基于粒子滤波的红外目标跟踪新算法

粒子滤波是一种在非线性和非高斯情形下进行状态估计的有效方法。提出一种基于粒子滤波的红外目标跟踪的新算法。阐述了粒子滤波算法的原理,将粒子滤波引入到红外目标跟踪中。考虑到传统的粒子滤波跟踪算法存在计算量大,误码多的缺点,对传统算法进行了改进。对采样粒子进行优化选择,改进了重采样环节。实验结果表明,改进算法较传统粒子滤波算法能更准确,更有效的跟踪红外目标。

A New Particle-filer Based Algorithm for IR Target-Tracking

Particle filter is an effective method under the condition of non-linear and non-gaussian. This paper presents a particle filter-based algorithm for IR target-tracking.Illustrated is the theory of the particle filter which is introduced to IR target-tracking.An improvement is made of the traditional particle fil- ter which suffers massive computation and frequent error-codes.Sampling particles are optimized and select- ed,and the re-sampling phase is improved.The results show that the improved algorithm can track the IR tar- get with better precision and higher efficiency.