講演名 2014-06-20
A novel preprocessing technique for training Viola-Jones hand detector
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抄録(和)
抄録(英) Viola-Jones method combines Haar-like features with AdaBoost classifier. It is widely used in real time object detection due to its high performance and rapidity. Viola-Jones method has achieved considerable success in face detection. However, when it is applied to hand detection, the false positive rate is rather high. Compared with face training samples which contain little background area, hand training samples include diverse backgrounds. Therefore it is substantially difficult to find common hand features in the training of hand detectors. To solve this problem, we propose a novel preprocessing technique which can reduce the bad influence of backgrounds included in hand training samples. Experimental results show that our method needs far less training samples than Viola-Jones method and improves the false positive rate significantly.
キーワード(和)
キーワード(英) Hand detection / Machine learning / Viola-Jones method / Haar-like features / AdaBoost
資料番号 PRMU2014-28
発行日

研究会情報
研究会 PRMU
開催期間 2014/6/12(から1日開催)
開催地(和)
開催地(英)
テーマ(和)
テーマ(英)
委員長氏名(和)
委員長氏名(英)
副委員長氏名(和)
副委員長氏名(英)
幹事氏名(和)
幹事氏名(英)
幹事補佐氏名(和)
幹事補佐氏名(英)

講演論文情報詳細
申込み研究会 Pattern Recognition and Media Understanding (PRMU)
本文の言語 ENG
タイトル(和)
サブタイトル(和)
タイトル(英) A novel preprocessing technique for training Viola-Jones hand detector
サブタイトル(和)
キーワード(1)(和/英) / Hand detection
第 1 著者 氏名(和/英) / Shuctiong WU
第 1 著者 所属(和/英)
Department of Computational Intelligence and Systems Science, Tokyo Institute of Technology
発表年月日 2014-06-20
資料番号 PRMU2014-28
巻番号(vol) vol.114
号番号(no) 90
ページ範囲 pp.-
ページ数 5
発行日