Transfer Learning-Based Distance-Adaptive Global Soft Biometrics Prediction in Surveillance
Sonjoy Ranjon Das, Henry Onilude, Bilal Hassan, Preeti Patel, Karim Ouazzane
Electronics (2025)
Soft biometric prediction in surveillance systems faces significant challenges when attempting to maintain accuracy across varying subject distances. This research presents a novel transfer learning-based distance-adaptive approach for predicting global soft biometrics including age, gender, and ethnicity in surveillance environments. Using EfficientNetB3 with distance-adaptive multi-task deep learning, our method achieves robust performance across distances ranging from 4 meters to 10 meters.