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Journal Article
500-fps face tracking system
2013
Overview
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 × 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.
Publisher
Springer Berlin Heidelberg,Springer,Springer Nature B.V
Subject
/ Computer science; control theory; systems
/ Data processing. List processing. Character string processing
/ Exact sciences and technology
/ Field programmable gate arrays
/ Image Processing and Computer Vision
/ Learning
/ Memory organisation. Data processing
/ Multimedia Information Systems
/ Pattern recognition. Digital image processing. Computational geometry
/ Pixels
/ Robots
/ Sensors
/ Signal,Image and Speech Processing
/ Software
