Rapid face detection using a multi-mode cascade and Separate Haar Feature

Ning Jiang*, Yijun Lu, Shaopeng Tang, Satoshi Goto

*この研究の対応する著者

研究成果: Conference contribution

8 被引用数 (Scopus)

抄録

In this paper, firstly, we describe a new feature for fast and accurate face detection. The feature is called Separate Haar Feature. Secondly, we describe a multi-mode detection algorithm to improve the detection rate. There are three key contributions. The first is "Separate Haar Feature", which adds a don't-care area between the rectangles of Haar Feature. We can get some more efficient features by this algorithm. The second is the algorithm for selecting the best width for this don't-care area and the False Alarm Rate for each stage in "Learning". This algorithm for width selecting is proposed to reduce the total number of learning features for reducing the memory used. And we use a smaller false alarm rate for each stage and less number of stages training the detector to improve the hit rate within the same detection time consuming. Finally, we proposed a multi-mode detection algorithm in cascade detection process to improve the detection rate.

本文言語English
ホスト出版物のタイトルISPACS 2010 - 2010 International Symposium on Intelligent Signal Processing and Communication Systems, Proceedings
DOI
出版ステータスPublished - 2010
イベント18th International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2010 - Chengdu
継続期間: 2010 12月 62010 12月 8

Other

Other18th International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2010
CityChengdu
Period10/12/610/12/8

ASJC Scopus subject areas

  • 人工知能
  • 信号処理
  • 通信

フィンガープリント

「Rapid face detection using a multi-mode cascade and Separate Haar Feature」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル