How important are faces for person re-identification?

10/13/2020
by   Julia Dietlmeier, et al.
3

This paper investigates the dependence of existing state-of-the-art person re-identification models on the presence and visibility of human faces. We apply a face detection and blurring algorithm to create anonymized versions of several popular person re-identification datasets including Market1501, DukeMTMC-reID, CUHK03, Viper, and Airport. Using a cross-section of existing state-of-the-art models that range in accuracy and computational efficiency, we evaluate the effect of this anonymization on re-identification performance using standard metrics. Perhaps surprisingly, the effect on mAP is very small, and accuracy is recovered by simply training on the anonymized versions of the data rather than the original data. These findings are consistent across multiple models and datasets. These results indicate that datasets can be safely anonymized by blurring faces without significantly impacting the performance of person reidentification systems, and may allow for the release of new richer re-identification datasets where previously there were privacy or data protection concerns.

READ FULL TEXT

page 2

page 5

research
11/17/2021

Improving Person Re-Identification with Temporal Constraints

In this paper we introduce an image-based person re-identification datas...
research
08/20/2018

Incremental Learning in Person Re-Identification

Person Re-Identification is still a challenging task in Computer Vision ...
research
03/05/2015

Learning to rank in person re-identification with metric ensembles

We propose an effective structured learning based approach to the proble...
research
04/10/2018

Recurrent Neural Networks for Person Re-identification Revisited

The task of person re-identification has recently received rising attent...
research
04/02/2019

SafeAccess: Towards a Dialogue Enabled Access to the Smart Home for the Friends and Families

SafeAccess is an interactive assistive technology solution to enhance th...
research
07/22/2020

Camera On-boarding for Person Re-identification using Hypothesis Transfer Learning

Most of the existing approaches for person re-identification consider a ...
research
02/11/2023

DaliID: Distortion-Adaptive Learned Invariance for Identification Models

In unconstrained scenarios, face recognition and person re-identificatio...

Please sign up or login with your details

Forgot password? Click here to reset