Real-Time Viola-Jones Face Detection in a Web Browser

被引：10

作者：

Ephraim, Theo ^{[1
]}

Himmelman, Tristan ^{[1
]}

Siddiqi, Kaleem ^{[1
]}

机构：

[1] McGill Univ, Ctr Intelligent Mach, Sch Comp Sci, Montreal, PQ H3A 2T5, Canada

来源：

2009 CANADIAN CONFERENCE ON COMPUTER AND ROBOT VISION | 2009年

关键词：

D O I：

10.1109/CRV.2009.48

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper develops optimizations to the Viola-Jones face detection method to make it suitable for use in a web browser running on a standard laptop or a desktop equipped with a webcam. In this setting certain assumptions can be made about the number and location of faces to find, and information from a previous frame can help to localize the search. These optimizations lead to an algorithm which performs real-time face detection using a slow scripting language, even on low-end computers. Specifically, we have implemented the algorithm in Adobe Flash (Action-Script 3.0) and our implementation can be deployed via a web browser without any extra installation. We invite readers to click on http://flashfacedetection.com and test it for themselves.

引用

页码：321 / +

页数：2

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