计算机工程与科学2017，Vol.39Issue(4)：813-820,8.DOI:10.3969/j.issn.1007-130X.2017.04.028
一种抗遮挡与重采样的粒子滤波跟踪算法研究
An anti-occlusion and anti-resampling particle filter tracking algorithm
王旭阳 1王艳伟1
作者信息
- 1. 兰州理工大学计算机与通信学院,甘肃兰州730050
- 折叠
摘要
Abstract
Particle filters can suffer from particle scarce after a number of iterations.Illumination,face mask and rotation problems can also lead to decrease in tracking accuracy of traditional colors,even tracking failure and other issues.To solve these problems abovementioned,we propose an adaptive likelihood distribution (ALD) method,which can adaptively adjust the likelihood distribution state and in crease the overlap region of the prior distributions and likelihood distribution according to the size of the noise factor,thus effectively improving the stability of the filter and reducing the number of resampling.As for the low tracking accuracy or failure moment,we use the local ternary patterns (LTP) to identify the area to be tracked,and utilize the effective particle dynamic threshold to reduce particle resampling frequency.The tracking continues by using new determined templates.Experimental results show that the proposed algorithm has a smaller number of samples and can effectively track the target with occlu sion, rotation and other conditions in comparison with the traditional algorithm.关键词
粒子滤波/似然分布自适应调整/局部二值模式/局部三值模式/遮挡/重采样Key words
particle filter/adaptive likelihood distribution/local binary patterns/local ternary pattern/occlusion/resampling分类
信息技术与安全科学引用本文复制引用
王旭阳,王艳伟..一种抗遮挡与重采样的粒子滤波跟踪算法研究[J].计算机工程与科学,2017,39(4):813-820,8.
