Information Technology Reference
In-Depth Information
12.
Khare, A., Tiwary, U.S.: Symmetric Daubechies complex wavelet transform and its appli-
cation to denoising and deblurring. WSEAS Transactions on Signal Processing
2
(5),
738-745 (2006)
13.
Khare, M., Srivastava, R.K., Khare, A.: Single Change Detection based Moving Object
Segmentation by using Daubechies Complex Wavelet Transform. Accepted in IET Image
Processing (2013). doi:10.1049/iet-ipr.2012.0428
14.
Renno, J.P., Makris, D., Jones, G.A.: Object classification in visual surveillance using
Adaboost. In: Proceeding of IEEE International Conference on Computer Vision and Pat-
tern Recognition (CVPR), pp. 1-8 (2007)
15.
Chen, L., Feris, R., Zhai, Y., Brown, L., Hampapur, A.: An integrated system for moving
object classification in surveillance videos. In: Proceeding of IEEE International Confer-
ence on Advanced Video and Signal Based Surveillance, pp. 52-59 (2008)
16.
Castleman, K.R.: Digital Image Processing. Prentice Hall, Englewood Cliffs, NJ, USA
(1996)
17.
Selesnick, I.W., Baraniuk, R.G., Kingsbury, N.G.: The Dual-Tree Complex Wavelet
Transform. IEEE Signal Processing Magazine
22
(6), 123-151 (2005)
18.
Kingsbury, N. G.: The Dual-Tree Complex Wavelet Transform - A New Technique for
Shift Invariance and Directional Filters. In: Proceeding 8th IEEE DSP Workshop, Bryce
Canyon (1998)
19.
Teague, M.: Image analysis via the general theory of moments. Journal of Optical Society
of America
70
(8), 920-930 (1980)
20.
Hwang, S.K., Kim, W.Y.: A Novel approach to the fast computation of Zernike moments.
Pattern Recognition
39
(11), 2065-2076 (2006)
21.
Celebi, E. M., Aslandogan, Y. A.: A comparative study of three moment based shape de-
scriptors. In: Proceeding of International Conference on Information Technology: Coding
and Computing (ITCC 2005), vol. I, pp. 788-793 (2005)
22.
Chong, C.W., Raveendran, P., Mukundan, R.: Translation invariance of Zernike moments.
Pattern Recognition
36
(8), 1765-1773 (2003)
23.
Bin, Y., Xiong, P.J.: Invariance analysis of improved Zernike moments. Journal of Optics
A: Pure and Applied Optics.
4
(6), 606-614 (2002)
24.
Papakostas, G.A., Boutalis, Y.S., Karras, D.A., Mertzios, B.G.: A new class of Zernike
moments for computer vision applications. Information Sciences.
177
(13), 2802-2819
(2007)
25.
Farzem, M., Shirani, S.: A robust multimedia watermarking technique using Zernike
transform. In: Proceeding of Fourth IEEE Workshop on Multimedia Signal Processing,
pp. 529-534 (2001)
26.
Zhenjiang, M.: Zernike moment based image shape analysis and its application. Pattern
Recognition Letters
21
(2), 169-177 (2000)
27.
Khare, M., Srivastava, R.K., Khare, A.: Moving Object Segmentation in Daubechies
Complex Wavelet Domain. Accepted in Signal Image and Video Processing (2013).
doi:10.1007/s11760-013-0496-5
28.
Noble, W.S.: What is Support Vector Machine. Nature Biotechnology
24
(12), 1565-1567
(2006)
29.
INRIA Person Dataset. http://pascal.inrialpes.fr/data/human (last accessed September 21,
2014)
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