Robust Human Identity Anonymization using Pose Estimation

01/10/2023
by   Hengyuan Zhang, et al.
8

Many outdoor autonomous mobile platforms require more human identity anonymized data to power their data-driven algorithms. The human identity anonymization should be robust so that less manual intervention is needed, which remains a challenge for current face detection and anonymization systems. In this paper, we propose to use the skeleton generated from the state-of-the-art human pose estimation model to help localize human heads. We develop criteria to evaluate the performance and compare it with the face detection approach. We demonstrate that the proposed algorithm can reduce missed faces and thus better protect the identity information for the pedestrians. We also develop a confidence-based fusion method to further improve the performance.

READ FULL TEXT

page 2

page 5

page 6

research
11/29/2017

DeepSkeleton: Skeleton Map for 3D Human Pose Regression

Despite recent success on 2D human pose estimation, 3D human pose estima...
research
03/21/2019

Weakly-Supervised Discovery of Geometry-Aware Representation for 3D Human Pose Estimation

Recent studies have shown remarkable advances in 3D human pose estimatio...
research
05/23/2021

Adapted Human Pose: Monocular 3D Human Pose Estimation with Zero Real 3D Pose Data

The ultimate goal for an inference model is to be robust and functional ...
research
06/04/2019

Exploiting Offset-guided Network for Pose Estimation and Tracking

Human pose estimation has witnessed a significant advance thanks to the ...
research
11/01/2021

Evaluation of Human and Machine Face Detection using a Novel Distinctive Human Appearance Dataset

Face detection is a long-standing challenge in the field of computer vis...
research
10/04/2021

Causal Representation Learning for Fine-Grained Face Transfer

Identity transfer often faces the challenge of generalizing to new situa...
research
08/28/2021

DeepFake Detection with Inconsistent Head Poses: Reproducibility and Analysis

Applications of deep learning to synthetic media generation allow the cr...

Please sign up or login with your details

Forgot password? Click here to reset