Paper Info
Title
500-fps face tracking system
Abstract
In this paper, we propose a high-speed vision system that can be applied to real-time face tracking at 500 fps using GPU acceleration of a boosting-based face tracking algorithm. By assuming a small image displacement between frames, which is a property of high-frame rate vision, we develop an improved boosting-based face tracking algorithm for fast face tracking by enhancing the Viola---Jones face detector. In the improved algorithm, face detection can be efficiently accelerated by reducing the number of window searches for Haar-like features, and the tracked face pattern can be localized pixel-wise even when the window is sparsely scanned for a larger face pattern by introducing skin color extraction in the boosting-based face detector. The improved boosting-based face tracking algorithm is implemented on a GPU-based high-speed vision platform, and face tracking can be executed in real time at 500 fps for an 8-bit color image of 512 脳 512 pixels. In order to verify the effectiveness of the developed face tracking system, we install it on a two-axis mechanical active vision system and perform several experiments for tracking face patterns.
Year
DOI
Venue
2013
10.1007/s11554-012-0255-8
J. Real-Time Image Processing
Keywords
Field
DocType
face tracking,face pattern,face detection,500-fps face tracking system,boosting-based face tracking algorithm,boosting-based face detector,jones face detector,larger face pattern,fast face tracking,improved boosting-based face tracking,developed face tracking system
Computer vision,Machine vision,Object-class detection,Computer science,Artificial intelligence,Pixel,Boosting (machine learning),Face detection,Detector,Facial motion capture,Color image
Journal
Volume
Issue
ISSN
8
4
1861-8219
Citations 
PageRank 
References 
22
1.04
19
Authors
4
Name
Order
Citations
PageRank
Idaku Ishii135564.37
Tomoki Ichida2221.04
Qingyi Gu315322.13
Takeshi Takaki422238.04