Simultaneous and fast 3D tracking of multiple faces in video by GPU-based stream processing
NTT Communication Science Laboratories, 3-1, Morinosato-Wakamiya, Atsugi-shi, 243-0198, Japan
IEEE International Conference on Acoustics, Speech and Signal Processing, 2008. ICASSP 2008, p.713-716
@conference{lozano2008simultaneous,
title={Simultaneous and fast 3D tracking of multiple faces in video by GPU-based stream processing},
author={Lozano, O.M. and Otsuka, K.},
booktitle={Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on},
pages={713–716},
issn={1520-6149},
year={2008},
organization={IEEE}
}
In this work, we implement a real-time visual tracker that targets the position and 3D pose of objects in video sequences, specifically faces. Using stream processors for performing the computations as well as efficient sparse-template-based particle filtering allows us to achieve real-time processing even when tracking multiple objects simultaneously in high- resolution video frames. Stream processing is a relatively new computing paradigm that permits the expression and execution of data-parallel algorithms with great efficiency and minimum effort. Using a GPU (graphics processing unit, a consumer-grade stream processor) and the NVIDIA CUDA technology, we can achieve real-time performance even when tracking multiple objects in high-quality videos.
January 20, 2011 by hgpu
