An Overview and Analysis of Electronic Stabilization for Cameras on Moving Vehicles

Abstract:

Electronic image stabilization (EIS) is the technology which detects and removes camera jitter in image sequences by digital image processing methods. It has been widely used in moving vehicles such as airborne, shipboard and vehicle-mounted camera systems. This paper firstly introduces the basic principle and structure of EIS system. Then the key techniques for each module are introduced and compared in processing speed and application scenes. The motion estimation method based on feature points is emphatically analyzed. Some experimental simulations and further discussion are made on the existing motion filtering and compensation methods. We also summarize the evaluation criteria for EIS performance. Finally the future research trend of EIS system is presented.

• Periodical: Applied Mechanics and Materials (Volume 740)
• Pages: 612-618
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.740.612
• Online since: March 2015
• Authors: Juan Juan Zhu, Wen Ling Zheng, Bao Long Guo
• Keywords: Electronic Image Stabilization, Evaluation Criterion, Motion Compensation, Motion Estimation, Motion Filter

References

[1] Kexiang L., Jie Q., Ruike Y in: Image Analysis and Signal Processing. pp.223-227(2010).

[2] Avishek Saha, Jayanta Mukherjee, hamik Sural in: Signal Processing Image Communication. 26(9), pp.438-454(2011).

[3] Zhiqiang Zhao, Ying Chen in: Opto-Electronic Engineering (In Chinese). 38(6): 146-150, (2011).

[4] Lidong Xu, Xinggang L in: IEEE Trans. on Consumer Electronic. 52(2), pp.566-574(2006).

DOI: 10.1109/tce.2006.1649681

[5] Guodong Zhang, Mingquan Wang, Dong Guo in: Microelectronics & computer (In Chinese). 27(10), pp.53-56(2010).

[6] Yunguang Qi, Gang An, Zhengbo Gong in: Computer Engineering (In Chinese). 36(6), pp.230-232(2012).

[7] Junbo Wang, Xing-fu Sun, Lei Zhu in: Computer Development & Application (In Chinese). 25(9), pp.21-26(2012).

[8] Xuehai Gu, Li-ping Wang in: Applied Optics (In Chinese). 34(6), pp.957-963(2013).

[9] Kuglin C D, Hines D C in: IEEE Conference on Cybernetics. pp.163-165(1975).

[10] Hui Xing, Jinglong Yan in: Opto-electronic Engineering (In Chinese). 34(3), pp.37-41(2007).

[11] Harris C, Stephens M. edited in Proceeding of 4th Alvey Vision Conference. pp.147-151(1998).

[12] SMITH S M, BRADY M in: Journal of Computer Vision. 23(1), pp.45-78(1997).

[13] Peng Yan, Ru An in: Infrared and Laser Engineering (In Chinese). 38(6), pp.1104-1108(2009).

[14] LOWER D edited in International Journal of Computer Vision. 60(2), pp.91-110(2004).

[15] Herbert Bay, Andreas Ess in: Computer Vision and Image Understanding. 110(3), p.346–359(2008).

[16] Fischler M A, Bolles R C in: Communications of the ACM. 24(6), pp.381-395(1981).

[17] M K Gullu, E Yaman, S Erturk in: Electronics Letters. 39(5), pp.429-431(2003).

[18] R L Kirlin, A Monghaddamjoo in: IEEE Transaction on Acoustics. 34(2), pp.252-263(1986).

[19] Chuan Ge in: Xian: Xidian University (In Chinese). (2011).

[20] Jing Zhou, Xiangao Huang in: Instrumentation customer. 16(3), pp.71-73(2009).

[21] YAO J., J. Xiaoyu in: Optics and precision engineering. 17(5), pp.1105-1110, (2009).

[22] Yasuyuki Matsushita in: IEEE Transactions on Pattern Analysis and Machine Intelligence. 2005(1), pp.50-57.

[23] Yuhong Liu in: National University of Defense Technology (In Chinese). (2007).

[24] Gaojie Liu, Guohua Zhang in: Electronic Optics & control (In Chinese). 18(3)(2011).

[25] Yuefei Zhang in: Chengdu: University of electronic science and technology of china (In Chinese), (2011).

[26] Matti Niskanen, Olli Silven edited in: ICME. pp.405-408, (2006).