Moving weak targets detection using an ARMA-based bioinspired model

Yuan Lu*, Shang Fei

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

The extraction of useful motion information in clutter scenes is a challenging task. In this paper a bioinspired model based ARMA filters was adopted to detect the moving targets. The model took advantage of the facts that insects are capable of discriminating the moving targets in clutter scenes. It used the photoreceptor stage and the larger monopolar cells (LMCs) stage to improve the performance of the elementary motion detection model. The photoreceptor stage increased the contrast between the targets and background to make the weak moving targets more salient. Then spatiotemporal highpass filters in LMCs stage removed redundancy in space and time domain, meanwhile highlighted edges of targets and areas of relative movement. The simulation results indicated that the ARMA-based bioinspired model detected the weak moving targets robustly in clutter scenes.

源语言英语
主期刊名2012 International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2012
DOI
出版状态已出版 - 2012
活动2012 8th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2012 - Shanghai, 中国
期限: 21 9月 201223 9月 2012

出版系列

姓名2012 International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2012

会议

会议2012 8th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2012
国家/地区中国
Shanghai
时期21/09/1223/09/12

指纹

探究 'Moving weak targets detection using an ARMA-based bioinspired model' 的科研主题。它们共同构成独一无二的指纹。

引用此

Lu, Y., & Fei, S. (2012). Moving weak targets detection using an ARMA-based bioinspired model. 在 2012 International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2012 文章 6478578 (2012 International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2012). https://doi.org/10.1109/WiCOM.2012.6478578