Ahmed Alostaz and Basil Hamed


  1. [1] H.M. Deeand S.A. Velastin, How close are we to solving theproblem of automated visual surveillance? Machine Visionand Applications, 19, 2008, 329–343.
  2. [2] J. Klein, C. Lecomte, and P. Miche, Preceding car tracking usingbelief functions and a particle filter 2008 19th InternationalConf. on Pattern Recognition (2008 ICPR), IEEE, Tampa,FL, 2008, 1–4.
  3. [3] L. Mejias, P. Campoy, S. Saripalli, and G. Sukhatme, A visualservoing approach for tracking features in urban areas usingan autonomous helicopter, Proc. of 2006 IEEE InternationalConf. on Robotics and Automation (2006 ICRA), Orlando,FL, 2503–2508.
  4. [4] L. Mihaylova, P. Brasnett, N. Canagarajah, and D. Bull, Objecttracking by particle filtering techniques in video sequences,Advances and challenges in multisensor data and information,(IOS Press Ebooks, 2007), 260–268.
  5. [5] Z. Hao, X. Zhang, H. Li, and J. Li, Video object tracking basedon swarm optimized particle filter, 2010 2nd InternationalConf. on Industrial Mechatronics and Automation (ICIMA2010), IEEE, Chengdu, China, 2010, 702–706.
  6. [6] Z. Xiaowei, L. Hong, and S. Xiaohong, Object tracking with anevolutionary particle filter based on self-adaptive multi-featuresfusion, International Journal of Advanced Robotic Systems,10, 2013.
  7. [7] Z. Hao, X. Zhang, P. Yu, and H. Li, Video object tracingbased on particle filter with ant colony optimization, 2ndInternational Conf. on Advanced Computer Control (ICACC2010), IEEE, Shenyang, China, 2010, 232–236.
  8. [8] M. Alhanjouri and A. Al-Ostaz, BFO vs. BSO for video objecttracking using particle filter (PF), Journal of Emerging Trendsin Computing and Information Sciences, 4, 2013, 8.
  9. [9] M. El-Bardini, E. Elsheikh, and M. Fkirin, Real time objecttracking using image based visual servo technique, Interna-tional Journal of Computer Science & Emerging Technologies2, 2011, 6.
  10. [10] A. Qadir, W. Semke, and J. Neubert, Vision based neuro-fuzzy controller for a two axes gimbal system with small UAV,Journal of Intelligent & Robotic Systems, 74(3), 2013, 1–19.
  11. [11] H. Zhongliang and W. Xingsong, Position control of servopress system based on fuzzy PID, 2012 24th Chinese Controland Decision Conf. (CCDC), IEEE, Taiyuan, China, 2012,4068–4073.
  12. [12] Z. Chen, Bayesian filtering: From Kalman filters to particlefilters, and beyond, Statistics 182 2003, 1–69.
  13. [13] J.V. Candy, Bayesian signal processing: Classical, modernand particle filtering methods (United Kingdom: John Wiley& Sons, 2011).
  14. [14] Z. Al-Hamouz, S.F. Faisal, and S. Al-Sharif, Application ofparticle swarm optimization algorithm for optimal reactivepower planning, (201) Control and Intelligent Systems, 2007.
  15. [15] M.T. Das and L.C. D¨ulger, Control of a scara robot: PSO-PIDapproach, (201) Control and Intelligent Systems, 2010.
  16. [16] J. Kennedy and R. Eberhart, Particle swarm optimization,Proc. of IEEE International Conf. on Neural Networks, Perth,Australia, 1995, 1942–1948.
  17. [17] S.S. Rao and S. Rao, Engineering optimization: theory andpractice (United Kingdom: John Wiley & Sons, 2009).
  18. [18] A. Alostaz and M. Alhanjouri, A new adaptive BFO basedON PSO for learning neural network. i-manager ’s Journal ofComputer Science, 1, 2013, 8.
  19. [19] K.M. Passino, Biomimicry for optimization, control, and au-tomation (United Kingdom: Springer; 2005).
  20. [20] K.-Y. Liu, S.-Q. Li, L. Tang, L. Wang, and W. Liu, Fast facetracking using parallel particle filter algorithm, 2009 IEEEInternational Conf. on Multimedia and Expo (2009 ICME),IEEE, New York, NY, 2009, 1302–1305.
  21. [21] R. Chen, Z. Zhang, H. Lu, H. Cui, and Y. Yan, Particle-filter-based object tracking with color and texture information fusion,Sixth International Symp. on Multispectral Image Processingand Pattern Recognition, International Society for Optics andPhotonics, Yichang, China, 2009, 74952F-74952F-74958.
  22. [22] J. Ma, C. Han, and Y. Chen, Efficient visual tracking usingparticle filter, 2007 10th International Conf. on InformationFusion, IEEE, Quebec, Canada, 2007, 1–6.
  23. [23] T.R. Rangaswamy, J. Shanmugam, and K.P. Mohammed,Adaptive fuzzy tuned PID controller for combustion of utilityboiler, (201) Control and Intelligent Systems, 2005.
  24. [24] Z.-L. Huo and X.-S. Wang, Position control of servo presssystem based on Fuzzy-PID, Forging & Stamping Technology,5, 2011, 026.

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