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  • 學位論文

以軟硬體協同設計之粒子濾波器及其在影像追蹤之應用

Hardware/Software Co-design for Particle Filter and Its Applications in Object Tracking

指導教授 : 許陳鑑

摘要


本文是提出一可程式規劃系統晶片(System On Program Chip, SOPC) 之系統架構,針對粒子濾波器演算法,利用FPGA(Field Programming Gate Array)的硬體電路優勢,以軟硬體協同設計(HW/SW co-design)之方式實現硬體加速之功能,提升之演算法執行效率。藉由軟硬體緊密的合作,可以加快執行速度,也由於有彈性的設計方式,使得在解決各種問題時不需要重新設計硬體。最後,本文將以該軟硬體協同設計方式實現之粒子濾波器,配合多主從系統架構設計一物體影像即時追蹤系統,以驗證系統之性能表現。

並列摘要


This paper presents a hardware/software (HW/SW) co-design approach using SOPC technique and pipeline design method to improve the execution performance of particle filter (PF) for embedded applications. Based on modular design architecture, a particle updating accelerator module via hardware implementation for updating particles and a weight evaluation module implemented on a soft-cored processor for calculating weighting for each particle are respectively designed and work closely together to accelerate the execution process. Thanks to a flexible design, the proposed approach can tackle various problems of embedded applications without the need for hardware redesign. Experiment results have demonstrated that the proposed HW/SW co-deign approach to realize particle filters has good computational efficiency to achieve a high-quality solution effectively. Finally, we realize the proposed particle filter with multi-master system architecture design to establish an image processing system for real-time object tracking

並列關鍵字

Particle Filter HW/SW co-design FPGA SOPC Object Tracking

參考文獻


[2] Y. Rui and Y. Chen, “Better proposal distributions: object tracking using unscented particle filter,” IEEE Computer Vision and Pattern Recognition, pp. 786-793, 2001.
[4] P. M. Djuric, T. Lu, and M. F. Bugallo, “Multiple particle filtering,”ICASSP’07, pp. III-1181-III1184, 2007.
[5] Y. C. Ho, R. C. K. Lee, “A Bayesian approach to problems in stochastic estimation and control,” IEEE Transactions on Automatic Control, vol. AC-9, pp. 333-339, 1964.
[6] H. Jayesh, Kotecha and P. M. Djuric, “Gaussian Particle Filtering,” IEEE Transactions on Signal Processing, vol. 51, no. 10, 2003, pp. 2595-2601.
[7] N. de Freitas, “Rao-Blackwellised particle filtering for fault diagnosis,” IEEE Aerospace, 2002.

被引用紀錄


林玟玲(2011)。以軟硬體協同設計之混合型即時影像物體追蹤系統〔碩士論文,淡江大學〕。華藝線上圖書館。https://doi.org/10.6846/TKU.2011.00909
陳冠廷(2011)。基於Kinect之雙手位移辨識系統〔碩士論文,淡江大學〕。華藝線上圖書館。https://doi.org/10.6846/TKU.2011.00130

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