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Robust real-time face detection (2004)
| Venue: | International Journal of Computer Vision |
| Citations: | 1887 - 9 self |
BibTeX
@ARTICLE{Viola04robustreal-time,
author = {Paul Viola and Michael Jones},
title = {Robust real-time face detection},
journal = {International Journal of Computer Vision},
year = {2004},
volume = {57},
pages = {137--154}
}
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Abstract
We have constructed a frontal face detection system which achieves detection and false positive rates which are equivalent to the best published results [7, 5, 6, 4, 1]. This face detection system is most clearly distinguished from previous approaches in its ability to detect faces extremely rapidly. Operating on 384 by 288 pixel images, faces are detected at 15 frames per second on a conventional 700 MHz Intel Pentium III. In other face detection systems, auxiliary information, such as image differences in video sequences, or pixel color in color images, have been used to achieve high frame rates. Our system achieves high frame rates working only with the information present in a single grey scale image. These alternative sources of information can also be integrated with our system to achieve even higher frame rates.
Keyphrases
robust real-time face detection face detection system high frame rate frontal face detection system mhz intel pentium iii frame rate false positive rate pixel image video sequence previous approach single grey scale image image difference information present auxiliary information alternative source color image
