Infrared target detection and tracking by region correspondence in image sequences

ASIA unversity > 資訊學院 > 資訊傳播學系 > 期刊論文 > Item 310904400/4330

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题名:	Infrared target detection and tracking by region correspondence in image sequences
作者:	K. P. Tang;W. H. Tsai
贡献者:	Department of Information Communication
关键词:	target detection;target tracking;infrared images;image sequences;region correspondence;hierarchical clustering;target models;target motion
日期:	1990-03
上传时间:	2009-11-25 02:30:54 (UTC+0)
出版者:	Asia University
摘要:	In this paper, a region correspondence approach is proposed for use in image sequence analysis to remove false alarms in target detection. Object segmentation techniques based on thresholding are performed first. A range of threshold values is determined according to different image backgrounds which are classified by gray level contrast and cooccurrence matrices. Hierarchical clustering is then used to construct effective feature-based tracking models. Local least-mean-square-error estimation is finally used to track the targets continuously. High target detection rates and no false alarm prove the feasibility of the proposed approach for real applications.
關聯:	Journal of Information Science and Engineering 6 (1): 1-24
显示于类别:	[資訊傳播學系] 期刊論文

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