CAJ | 학술논문

提出一种基于粒子滤波的红外目标跟踪的新算法. 用该算法对采样粒子进行优化,改进了重采样环节,在不影响跟踪准确率的条件下,提高了算法的速度. 实验结果表明,将此算法运用到瞳孔跟踪中,跟踪比较准确有效. 同时,将Hough变换应用到了瞳孔边缘的定位领域中,此算法有效改进了红外图像中眼睛瞳孔的跟踪效果.
제출일충기우입자려파적홍외목표근종적신산법. 용해산법대채양입자진행우화,개진료중채양배절,재불영향근종준학솔적조건하,제고료산법적속도. 실험결과표명,장차산법운용도동공근종중,근종비교준학유효. 동시,장Hough변환응용도료동공변연적정위영역중,차산법유효개진료홍외도상중안정동공적근종효과.
Presents a particle filter-based algorithm for IR target-tracking. In this algorithm, sampling particles are optimized and selected, and the re-sampling phase is improved. It solves the problems of massive computation in traditional particle filter. And this method is adopted in tracking pupil, which has better precision and higher efficiency. The paper also applied Hough transform to locate the edge of pupil and achieved very good results.