Temporal Scale and Shift Invariant Automatic Event Recognition using the Mellin Transform

Fuente: arXiv
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Main Authors: Shen, Xi, Gamboa, Julian, Hamidfar, Tabassom, Mitu, Shamima A., Shahriar, Selim M.
Format: Preprint
Published: 2025
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_version_ 1866910827298160640
author Shen, Xi
Gamboa, Julian
Hamidfar, Tabassom
Mitu, Shamima A.
Shahriar, Selim M.
author_facet Shen, Xi
Gamboa, Julian
Hamidfar, Tabassom
Mitu, Shamima A.
Shahriar, Selim M.
contents The Spatio-temporal holographic correlator combines the traditional 2D optical image correlation techniques with inhomogeneously broadened arrays of cold atoms to achieve 3D time-space correlation to realize automatic event recognition at an ultra-high speed. Here we propose a method to realize such event recognition for videos running at different speeds. With this method, we can highly improve recognition accuracy and filter almost all the unwanted events in the video database.
format Preprint
id arxiv_https___arxiv_org_abs_2502_09939
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Temporal Scale and Shift Invariant Automatic Event Recognition using the Mellin Transform
Shen, Xi
Gamboa, Julian
Hamidfar, Tabassom
Mitu, Shamima A.
Shahriar, Selim M.
Computer Vision and Pattern Recognition
The Spatio-temporal holographic correlator combines the traditional 2D optical image correlation techniques with inhomogeneously broadened arrays of cold atoms to achieve 3D time-space correlation to realize automatic event recognition at an ultra-high speed. Here we propose a method to realize such event recognition for videos running at different speeds. With this method, we can highly improve recognition accuracy and filter almost all the unwanted events in the video database.
title Temporal Scale and Shift Invariant Automatic Event Recognition using the Mellin Transform
topic Computer Vision and Pattern Recognition
url https://arxiv.org/abs/2502.09939