In the recent years, multicue visual tracking frameworks have been preferred over single cue
visual tracking approaches to address critical environmental challenges. In literature, it has …

智能粒子滤波通过借鉴遗传算法思想能够减轻粒子退化现象. 在基于遗传算法的智能粒子滤波
基础上, 该文提出对低权值粒子的改进的智能粒子滤波(IIPF) 处理策略. 在对粒子进行分离 …

During the growth of silicon single crystals, it is critical to detect the liquid level of the silicon
melt to ensure their high-quality production. Because noise statistics are difficult to …

The past several decades have witnessed the successful application of sequential Monte
Carlo method (or particle filter) to a variety of fields. It has grown to be a popular method in …

Shadow removal is a challenging task as it requires us to recover common penumbra at the
shadow boundary and trys not to alter the illumination of the non-shadow regions. In this …

In this paper, a new variational Gaussian regression filter (VGRF) is proposed by
constructing the linear parametric Gaussian regression (LPGR) process including variational …

Abstract The intelligent Particle Filter (PF) based on the genetic algorithm can reduce
particle degradation. An adaptive processing strategy for low weight particles is proposed for …

Visual tracking is a challenging task in the field of computer vision with wide applications in
intelligent and surveillance systems. Recently, correlation trackers have shown great …

The highly accurate state estimation of nonlinear systems is needed in many different
application fields. In many existing nonlinear filters, the uncompensated nonlinear …

Visual tracking is a fundamental problem in computer vision with extensive application
domains in surveillance and intelligent systems. Recently, correlation filter-based tracking …