Periodicity Detection - PMUCOS Method

PMUCOS discovers all periodic parts of a video sequence
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Mise à jour 20 fév. 2020

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This code is a simple implementation of OF PMUCOS METHOD PROPOSED IN [1].
PMUCOS solves the problem of discovering all periodic segments of a video and of estimating their period in
a completely unsupervised manner. These segments may be located anywhere in the video, may differ in duration, speed, period and may represent unseen motion patterns of any type of objects (e.g., humans, animals, machines, etc).
We will appreciate if you cite our paper [1] in your work:
More details can be found in
https://sites.google.com/site/costaspanagiotakis/research/pd
and http://www.ics.forth.gr/cvrl/pd
[1] C. Panagiotakis, G. Karvounas, and A. Argyros, Unsupervised Detection of Periodic Segments in Videos, IEEE International Conference on Image Processing, 2018.

A newer periodicity detection method is proposed in [2].

[2] C. Panagiotakis and A. Argyros, A two-stage approach for commonality-based temporal localization of periodic motions, International Conference on Computer Vision Systems, 2019.

Citation pour cette source

Costas Panagiotakis (2024). Periodicity Detection - PMUCOS Method (https://www.mathworks.com/matlabcentral/fileexchange/67314-periodicity-detection-pmucos-method), MATLAB Central File Exchange. Récupéré le .

C. Panagiotakis, G. Karvounas, and A. Argyros, Unsupervised Detection of Periodic Segments in Videos, IEEE International Conference on Image Processing, 2018.

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Version Publié le Notes de version
1.0.0.1

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1.0.0.0