Research on Parallel Particle Filtering Target Tracking Algorithm Based on Hadoop

DOI

10.2991/iccsae-15.2016.171How to use a DOI?

Keywords

Cloud computing;Hadoop;MapReduce;Particle filter;Target tracking

Abstract

In order to achieve high efficiency and low cost moving target tracking in video sequences, we proposed parallel particle filtering target tracking algorithm based on Hadoop cloud platform, the algorithm using the open source calculation model to realize the parallel calculation of all particles in the particle filter.The experiments show that the parallel particle filter target tracking algorithm based on Hadoop improve the calculation efficiency when compared with the existing algorithms improve the calculation efficiency.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Fu Sun
AU  - JianXin Song
PY  - 2016/02
DA  - 2016/02
TI  - Research on Parallel Particle Filtering Target Tracking Algorithm Based on Hadoop
BT  - Proceedings of the 2015 5th International Conference on Computer Sciences and Automation Engineering
PB  - Atlantis Press
SP  - 922
EP  - 928
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccsae-15.2016.171
DO  - 10.2991/iccsae-15.2016.171
ID  - Sun2016/02
ER  -