Comparison of Fusion Methods for Thermo-Visual Surveillance Tracking

Comparison of Fusion Methods for Thermo-Visual Surveillance Tracking
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DOI：
10.1109/icif.2006.301618
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发表时间：
2006-07
期刊：
2006 9th International Conference on Information Fusion
影响因子：
--
通讯作者：
Ciarán Ó Conaire;N. O’Connor;E. Cooke;A. Smeaton
Ciarán Ó Conaire;N. O’Connor;E. Cooke;A. Smeaton
中科院分区：
其他
文献类型：
--
作者：
Ciarán Ó Conaire;N. O’Connor;E. Cooke;A. Smeaton

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在本文中，我们评估了多种融合方案的外观跟踪性能，这些融合方案结合了来自标准CCTV和热红外光谱视频的信息，用于跟踪监视对象，如人、脸、自行车和车辆。我们展示了许多真实世界的多模式监视序列的结果，跟踪具有挑战性的物体，其外观变化迅速。基于这些结果，我们可以确定最有前途的聚变方案
In this paper, we evaluate the appearance tracking performance of multiple fusion schemes that combine information from standard CCTV and thermal infrared spectrum video for the tracking of surveillance objects, such as people, faces, bicycles and vehicles. We show results on numerous real world multimodal surveillance sequences, tracking challenging objects whose appearance changes rapidly. Based on these results we can determine the most promising fusion schemes