Parallel Particle Filter Algorithm and Its FPGA Implementation
Xiaofeng Lu, Shuhui Wang, Zhiying Du, Dongbin Pei, Dingyuan Zheng, Tongchun Zuo
Available Online January 2014.
- https://doi.org/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.
- 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 -