|
|
Design of MultiObjects RealTime Tracking System Based on Genetic Algorithms |
YANG ShuYing1,2,HE PeiLian1 |
1.School of Computer Science and Technology,Tianjin University,Tianjin 300072 2.Department of Computer Science and Engineering, Tianjin University of Technology, Tianjin 300191 |
|
|
Abstract The detection and recognition about moving objects in video tracking system are presented in this paper. Moving objects are separated from the background by multiframe difference. According to the average value in different area, the dynamic threshold can be found, and the image is transformed into binary one. Then some invariant characteristics are extracted and used for recognition by genetic algorithm. The experiment result shows the method can detect moving targets and cluster them quickly.
|
Received: 20 January 2005
|
|
|
|
|
[1] Michalewicz Z. Genetic Algorithms + Data Structures = Evolution Programs. Berlin, Germany: Springer-Verlag, 1996 [2] Zhou M, Sun S D. Genetic Algorithm Theory and Application. Beijing, China: National Defense Industry Press, 1999 (in Chinese) (周 明,孙树栋.遗传算法原理及应用.北京:国防工业出版社, 1999) [3] Liu Y, Kang L S, Chen Y P. Non-Numberical Parallel Algorithm-Genetic Algorithm. Beijing, China: Science Press, 1998 (in Chinese) (刘 勇,康立山,陈毓屏.非数值并行算法——遗传算法.北京:科学出版社, 1998) [4] Stein F, Medioni G. Map-Based Localization Using the Panoramic Horizon. In: Proc of the IEEE International Conference on Robotics and Automation. Nice, France, 1992, Ⅲ: 2631-2637 [5] Vieren C, Cabestaing F, Postaire J G. Catching Moving Objects with Snakes for Motion Tracking. Pattern Recognition Letters, 1995, 16(7): 679-685 [6] Reed I S, Gagliardi R M, Stotts L B. A Recursive Moving –Target-Indication Algorithm for Optical Image Sequences. IEEE Trans on Aerospace and Electronic Systems, 1990, 26(3): 434-439 [7] Yang S Y. VC++Image Manipulation Programming. Beijing, China: Tsinghua University Press, 2003 (in Chinese) (杨淑莹.VC++图像处理程序设计.北京:清华大学出版社, 2003) [8] Jiang Y, Gao Q J, Hu D D. Research on Object Recognition of Mobile Robot Based on Image Information and BP Network.Pattern Recognition and Artificial Intelligence, 2005, 18(3): 322-327 (in Chinese) (姜 延,高庆吉,胡丹丹.基于图像信息和BP网络的机器人目标识别技术研究.模式识别与人工智能, 2005, 18(3): 322-327) [9] Chao K, Srinath M D. Invariant Character Recognition with Zernike and Orthogonal Fourier-Mellin Moments. Pattern Recognition, 2002, 35(1): 143-154 [10] Goldberg D E. Genetic Algorithms in Search, Optimization, and Machine Learning. Boston, USA: Addison-Wesley, 1989 |
|
|
|