technical field [0001] The invention relates to the technical field of target tracking, in particular to a scale-adaptive target tracking method applied to moving inspection images of mine roadways. Background technique [0002] The coal mining industry occupies an important strategic position in my country, is an important industry of the national economy, and is also the source of most energy demand. In order to ensure the healthy development of the coal industry, the security of normal work in mines and the safety of personnel have become the most important issues of social concern. In recent years, the emergence of the mine Internet of Things and the concept of intelligent mines has brought intelligent coal mining technology to a new level, which can carry out digital video monitoring of the coal mining process, thereby ensuring the safety of mine work. Mine roadway mobile inspection is an important means to improve the safety management level of coal mines. Through int...

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): G06T7/246G06T7/269G06K9/46
CPCG06T7/246G06T7/269G06T2207/10016G06T2207/20081G06V10/507G06V10/467G06V10/44G06V10/462
Inventor 程德强唐世轩陈亮亮文小顺高蕊姚洁寇旗旗
Owner CHINA UNIV OF MINING & 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