[1]
Auzuki, H. Ebine T, Hamada N, Moving objects detection Using motion field constraint with Observer motion parameter, Proceedings of SPIE-The International Society for Optical Engineering. pp.398-405. 3808 Jul20-Jul23 (1999).
DOI: 10.1117/12.365851
Google Scholar
[2]
Peng-ke, Peng-nianxiang, Chen-yanhong, One method of measurement of the rotation of object based on video technology, Computer technology and automation. vol. 21 num 1. pp.67-81, Mar (2010).
Google Scholar
[3]
Li-yushan. Digital Vision and Video Technology, Xian: Xian University of electronic science and technology Press, May 2010, pp.94-99.
Google Scholar
[4]
Sun-jixiang, Image Analysis, Beijing: Science Press, July 2005 , pp.100-102.
Google Scholar
[5]
C. Schnörr, Segmentation of visual motion by minimizing convex non-quadratic functionals, In Proc. Twelfth International Conference on Pattern Recognition, volum A. IEEE Computer Socity Press. Jerusalem, Israel, pp.661-663, Oct. (1994).
DOI: 10.1109/icpr.1994.576391
Google Scholar
[6]
BAI Shun-ke, WANG Feng-quan, Measurement of Vibration Amplitude by Time-Average Imaging, Journal of southeast university(Natural science Edition), vol. 04, pp.31-44.December (1999).
Google Scholar
[7]
Maitre, Henri, Contribution to the Prediction of Performances of the Hough Transform, vol. PAMI-8 Issue: 5, p.669 – 674, Sept (1986).
Google Scholar
[8]
Hart, P. E, How the Hough transform was invented, Signal Processing Magazine, IEEE Issue, Vo. 26 Issue: 6 , p.18 – 22, November (2009).
DOI: 10.1109/msp.2009.934181
Google Scholar
[9]
Davison, A.J. Dept. of Eng. Sci. Oxford Univ, Real-time simultaneous localisation and mapping with a single camera, Computer Vision, 2003. Proceedings. Ninth IEEE International Conference, vol. 2, p.1403 – 1410, Oct. (2003).
DOI: 10.1109/iccv.2003.1238654
Google Scholar
[10]
Xi Cai, Guang Han, Jinkuan Wang, Image Fusion Method Based on Directional Contrast-Inspired Unit-Linking Pulse Coupled Neural Networks in Contourlet Domain, Journal of Computers, Vol 8, No 6, pp.1544-1551, Jun (2013).
DOI: 10.4304/jcp.8.6.1544-1551
Google Scholar
[11]
Wenhui Li, Peixun Liu, Ying Wang, Huiying Li, Bo Fu, Hongyin Ni, Early Flame Detection in Video Sequences based on D-S Evidence Theory, Journal of Computers, Vol 8, No 3, pp.818-825, Mar (2013).
DOI: 10.4304/jcp.8.3.818-825
Google Scholar
[12]
Jianfeng Li; Beiji Zou; Lei Ding; Xu Gao, Image Segmentation with PCNN Model and Immune Algorithm, Journal of Computers, Vol. 8 Issue 9, pp.2429-2436, Sep2013.
Google Scholar
[13]
K. Uornori, Automatic image stabilizing system by full-digital signal processing, IEEE Trans. on Consumer Electronics, vol. 36, no. 3, pp.510-519, Aug. (1990).
DOI: 10.1109/30.103167
Google Scholar
[14]
J. -K. Paik,Y. -C. Park, and D. -W. Kim, An adaptive motion decisionsystem for digitalirnage stabilker based on edge pattern matching, IEEE Trans. on Consumer Electronics, vol. 38, no. 3, pp.607-615, Aug. (1992).
DOI: 10.1109/30.156744
Google Scholar
[15]
T. Kinugasa,N. Yamamoto,H. Komatsu. Electronic image stabilizer for video camera use, IEEE Trans. on Consumer Electronics, vol. 36. no, 3. pp.520-525, Aug. (1990).
DOI: 10.1109/30.103168
Google Scholar
[16]
S. -J. KO,S. -H. Lee, and K. -H. Lee, Digital image stabilizing algorithms based on bit-plane matching, IEEE Trans. on Consumer Electronics, . vol. 44. no. 3. pp.617-622, Aug. (1998).
DOI: 10.1109/30.713172
Google Scholar
[17]
Ko S., Lee S., Jeon S., Kang E. Fast digital image stabilizer based on gray-coded bit-plane matching. IEEE Transactions on Consumer Electronics, vol. 45(3) pp: 598~603, June (1999).
DOI: 10.1109/30.793546
Google Scholar