Personnel indoor positioning method based on adaptive SIFI (scale invariant feature transform) algorithm

An indoor positioning and self-adaptive technology, applied in the field of image processing, can solve problems such as increased algorithm complexity, inability to take advantage of algorithm advantages, and high algorithm time overhead
CN102629329AInactive Publication Date: 2012-08-08BEIJING UNIV OF TECH
2 Cites 13 Cited by

Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
BEIJING UNIV OF TECH
Publication Date
2012-08-08
Estimated Expiration
Not applicable · inactive patent

Smart Images

  • Figure 1
    Figure 1
  • Figure 2
    Figure 2
  • Figure 3
    Figure 3
Patent Text Reader

Abstract

The invention provides a personnel indoor positioning method based on an adaptive SIFI (scale invariant feature transform) algorithm. The method is characterized by: firstly, carrying out feature extraction on an global motion image sequence; then, taking a correct matching point as a sample set to estimate a camera motion model so as to obtain an actual offset of a camera. In the method of the invention, a Lagrange parabola interpolation is introduced. Last three times of model matching results are used to predict an overlapping region of a reference frame image and a current frame image. On the overlapping region, feature points are extracted and feature matching is performed so that a lot of information redundancies in a video image sequence can be eliminated, a processing speed of the each frame image can be accelerated, the validity of the feature points to be matched can be increased and mismatching can be reduced. Therefore, the algorithm is accurate and real-time and can be used for the indoor personnel positioning system.
Need to check novelty before this filing date? Find Prior Art

Description

Technical field

[0001] The invention belongs to the field of image processing. It is a method of estimating global motion by computer technology, image capturing technology and digital image processing technology to realize the automatic positioning of indoor personnel. This method realizes the automatic analysis of the video motion image sequence, finds out its motion law, and determines the specific location of the target. Background technique

[0002] Global motion is a motion mode caused by changes in camera position or parameters. It includes motion-based scene analysis, understanding, and three-dimensional motion analysis. It is currently mainly used for video coding, mobile robot visual navigation, target tracking and recognition Wait. Estimating the two-dimensional parameter model of the global motion video sequence image is the global motion estimation, and its purpose is to finally restore the motion state of the camera through the analysis of the motion state of the ...

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