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

Authors

page 2

page 5

11/17/2021

Improving Person Re-Identification with Temporal Constraints

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

Incremental Learning in Person Re-Identification

Person Re-Identification is still a challenging task in Computer Vision ...
03/17/2019

Bag of Tricks and A Strong Baseline for Deep Person Re-identification

This paper explores a simple and efficient baseline for person re-identi...
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...
04/10/2018

Recurrent Neural Networks for Person Re-identification Revisited

The task of person re-identification has recently received rising attent...
05/24/2019

Beyond Intra-modality Discrepancy: A Comprehensive Survey of Heterogeneous Person Re-identification

An effective and efficient person re-identification (ReID) algorithm wil...
04/15/2021

PURE: Passive mUlti-peRson idEntification via Deep Footstep Separation and Recognition

Recently, passive behavioral biometrics (e.g., gesture or footstep) have...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.