Proceedings of the 2014 International Conference on Computer, Communications and Information Technology

Parallel Particle Filter Algorithm and Its FPGA Implementation

Authors
Xiaofeng Lu, Shuhui Wang, Zhiying Du, Dongbin Pei, Dingyuan Zheng, Tongchun Zuo
Corresponding Author
Xiaofeng Lu
Available Online January 2014.
DOI
https://doi.org/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.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
2014 International Conference on Computer, Communications and Information Technology (CCIT 2014)
Part of series
Advances in Intelligent Systems Research
Publication Date
January 2014
ISBN
978-90786-77-97-0
ISSN
1951-6851
DOI
https://doi.org/10.2991/ccit-14.2014.34How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

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  - 2014 International Conference on Computer, Communications and Information Technology (CCIT 2014)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/ccit-14.2014.34
DO  - https://doi.org/10.2991/ccit-14.2014.34
ID  - Lu2014/01
ER  -