PrivHAR: Recognizing Human Actions From Privacy-preserving Lens

We design the camera lens to perform human action recognition while preserving users’ privacy.

Carlos Hinojosa

Universidad Industrial de Santander

Miguel Marquez

Universidad Industrial de Santander

Henry Arguello

Universidad Industrial de Santander

Ehsan Adeli

Stanford University

Fei-Fei Li

Stanford University

Juan Carlos Niebles

Stanford University

PDF Supplementary Poster Video

ECCV 2022 (Oral) Short Presentation Video

Press Coverage

PrivHAR article in the RSIPvision ECCV 2022 Daily magazine

Our ECCV 2022 oral paper was featured as the cover story of the ECCV 2022 Daily magazine by RSIPvision, with an interview about designing camera lenses that protect privacy while still recognizing human actions.

Read the magazine