Chapter 4
Image Theory of RFID System Physical
Anti-Collision
In order to collect multi-tag data, this study designed the flat RFID system in the
previous article and designed a three-dimensional system based on this. Chapter 3
deblurred the motion blur caused by relative motion in the process of acquiring RFID
images. This chapter is based on acquiring the coordinates of the RFID tag group
using the system and image matching technology after acquiring a clear image of the
RFID tag. This chapter puts forward the research of RFID tag positioning method
based on three-dimensional space multi-tag positioning system, which solves the
problem of accurate identification of RFID multi-tag spatial distribution in a complex
environment, and provides an important reference for improving the research of RFID
tag reading performance.
4.1 Tag Distribution Based on Image Matching
In the last chapter, we solved the test method of tag group sensitivity and the influence
of different tag distributions on tag group sensitivity. When it is necessary to analyze
the performance of multiple tag groups, we use the means of image acquisition and
processing to confirm the tag position information and complete the evaluation of
tag group performance. In the third chapter of the RFID tag group dynamic test
system, the key tag features of the image are extracted by image feature matching
method for different positions, and the key tags in the complex environment are
effectively matched and located. This chapter verifies the feasibility of the image
feature matching method for tag cloud performance evaluation. In this chapter, we
propose an improved image matching algorithm, which combines the minimum
feature value algorithm to extract feature points and the direction gradient histogram
to calculate the description vector. The algorithm is optimized for RFID multi-tag
identification and allocation in actual scenarios. The traditional SURF algorithm has
the problems of low matching accuracy and high multi-tag matching complexity. This
© Science Press 2021
X. Yu et al., Physical Anti-Collision in RFID Systems,
https://doi.org/10.1007/978-981-16-0835-3_4
109
Image Theory of RFID System Physical
Anti-Collision
In order to collect multi-tag data, this study designed the flat RFID system in the
previous article and designed a three-dimensional system based on this. Chapter 3
deblurred the motion blur caused by relative motion in the process of acquiring RFID
images. This chapter is based on acquiring the coordinates of the RFID tag group
using the system and image matching technology after acquiring a clear image of the
RFID tag. This chapter puts forward the research of RFID tag positioning method
based on three-dimensional space multi-tag positioning system, which solves the
problem of accurate identification of RFID multi-tag spatial distribution in a complex
environment, and provides an important reference for improving the research of RFID
tag reading performance.
4.1 Tag Distribution Based on Image Matching
In the last chapter, we solved the test method of tag group sensitivity and the influence
of different tag distributions on tag group sensitivity. When it is necessary to analyze
the performance of multiple tag groups, we use the means of image acquisition and
processing to confirm the tag position information and complete the evaluation of
tag group performance. In the third chapter of the RFID tag group dynamic test
system, the key tag features of the image are extracted by image feature matching
method for different positions, and the key tags in the complex environment are
effectively matched and located. This chapter verifies the feasibility of the image
feature matching method for tag cloud performance evaluation. In this chapter, we
propose an improved image matching algorithm, which combines the minimum
feature value algorithm to extract feature points and the direction gradient histogram
to calculate the description vector. The algorithm is optimized for RFID multi-tag
identification and allocation in actual scenarios. The traditional SURF algorithm has
the problems of low matching accuracy and high multi-tag matching complexity. This
© Science Press 2021
X. Yu et al., Physical Anti-Collision in RFID Systems,
https://doi.org/10.1007/978-981-16-0835-3_4
109