Presentation	2003/9/8 Peculiarity Oriented Analysis in Multi-People Tracking Images Muneaki OHSHIMA, Ning ZHONG, Y.Y. Yao, Shinichi MURATA,
PDF Download Page	PDF download Page Link
Abstract(in Japanese)	(See Japanese page)
Abstract(in English)	In the place in which many people gather, we may find a suspicious person who is different from others from a security viewpoint. In other words, the person who takes a peculiar action is suspicious. In this paper, we describe an application of our peculiarity oriented mining approach for analysing in image sequences of tracking multiple walking people. A measure of peculiarity, which is called peculiarity factor, is investigated theoretically. The usefulness of our approach is verified by experimental results.
Keyword(in Japanese)	(See Japanese page)
Keyword(in English)	Peculiarity Oriented Mining / Analysis of Multi-People Tracking Images
Paper #	AI2003-53
Date of Issue

Conference Information
Committee	AI
Conference Date	2003/9/8(1days)
Place (in Japanese)	(See Japanese page)
Place (in English)
Topics (in Japanese)	(See Japanese page)
Topics (in English)
Chair
Vice Chair
Secretary
Assistant

Paper Information
Registration To	Artificial Intelligence and Knowledge-Based Processing (AI)
Language	ENG
Title (in Japanese)	(See Japanese page)
Sub Title (in Japanese)	(See Japanese page)
Title (in English)	Peculiarity Oriented Analysis in Multi-People Tracking Images
Sub Title (in English)
Keyword(1)	Peculiarity Oriented Mining
Keyword(2)	Analysis of Multi-People Tracking Images
1st Author's Name	Muneaki OHSHIMA
1st Author's Affiliation	Maebashi Inst. of Tech.()
2nd Author's Name	Ning ZHONG
2nd Author's Affiliation	Dept. of Infor. Eng., Maebashi Inst. of Tech.
3rd Author's Name	Y.Y. Yao
3rd Author's Affiliation	Univ. of Regina
4th Author's Name	Shinichi MURATA
4th Author's Affiliation	Oki Electric Industry Co., Ltd.
Date	2003/9/8
Paper #	AI2003-53
Volume (vol)	vol.103
Number (no)	305
Page	pp.pp.-
#Pages	6
Date of Issue