Infrared imaging tracking algorithm based on the SVM

[in Chinese]; [in Chinese]; [in Chinese]; [in Chinese]

Journals >Opto-Electronic Engineering >Volume 34 >Issue 8 >Page 20 > Article

Opto-Electronic Engineering
Vol. 34, Issue 8, 20 (2007)

Infrared imaging tracking algorithm based on the SVM

[in Chinese], [in Chinese], [in Chinese], and [in Chinese]

Author Affiliations

[in Chinese]

show less

DOI: Cite this Article

[in Chinese], [in Chinese], [in Chinese], [in Chinese]. Infrared imaging tracking algorithm based on the SVM[J]. Opto-Electronic Engineering, 2007, 34(8): 20 Copy Citation Text

show less

References

[2] Horn B,Schunck B.Determining optical flow[J].Artificial Intelligence,1981,17:185-203.

[3] Vapnik V N.The Nature of Statistical Learning Theory[M].New York:Springer Verlag,1995.

[4] Vapnik V N.Statistical Learning Theory[M].New York:John Wiley & Sons,1998.

[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] 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] Chapelle O,Vapnik V,Bacsquest O,et al.Choosing Multiple Parameters for Support Vector Machines[J].Machine Learning,2002,46(1):131-159.

[in Chinese], [in Chinese], [in Chinese], [in Chinese]. Infrared imaging tracking algorithm based on the SVM[J]. Opto-Electronic Engineering, 2007, 34(8): 20

Download Citation

Tools

Save the article for my favorites

Paper Information