Clutter reduction using track classification and clutter map generation

Clutter reduction using track classification and clutter map generation

A clutter reduction method using track classification and clutter map generation for the real-time target detection and tracking system is presented. Track classification identifies background clutter tracks and this information is used to reduce false detection rate in the detection process. Experi...

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Hauptverfasser: Yukyung Yang, Sungho Kim, Yongchan Park
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Adaptive filters
Filtering
Matched filters
Nearest neighbor searches
Object detection
Real time systems
Target tracking
Thyristors
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creator Yukyung Yang
Sungho Kim
Yongchan Park
description A clutter reduction method using track classification and clutter map generation for the real-time target detection and tracking system is presented. Track classification identifies background clutter tracks and this information is used to reduce false detection rate in the detection process. Experimental results show the proposed method can reduce considerable false track rate.
doi_str_mv 10.1109/ICIMW.2009.5324608
format Conference Proceeding
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identifier ISSN: 2162-2027
ispartof 2009 34th International Conference on Infrared, Millimeter, and Terahertz Waves, 2009, p.1-2
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source IEEE Electronic Library (IEL) Conference Proceedings
subjects Adaptive filters
Filtering
Matched filters
Nearest neighbor searches
Object detection
Real time systems
Target tracking
Thyristors
title Clutter reduction using track classification and clutter map generation
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