Moving Target Detection Algorithm Based on SIFT Feature Matching-Reference-Cited by-同舟云学术

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Moving Target Detection Algorithm Based on SIFT Feature Matching

Published:2022-06 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Frontiers of Artificial Intelligence and Machine Learning (FAIML)
language:
Short-container-title:

Author:

Song Kunwei¹,Zhu Fangrong²,Song Linlin³

Affiliation:

1. Shenyang University of Technology,Department of Computer Science and Technology,Shenyang,China

2. Guizhou University,Department of Telecommunications engineering,Guiyang,China

3. Guizhou Normal University,Department of Modern, Educational Technology,Guiyang,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9969169/9968314/09969221.pdf?arnumber=9969221

Reference18 articles.

1. Improved Alpha Residuals for Target Detection in Thermal Hyperspectral Imaging

2. Robust Joint Target Detection and Tracking for Space Situational Awareness

3. Structure Preservative for Hyperspectral Target Detection[J];manifold;Advances in Space Research,2018

4. A New Sample Consensus Based on Sparse Coding for Improved Matching of SIFT Features on Remote Sensing Images

5. Local descriptor for retinal fundus image registration

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1. Large Model based Sequential Keyframe Extraction for Video Summarization;International Conference on Computing, Machine Learning and Data Science;2024-04-12

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