Vehicle Counting without Background Modeling

CHUR > College Computer Science and Informatics > Department of Computer Science and Information Engineering > Seminar Papers > Item 987654321/31741

Please use this identifier to cite or link to this item: http://chur.chu.edu.tw/handle/987654321/31741

Title:	Vehicle Counting without Background Modeling
Authors:	連振昌 Lien, Cheng-Chang
Contributors:	資訊工程學系 Computer Science & Information Engineering
Keywords:	dual foregrounds fusion;texture-based target tracking.
Date:	2011
Issue Date:	2014-06-27 01:36:22 (UTC+8)
Abstract:	Abstract. In general, the vision-based methods may face the problems of serious illumination variation, shadows, or swaying trees. Here, we propose a novel vehicle detection method without background modeling to overcome the aforementioned problems. First
Appears in Collections:	[Department of Computer Science and Information Engineering] Seminar Papers

Files in This Item:

File	Description	Size	Format
s_e331_0301.pdf		29Kb	Adobe PDF	40	View/Open