Opto-Electronic Engineering, Volume. 34, Issue 8, 20(2007)
Infrared imaging tracking algorithm based on the SVM
References(6)
[2] [2] Horn B,Schunck B.Determining optical flow[J].Artificial Intelligence,1981,17:185-203.
[3] [3] Vapnik V N.The Nature of Statistical Learning Theory[M].New York:Springer Verlag,1995.
[4] [4] Vapnik V N.Statistical Learning Theory[M].New York:John Wiley & Sons,1998.
[6] [6] Burges C J C.A Tutorial on Support Vector Machines for Pattern Recognition[J].Data Mining and Knowledge Discovery,1998,2(2):1-47.
[7] [7] Sebald D J,Buchlew J A.Support Vector Machine and the Multiple Hypothesis Test Problem[J].IEEE Trans on Signal Processing,2001,49(11):2865-2872.
[8] [8] Chapelle O,Vapnik V,Bacsquest O,et al.Choosing Multiple Parameters for Support Vector Machines[J].Machine Learning,2002,46(1):131-159.
Tools
Get Citation
Copy Citation Text
[in Chinese], [in Chinese], [in Chinese], [in Chinese]. Infrared imaging tracking algorithm based on the SVM[J]. Opto-Electronic Engineering, 2007, 34(8): 20
Paper Information
© Copyright 2018-2021 | Chinese Laser Press.
All Rights Reserved 沪ICP备15018463号-20