Real time mean shift tracking method based on human vision non-uniform sampling

Guangzi Xuebao/Acta Photonica Sinica

Volumn 38, Issue 3, 2009, Pages 719-724

  Sun, Xiao Wei ^a   Li, Yan Jun ^a   Chen, Yi ^a  

^a NORTHWESTERN POLYTECHNICAL UNIVERSITY   (China)

Author keywords

Fourier series; Log polar transform; Matching point drift; Mean Shift; Non uniform sampling

Indexed keywords

EID: 65349165356     PISSN: 10044213     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (20)

1. XIONG Hui-lin, ZHANG Tian-xu, SANG Nong, et al. Study on image matching based on wavelet multiresolution representation[J]. Infrared and Laser Engineering, 1999, 28(3): 1-4.
2. SHI Ze-lin, WANG Jun-qing, HUANG Sha-bai. Tracking of deformable objects in complex scene[J]. Opto-Electronic Engineering, 2005, 32(1): 31-35.
3. SCHWARTZ E L, GREVE D N, BONMASSAR G. Space-variant active vision: definition, overview and example[J]. Neural Works, 1995, 8(7): 1297-1308.
4. DANIEL P M, WHITTERIDGE D. The representation of the visual field on the cerebral cortex in monkeys[J]. Journal of Physiology, 1961, 159: 203-221.
5. SCHWARTZ E L. Spatial. Mapping in the primate sensory projection: Analytic structure and relevance to perception[C]. Biol. Cybernetics, 1977, 25: 181-194.
6. HUBEL D H, WIESEL T N. Functional architecture of macaque monkey cortex[C]. Proc. R. Soc. Lond, 1977, 1-59.
7. WANG Li, LI Yan-jun, ZHANG Ke. The application of target recognition algorithm based on log-polar transformation for imaging guidance[J]. Journal of Astronautic, 2005, 36(3): 330-333.
8. FUKUNAGA K, HOSTETLER L D. The estimation of the gradient of a density function, with applications in pattern recognition[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1975, 21(1): 32-40.
9. CHENG Yi-zong. Mean shift, mode seeking, and clustering[J]. IEEE Trans. Pattern Analysis and Machine Intelligence, 1995, 17(8): 790-799.
10. COMANICIU D, MEER P. Mean shift: A robust approach toward feature space analysis[J]. IEEE Trans. on Pattern Analysis and Machine Intelligence, 2002, 24(5): 603-619.
11. WEN Zhi-qiang, CAI Zi-xin. Convergence analysis of mean shift algorithm[J]. Journal of Software, 2007, 18(2): 205-212.
12. WANG Yong-zhong, ZHAO Chun-hui, LANG Yan, et al. A method for ir imaging target tracking based on texture feature[J]. Acta Photonica Sinica, 2007, 36(11): 2163-2167.
13. GREENGARD L, STRAIN J. The fast gauss transform[J]. SIAM J. Sci. Stat. Compu, 1991, 12(1): 79-94.
14. YANG C, DURAISWAMI R, GUMEROV N A, et al. Improved fast Gauss transform and efficient kernel density estimation[C]. In IEEE Int. Conf. on Computer Vision, Nice. France, 2003, 464-471.
15. COMANICIU D, RAMESH V, MEER P. Kernel-based object tracking[J]. IEEE Trans. on Pattern Analysis and Machine Intelligence, 2003, 25(5): 564-577.
16. ELGAMMAL A, DURAISWAMI R, DAVIS L. Probabilistic tracking in joint feature-spatial spaces[C]. In Proc. IEEE Conf. Comp. Vision Pattern Recognition, volume I, Madison. WI, 2003, 781-788.
17. COMANICIU D, MEER P. Mean shift analysis and application[C]. In Proc. Of the Seventh IEEE International Conference, Computer Vision, Kerkyra. Greece, 1999, 1197-1203.
18. WANG Guo-fu, YU Fa-shan, WANG Xu-dong, et al. Study of image stabilizing algorithm for airborne electro-optical tracking system[J]. Acta Photonica Sinica, 2007, 36(Sup1): 253-255.
19. LOU Yue, XIANG-LI Bin, LIU Bo. A fast background roughness-based infrared navel vessel target detection algorithm[J]. Acta Photonica Sinica, 36(9): 1759-1763.
20. SHI Ze-lin, WANG Jun-qing, HUANG Sha-bai. Detection of a moving object via feature tracking[J]. Opto-Electronic Engineering, 2005, 32(9): 12-15.