节点文献
红外跟踪系统中的自适应阈值分割
Adaptive Threshold Algorithm in IR Tracking System
【摘要】 在红外跟踪系统中,由于目标太小,常产生阈值设定太高而漏警,阈值设定太低而虚警的问题。文章描述了以FPGA和DSP为核心的信号处理平台,结合多假设跟踪算法提出了一种自适应的阈值选取方法。最后分析了算法在系统中的运行结果,结果表明该算法能快速、可靠地检测出小目标。
【Abstract】 In IR tracking system,a higher or lower threshold value will result in detecting a point target failed.In the paper,it constructs a signal processing platform using Field Programmable Gate Array(FPGA) and Digital Signal Processor(DSP),and a new adaptive threshold algorithm based on Multiple hypothesis tracking algorithm is proposed.It also analyses the effect in IR tracking system based on this algorithm,and it shows that the algorithm can detect the point target quickly,effectively.
【关键词】 红外目标;
自适应阈值;
多假设跟踪;
【Key words】 IR target; adaptive threshold; multiple hypothesis tracking(MHT);
【Key words】 IR target; adaptive threshold; multiple hypothesis tracking(MHT);
【基金】 中科院知识创新支持项目
- 【文献出处】 激光与红外 ,Laser & Infrared , 编辑部邮箱 ,2008年04期
- 【分类号】TN219
- 【被引频次】10
- 【下载频次】308