An improved color-based particle filter and its full hardware implementation

被引:1
|
作者
Wang Y.-M. [1 ]
Pan Y. [1 ]
Yan X.-L. [1 ]
机构
[1] Institute of VLSI Design, Zhejiang University
关键词
Object tracking; Particle filter; Real-time; Scalability;
D O I
10.3724/SP.J.1146.2010.00294
中图分类号
学科分类号
摘要
Nowadays, the research on the implementation of color-based particle filters is facing the problem of tracking accuracy and real-time processing speed. This paper presents a modified color-based particle filter, which basing on the traditional SR resample algorithm, scatters the left particles causing by hardware circuits around the target. Results show that proposed particle filters improve the accuracy and robustness of object tracking. Moreover, the architecture of its full hardware implementation is depicted in the paper. The experimental study on FPGA indicates that the proposed color-based particle filters perform robust tracking at 72 FPS and with 7387 LEs (Logic Element) hardware cost. In addition to that, the framework of scalable distributed particle filters and its resample scheme are presented to adapt more complex scenarios, carrying out multi-feature and multi-target tracking.
引用
收藏
页码:448 / 454
页数:6
相关论文
共 14 条
  • [1] Arulampalam M.S., Maskell S., Gordon N., Et al., A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking, IEEE Transactions on Signal Processing, 50, 2, pp. 174-188, (2002)
  • [2] Doucet A., Gordon N.J., Krishnamurthy V., Particle filters for state estimation of jump Markov linear systems, IEEE Transactions on Signal Processing, 49, 3, pp. 613-624, (2001)
  • [3] Hong S.-H., Shi Z.-G., Chen K.-S., Simplified algorithm and hardware implementation for particle filter applied to bearings-only tracking, Journal of Electronics and Information Technology, 31, 1, pp. 96-100, (2009)
  • [4] Ye B.-L., Zhang Y.-H., Improved FPGA implementation of particle filter for radar tracking applications, Asian-Pacific Conference on Synthetic Aperture Radar, pp. 943-946, (2009)
  • [5] Perez P., Hue C., Vermaak J., Et al., Color-based probabilistic tracking, Proceedings of the 7th European Conference on Computer Vision-Part I, pp. 661-675, (2002)
  • [6] Medeiros H., Park J., Kak A., A parallel color-based particle filter for object tracking, IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, pp. 1-8, (2008)
  • [7] Wang T.-H., Chang J.-Y., Chen L.-G., Algorithm and architecture for object tracking using particle filter, IEEE International Conference on Multimedia and Expo, pp. 1374-1377, (2009)
  • [8] Li G.-Y., Li B., Liu Z., Et al., Implementation and optimization of particle filter tracking algorithm on Multi-DSPs system, IEEE Conference on Cybernetics and Intelligent Systems, pp. 52-157, (2008)
  • [9] Doucet A., Freitas N.D., Gordon N.E., Sequential Monte Carlo Methods in Practice, (2001)
  • [10] Bolic M., Athalye A., Hong S., Et al., Generic hardware architectures for sampling and resampling in particle filters, EURASIP Journal of Applied Signal Processing, 17, pp. 2888-2902, (2005)