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"A Novel Motion Detection Method Using 3D Discrete Wavelet Transform"

Sahar Yousefi, M. T. Manzuri Shalmani, Jeremy Lin and Marius Staring

Abstract

The problem of motion detection has received considerable attention due to the explosive growth of its applications in video analysis and surveillance systems. While the previous approaches can produce good results, the accurate detection of motion remains a challenging task due to the difficulties raised by illumination variations, occlusion, camouflage, sudden motions appearing in burst, dynamic texture, and environmental changes such as those on weather conditions, sunlight changes during a day, etc. In this study, a novel per-pixel motion descriptor is proposed for motion detection in video sequences which outperforms the current methods in the literature particularly in severe scenarios. The proposed descriptor is based on two complementary three-dimensional discrete wavelet transforms (3D-DWT) and a three-dimensional wavelet leader. In this approach, a feature vector is extracted for each pixel by applying a novel three-dimensional wavelet-based motion descriptor. Then, the extracted features are clustered by the well-known K-means algorithm. The experimental results demonstrate the effectiveness of the proposed method compared to state-of-the-art approaches in several public benchmark datasets. The application of the proposed method and additional experimental results for several challenging datasets are available online.

 

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Copyright © 2019 by the authors. Published version © 2019 by . Personal use of this material is permitted. However, permission to reprint or republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works, must be obtained from the copyright holder.

 

BibTeX entry

@article{Yousefi:2019,
author = "{Sahar Yousefi and M. T. Manzuri Shalmani and Jeremy Lin and Marius Staring}",
title = "{A Novel Motion Detection Method Using 3D Discrete Wavelet Transform}",
journal = "{IEEE Transactions on Circuits and Systems for Video Technology}",
year = "{2019}",
}

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