Automatic Target Recognition from IR Images Using Bottom-Up Selective Attention

摘要：

An automatic target recognition (ATH) system is implemented using visual selective attention. Typical ATR system has 3 stages, which are target detection, clutter rejection, and target recognition. IR tank images are used for testing performance of the ATR system. In target detection stage, Saliency map for bottom-up selective attention, and multilayer perceptron (MLP) are used to extract features at local area. And we combine these two maps with another MLP. A clutter rejection stage and a target recognition stage are implemented using MLP. The performance of each stage and also overall performance is compared for three target detection methods. When two maps are combined using MLP, not only target detection rate but also overall performance is enhanced. Proposed method shows high recognition rate and low false alarm.

作者: Chang-Hoon Lee Yong Woon Park Soo-Young Lee

作者单位: Brain Science Research Center and Department of Electrical Engineering,Korea Advanced Institute of S Agency for Defense Development, Yousung, PO Box 35-1, Taejeon, Korea

会议类型: 国际会议

会议名称: 8th International Conference on Neural Information Processing(ICONIP 2001)(第八届国际神经信息处理大会)

会议地点: 上海

会议语种:英文

页码: 322-327

在线出版日期: 2001-11-14（万方平台首次上网日期，不代表论文的发表时间）