Spatio-temporal wavelet transforms for image sequence analysis

J. Leduc, C. Labit
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引用次数: 3

Abstract

This paper intends to present an integrated approach of constructing new spatio-temporal wavelets for discrete signal analysis. The main illustrative field of applications considered here stands as the analysis of digital image sequences. Nevertheless, this can be readily extended to any kind of spatio-temporal signals. Continuous wavelet transforms, continuous series, discretized series and discrete transforms are considered here in an unified way. The analysis to be developed relies only on dynamic parameters like uniform translation and rotation, on kinematic parameters like velocity and speed and on structural parameters as scale and orientation. This digital processing intends to cover the detection and the focalization on motion-based regions of interest in order to perform tracking, classification, segmentation, multiscale trajectory construction and eventually a selective reconstruction of the useful content.
用于图像序列分析的时空小波变换
本文提出了一种构造新的时空小波的综合方法,用于离散信号分析。这里考虑的主要应用领域是数字图像序列的分析。然而,这可以很容易地扩展到任何类型的时空信号。这里统一考虑连续小波变换、连续级数、离散级数和离散变换。待开发的分析仅依赖于均匀平移和旋转等动态参数,速度和速度等运动学参数以及尺度和方向等结构参数。这种数字处理旨在涵盖基于运动的感兴趣区域的检测和聚焦,以便进行跟踪,分类,分割,多尺度轨迹构建,最终有选择性地重建有用的内容。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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