Clustering for filtering: Multi-object detection and estimation using multiple/massive sensors

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• 作者：Tiancheng Li^a ; ^b ; ^{t.c.li@usal.es} ; ^{tiancheng.li1985@gmail.com} ; Juan M. Corchado^a ; ^c ; ^{corchado@usal.es} ; Shudong Sun^b ; ^{sdsun@nwpu.eud.cn} ; Javier Bajo^d ; ^{jbajo@fi.upm.es}
• 关键词：Target detection ; Object recognition ; Filtering ; Tracking ; Sensor fusion
• 刊名：Information Sciences
• 出版年：2017
• 出版时间：May 2017
• 年：2017
• 卷：388-389
• 期：Complete
• 页码：172-190
• 全文大小：1203 K
• 卷排序：388

文摘

Multi-sensor multi-object detection and estimation is solved by a clustering approach. Accommodate little prior information about targets, background and sensors. Neither sophisticated modeling nor unrealistic assumption is required. Outperform state-of-the-art filters in average multi-sensor cases.