Real-time generic face tracking in the wild with CUDA

  • Authors:
  • Shiyang Cheng;Akshay Asthana;Stefanos Zafeiriou;Jie Shen;Maja Pantic

  • Affiliations:
  • Imperial College London, United Kingdom;Imperial College London, United Kingdom;Imperial College London, United Kingdom;Imperial College London, United Kingdom;Imperial College London, United Kingdom and EEMCS, University of Twente, Netherlands

  • Venue:
  • Proceedings of the 5th ACM Multimedia Systems Conference
  • Year:
  • 2014

Quantified Score

Hi-index 0.00

Visualization

Abstract

We present a robust real-time face tracking system based on the Constrained Local Models framework by adopting the novel regression-based Discriminative Response Map Fitting (DRMF) method. By exploiting the algorithm's potential parallelism, we present a hybrid CPU-GPU implementation capable of achieving real-time performance at 30 to 45 FPS, on ordinary consumer-grade computers. We have made the software publicly available for research purposes