Modeling Temporal Visual Salience for Human Action Recognition Enabled Visual Anonymity Preservation

Modeling Temporal Visual Salience for Human Action Recognition Enabled Visual Anonymity Preservation

This paper proposes a novel approach for visually anonymizing video clips while retaining the ability to machine-based analysis of the video clip, such as, human action recognition. The visual anonymization is achieved by proposing a novel method for generating the anonymization silhouette by modeli...

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Bibliographic Details
Main Authors: Salah Al-Obaidi, Hiba Al-Khafaji, Charith Abhayaratne
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Visual anonymization
human action recognition
histogram of gradients in salience (<italic xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">HOG-S</italic>)
temporal visual salience estimation
privacy
video-based monitoring
Online Access:https://ieeexplore.ieee.org/document/9266036/

Internet

https://ieeexplore.ieee.org/document/9266036/

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