• Laser & Optoelectronics Progress
  • Vol. 52, Issue 9, 91501 (2015)
Ding Qi*, Gu Guohua, Xu Fuyuan, Ren Kan, Qian Weixian, and Chen Qian
Author Affiliations
  • [in Chinese]
  • show less
    DOI: 10.3788/lop52.091501 Cite this Article Set citation alerts
    Ding Qi, Gu Guohua, Xu Fuyuan, Ren Kan, Qian Weixian, Chen Qian. Moving Target Detection on Moving Camera with the Presence of Strong Parallax[J]. Laser & Optoelectronics Progress, 2015, 52(9): 91501 Copy Citation Text show less
    References

    [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] 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] 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] 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.

    CLP Journals

    [1] Mo Shaowen, Deng Xinpu, Wang Shuai, Jiang Dan, Zhu Zhoupeng. Moving Object Detection Algorithm Based on Improved Visual Background Extractor[J]. Acta Optica Sinica, 2016, 36(6): 615001

    [2] Chen Haiyong, Qie Lizhong, Yang Dedong, Liu Kun, Li Lianbing. Visual Background Extraction Algorithm Based on Superpixel Information Feedback[J]. Acta Optica Sinica, 2017, 37(7): 715001

    [3] Chen Qiang, Sheng Huixing, Zhang Zhuo, Xie Yingjuan, Zhang Xuewu. Moving Object Detection Under Infrared Light Mutation[J]. Laser & Optoelectronics Progress, 2016, 53(11): 111005

    [4] Lü Yaoyu, Gu Yingying, Gao Zhanyu, Xu Zhenbang, Liu Hongwei, Wu Qingwen. Design and Experiment of the Monocular Vision Measurement System Based on Spatial Cooperation Pose[J]. Laser & Optoelectronics Progress, 2017, 54(12): 121505

    [5] Zhang Lijuan, Zhou Zhiping. An Improved Discrete-Continuous Energy Minimization for Multi-Target Tracking[J]. Laser & Optoelectronics Progress, 2017, 54(11): 111502

    Ding Qi, Gu Guohua, Xu Fuyuan, Ren Kan, Qian Weixian, Chen Qian. Moving Target Detection on Moving Camera with the Presence of Strong Parallax[J]. Laser & Optoelectronics Progress, 2015, 52(9): 91501
    Download Citation