Human detection by a small autonomous mobile robot

研究成果: Chapter in Book/Report/Conference proceedingConference contribution

抄録

We propose a human detection method using HOG and SVM from an image by a small autonomous mobile robot. Existing works for human detection from images cannot be used for our purpose because they assume that the images are taken from a high position, at least at the height of a small human child, while our robot is of 15cm height. The combination of HOG and SVM is known as the most successful human detection method so we adopt it. To cope with a wide variety of human shapes mainly due to the distance to them, we devised a two stage prediction method which uses two kinds of SVM classifiers based on an estimation of the distance. The estimation is based on the ratio of the skin color pixel in the image, which allows us to clearly separate our problem into whole body detection and partial body detection. Experiments in an office showed promising results of our method with F value 0.93.

本文言語英語
ホスト出版物のタイトルExtraction et Gestion des Connaissances, EGC 2012
ページ233-238
ページ数6
出版ステータス出版済み - 12 1 2012
イベント12th Journees Internationales Francophones Extraction et Gestion des Connaissances, EGC 2012 - 12th French-speaking International Conference on Knowledge Discovery and Management, EGC 2012 - Bordeaux, フランス
継続期間: 1 31 20122 3 2012

出版物シリーズ

名前Revue des Nouvelles Technologies de l'Information
E.23
ISSN(印刷版)1764-1667

その他

その他12th Journees Internationales Francophones Extraction et Gestion des Connaissances, EGC 2012 - 12th French-speaking International Conference on Knowledge Discovery and Management, EGC 2012
Countryフランス
CityBordeaux
Period1/31/122/3/12

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Computer Science Applications
  • Information Systems
  • Software

フィンガープリント 「Human detection by a small autonomous mobile robot」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