Parallel Particle Filter Algorithm and Its FPGA Implementation

DOI

10.2991/ccit-14.2014.34How to use a DOI?

Keywords

parallel Particle Filter, FPGA, embedded vision

Abstract

Visual target tracking is the key problem in intelligent video processing. Particle Filter is classic and effective in visual target tracking algorithms, but it needs to analyze a large amount of probability statistic, leading to high algorithm complexity and low calculation efficiency. FPGA provides a competitive alternative for hardware acceleration to these applications. In this paper, we modify Particle Filter algorithm and propose a FPGA-based hardware accelerating architecture. Experiments show the embedded architecture is robust and shows a great real-time performance.

Copyright

© 2014, 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/).

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TY  - CONF
AU  - Xiaofeng Lu
AU  - Shuhui Wang
AU  - Zhiying Du
AU  - Dongbin Pei
AU  - Dingyuan Zheng
AU  - Tongchun Zuo
PY  - 2014/01
DA  - 2014/01
TI  - Parallel Particle Filter Algorithm and Its FPGA Implementation
BT  - Proceedings of the 2014 International Conference on Computer, Communications and Information Technology
PB  - Atlantis Press
SP  - 127
EP  - 130
SN  - 1951-6851
UR  - https://doi.org/10.2991/ccit-14.2014.34
DO  - 10.2991/ccit-14.2014.34
ID  - Lu2014/01
ER  -