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2020 | OriginalPaper | Chapter

Secondary Filter Keyframes Extraction Algorithm Based on Adaptive Top-K

Authors : Yan Fu, Chunlin Xu, Mei Wang

Published in: 2nd EAI International Conference on Robotic Sensor Networks

Publisher: Springer International Publishing

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Abstract

As the coal mine environment is similar to night-time, there is less discernible information, which makes the coal mine video images collected by the camera have a high level of redundancy, less available information, obvious light spots, and noise interference, which are not conducive to extracting useful information from the video. In view of the above problems, a keyframes extraction algorithm for coal mine video images based on a secondary filter with adaptive Top-K is proposed. The algorithm calculates the eigenvalues of the feature points using the principal component analysis method, then filters the eigenvalues by the threshold of adaptive Top-K to extract the effective keyframes of the coal mine image. The experimental results show that the algorithm can extract the keyframes more accurately using the adaptive threshold method.

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Metadata
Title
Secondary Filter Keyframes Extraction Algorithm Based on Adaptive Top-K
Authors
Yan Fu
Chunlin Xu
Mei Wang
Copyright Year
2020
Book
2nd EAI International Conference on Robotic Sensor Networks

Print ISBN: 978-3-030-17762-1

Electronic ISBN: 978-3-030-17763-8

Copyright Year: 2020

DOI
https://doi.org/10.1007/978-3-030-17763-8_16