Feature-Point-Based Target Tracking in the Crowd

CHUR > College Computer Science and Informatics > Department of Computer Science and Information Engineering > Seminar Papers > Item 987654321/31720

Please use this identifier to cite or link to this item: http://chur.chu.edu.tw/handle/987654321/31720

Title:	Feature-Point-Based Target Tracking in the Crowd
Authors:	連振昌 Lien, Cheng-Chang
Contributors:	資訊工程學系 Computer Science & Information Engineering
Keywords:	shortest spanning tree;corner points’ extraction;individual segmentation
Date:	2010
Issue Date:	2014-06-27 01:35:52 (UTC+8)
Abstract:	In order to detect each individual target in the crowded scenes, we propose a novel method to detect and track the individual target in the crowd. First, a coarse-to-fine individual segmentation approach based on the corner points’ extraction and tracking
Appears in Collections:	[Department of Computer Science and Information Engineering] Seminar Papers

Files in This Item:

File	Description	Size	Format
s_e331_0297.pdf		27Kb	Adobe PDF	91	View/Open