[1] STAUFFER C, GRIMSON W E L. Adaptive background mixture models for real-time tracking [C]. IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1999, 2: 246-252.
[2] KRAVCHONOK A. Detection of moving objects in video sequences by the computation of optical flow based on region growing [J]. Pattern Recognition and Image Analysis, 2011, 21(2): 283-286.
[3] KIM J, WANG X F, WANG H, et al.. Fast moving object detection with non-stationary background [J]. Multimedia Tools and Applications, 2012, 67(1): 311-335.
[4] YU X Q, CHEN X N, JIANG M Y. Motion detection in moving background using a novel algorithm based on image features guiding self-adaptive sequential similarity detection algorithm [J]. Optik, 2012, 123(22): 2031-2037.
[5] SUHR J K, JUNG H G, LI G, et al.. Background compensation for pan-tilt-zoom cameras using 1-D feature matching and outlier rejection [J]. IEEE transactions on circuits and systems for video technology, 2011, 21(3): 371-377.
[9] EDUPUGANTI V G, AGARWAL V A, KOMPALLI S. Registration of camera captured documents under non-rigid deformation [C]. 2011 IEEE Conference on Computer Vision and Pattern Recognition(CVPR), 2011: 385-392.
[10] DAVID G LOWE. Distinctive image features from scale-invariant keypoints [J]. International Journal of Computer Vision, 2004, 60(3): 91-110.
[11] BAY H, ESS A, TUYTELAARS T, et al.. Speeded-up Robust Features(SURF) [J]. Computer Vision and Image Understanding, 2008, 110(3): 346-359.
[14] AGRAWAL M, KONOLIGE K, BLAS M R. CenSurE: Center Surround Extremas for Realtime Feature Detection and Matching [C]. European Conference on Computer Vision, 2008: 102-115.
[15] MICHAEL C Y, DAVID G L, SEPTIMIU E S, et al.. Real-Time Methods for Long-Term Tissue Feature Tracking in Endoscopic Scenes [C]. International Conference on Information Processing in Computer-Assisted Interventions, 2012: 33-43.
[16] KWAK N, ARISUMI H, YOKOI K. Visual recognition of a door and its knob for a humanoid robot [C]. IEEE International Conference on Robotics and Automation, 2011: 2079-2084.
[17] OSTUN. A threshold selection method from gray-level histogram [J]. IEEE Transactions on Systems, Man and Cybernetics, 1979, 9(1): 62-69.