[1] Zhang Y, Kiselewich S J, Bauson W A, et al.. Robust moving object detection at distance in the visible spectrum and beyond using a moving camera[C]. Computer Vision and Pattern Recognition Workshop, 2006, 1(1): 131-139.

[2] Kim W J, Kweon I S. Moving object detection and tracking from moving camera[C]. IEEE 2011 8th International Conference, 2011, 1(1): 758-759.

[3] Yu Q, Medioni G. Motion pattern interpretation and detection for tracking moving vehicles in airborne video[C]. IEEE Computer Vision and Pattern Recognition, 2009, 1(1): 2671-2678.

[4] Cheraghi S A, Sheikh U U. Moving object detection using image registration for a moving camera platform[C]. IEEE International Conference, 2012, 1(1): 355-359.

[5] Shen H, Li S, Zhu C, et al.. Moving object detection in aerial video based on spatiotemporal saliency[J]. Chinese Journal of Aeronautics, 2013, 26(5): 1211-1217.

[6] Salvador E, Cavallaro A, Ebrahimi T. Cast shadow segmentation using invariant color features[J]. Computer Vision and Image Understanding, 2004, 95(2): 238-259.

[7] Zhou X, Yang C, Yu W. Moving object detection by detecting contiguous outliers in the low- rank representation[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2013, 35(3): 597-610.

[8] Dey S, Reilly V, Saleemi I, et al.. Detection of Independently Moving Objects in Non- Planar Scenes via Multi- Frame Monocular Epipolar Constraint[M]. Heidelberg: Springer, 2012: 860-873.

[9] 何亮明, 覃荣华, 巩思亮, 等. 动态场景中的改进混合高斯背景模型[J]. 计算机工程, 2012, 38(8): 10-15.

    He Liangming, Tan Ronghua, Gong Siliang, et al.. Improved Gaussian mixture background model in dynamic scene[J]. Computer Engineering, 2012, 38(8): 10-15.

[10] Reilly V, Idrees H, Shah M. Detection and Tracking of Large Number of Targets in Wide Area Surveillance[M]. Heidelberg: Springer, 2010: 186-199.

[11] Vavilin A, Jo K H. Moving object detection and camera motion analysis from moving camera[C]. Annual Conference on IEEE Industrial Electronics Society, 2012, 1(1): 4171-4176.

[12] Chwa D, Dani A, Kim H, et al.. Camera motion estimation for 3-D structure reconstruction of moving objects[C]. 2012 IEEE International Conference, 2012, 1(1): 1788-1793.

[13] Hartley R, Zisserman A. Multiple View Geometry in Computer Vision[M]. Cambridge: Cambridge University Press, 2003.

[14] A Goldstein, R Fattal. Video stabilization using epipolar geometry[J]. ACM Transactions on Graphics. 2012, 31(5): 126.

[15] Newcombe R A, Davison A J. Live dense reconstruction with a single moving camera[C]. Computer Vision and Pattern Recognition, Conference on IEEE, 2010: 1498-1505.

[16] 郭黎, 廖宇, 陈为龙. 基于改进SIFT 的视频超分辨率重建快速配准算法研究[J]. 湖北民族学院学报, 2010, 28(2): 177-180.

    Guo Li, Liao Yu, Chen Weilong. An improved registration algorithm on video super resolution reconstruction[J]. Journal of Hubei University for Nationalities, 2010, 28(2): 177-180.

[17] Zhang Z. A flexible new technique for camera calibration[J]. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 2000, 22(11): 1330-1334.

[18] Harris C, Stephens M. A combined corner and edge detector[C]. Alvey Vision Conference, 1988, 15: 50.

[19] Derpanis K G. The harris corner detector[J]. York University, 2004.

[20] Orguner U, Gustafsson F. Statistical characteristics of harris corner detector[C]. Proceedings of IEEE/SP 14th Workshop on Statistical Signal Processing, 2007: 26-29.

[21] Kalal Z, Mikolajczyk K, Matas J. Forward- backward error: Automatic detection of tracking failures[C]. IEEE International Conference, 2010, 1(1): 2756-2759.

[22] Shi J, Tomasi C. Good features to track[C]. Computer Vision and Pattern Recognition, 1994 1(1): 593-600.

[23] 陈海欣, 顾国华, 钱惟贤, 等. 一种运动相机强视差下运动目标检测方法[J]. 中国激光, 2014, 41(5): 0509002.

    Chen Haixin, Gu Guohua, Qian Weixian, et al.. A method for moving target detection on a moving camera in the presence of a strong parallax[J]. Chinese J Lasers, 2014, 41(5): 0509002.

[24] Moisan L, Stival B. A probabilistic criterion to detect rigid point matches between two images and estimate the fundamental matrix[J]. International Journal of Computer Vision, 2004, 57(3): 201-218.

[25] Valgaerts L, Bruhn A, Mainberger M, et al.. Dense versus sparse approaches for estimating the fundamental matrix[J]. International Journal of Computer Vision, 2012, 96(2): 212-234.

[26] Eshel R, Moses Y. Homography based multiple camera detection and tracking of people in a dense crowd[C]. Computer Vision and Pattern Recognition, IEEE Conference on, 2008: 1-8.

[27] Nascimento J C, Marques J S. Performance evaluation of object detection algorithms for video surveillance[J]. IEEE Transactions on Multimedia, 2006, 8(4): 761-774.