Real-time Face tracking with CUDA (MMSys 2014)

This is the Real-time generic face tracking in the wild with CUDA (MMSys 2014) written by Shiyang Cheng and Akshay Asthana. It is a real-time system that performs 66-landmarks face tracking along with 3D head pose estimation. We use a hybrid CPU-GPU implementation of Discriminative Response Map Fitting (DRMF) algorithm in this system, which are capable of achieving real-time performance at 30 to 45 FPS on ordinary consumer-grade computers.

 

DEMO DOWNLOAD

The code requires a NVIDIA graphics card with least 2.0 compute capability, and CUDA Toolkit 5.0 or above should be installed in the system.

FACE TRACKER Download (Linux version)

 

Contact:

Shiyang Cheng

shiyang.cheng11@imperial.ac.uk

Intelligent Behaviour Understanding Group (iBUG)

 

References:

 

[1] S. Cheng, A. Asthana, S. Zafeiriou, J. Shen and M. Pantic. Real-Time Generic Face Tracking in the Wild with CUDA [pdf]. MMSys 2014.

 

[2] A. Asthana, S. Zafeiriou, S. Cheng and M. Pantic. Robust Discriminative Response Map Fitting with Constrained Local Models [pdf]. CVPR 2013.