摘要本文梳理了粒子滤波理论基本内容, 发展脉络和最新研究进展, 特别是对其在多目标跟踪
应用中的一系列难点问题与主流解决思路进行了详细分析和报道. 常规粒子滤波研究重点主要 …

Abstract The sequential Monte Carlo (SMC) implementation of the probability hypothesis
density (PHD) filter suffers from low computational efficiency since a large number of …

Abstract The Probability Hypothesis Density (PHD) filter is a promising technique in terms of
computational complexity to solve the multiple targets tracking problem. However, the …

To meet the rapidly growing demand of localisation and tracking information of mobile
agents in cyber‐physical systems, in this paper, we propose a fully pipelined and parallel …

In this paper, we propose a particle allocation approach in the particle CB-MeMBer Filter for
multi-target tracking (MTT). Considering the particle distribution uncertainty and existence …

Particle Filter is one of the widely used techniques in visual tracking as it can model a
dynamic environment with non-linear motions and multimodal non-Gaussian noises. Many …

The goal of D6. 5 is to assess the dissemination activities carried out throughout the duration
of COPCAMS. Table 1 shows the overall picture of the dissemination activities divided per …

We present a recursive track-before-detect (TBD) algorithm based on the bin-occupancy
filter for multi-target tracking from image observations by asking a different question:" Is there …