Parallel Particle Filter Algorithm and Its FPGA Implementation
- 10.2991/ccit-14.2014.34How to use a DOI?
- parallel Particle Filter, FPGA, embedded vision
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.
- © 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/).
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 - 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 -