An Anti-occlusion Adaptive Particle Filtering Algorithm

Authors

Li Ju, 1. School of Computer Science and Engineering, Changshu Institute of Technology, Changshu 215500, China;;2. Provincial Key Laboratory for Computer Information Processing Technology, Soochow University, Suzhou 215006, China;;
Mingwei Cao, 3.VCC Division, School of Computer and Information, Hefei University of Technology, Hefei 230009, China;
Yu Ye, 3.VCC Division, School of Computer and Information, Hefei University of Technology, Hefei 230009, China;
Xia Yu, 1. School of Computer Science and Engineering, Changshu Institute of Technology, Changshu 215500, China;;
Lifan Zhou, 1. School of Computer Science and Engineering, Changshu Institute of Technology, Changshu 215500, China;;

Abstract

Abstract: Considering the influence of local occlusion on particle filter tracking algorithm, an anti occlusion adaptive particle filtering algorithm is proposed. It adopts a rectangle as the tracking window, and uses the K mean clustering algorithm to complete particle clustering in resampling, and then obtains the particle subgroup. It estimates the final state according to particles subgroups, and modifies the tracking window. When the area changes more than 5%, the tracking window maintains the same as the one in last frame. Otherwise, the tracking window will change according to the size of moving object, which is a self-adaptation process. At the same time it solves the degeneration problem of particle filter. This algorithm strengthens the robustness of tracking algorithm in case of local occlusion and moving object scale changing. The method performs better than the traditional particle filter tracking algorithm.

Recommended Citation

Ju, Li; Cao, Mingwei; Ye, Yu; Yu, Xia; and Zhou, Lifan (2019) "An Anti-occlusion Adaptive Particle Filtering Algorithm," Journal of System Simulation: Vol. 30: Iss. 9, Article 41.
DOI: 10.16182/j.issn1004731x.joss.201809041
Available at: https://dc-china-simulation.researchcommons.org/journal/vol30/iss9/41

First Page

3552

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.201809041

Last Page

3557

CLC

TP391.41

Recommended Citation

Li Ju, Cao Mingwei, Yu Ye, XiaYu, Zhou Lifan. An Anti-occlusion Adaptive Particle Filtering Algorithm[J]. Journal of System Simulation, 2018, 30(9): 3552-3557.

DOI

10.16182/j.issn1004731x.joss.201809041