Kalal Z, Matas J, Mikolajczyk K. Online learning of robust object detectors during unstable tracking[C]//Proceedings of 12th International Conference on Computer vision workshops. New York: IEEE Xplore, 2009: 1417-1424.
[2]
Lowe D G. Distinctive image features from scale-invariant keypoints[J]. International Journal of Computer Vision, 2004, 60(2): 91-110.
[3]
Ross D A, Lim J, Lin R S, et al. Incremental learning for robust visual tracking[J]. International Journal of Computer Vision, 2008, 77(1-3): 125-141.
[4]
Lucas B D, Kanade T. An iterative image registration technique with an application to stereo vision[C]//Proceedings of the 7th International Joint Conference on Artificial Intelligence. Vancouvor, canada: citeseer, 1981:674-679.
[5]
Dalal N, Triggs B. Histograms of oriented gradients for human detection[C]//Proceedings of Computer Vision and Pattern Recognition, IEEE Computer Society Conference on. San Diego, CA: IEEE 2005, 1: 886-893.
[6]
Viola P, Jones M. Rapid object detection using a boosted cascade of simple features[C]//Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition washington DC: IEEE, 2001, 1:511-518.
[7]
Porikli F. Integral histogram: a fast way to extract histograms in cartesian spaces[C]//Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Washington DC: IEEE 2005, 1: 829-836.
[8]
Lowe D G. Object recognition from local scale-invariant features[C]//Proceedings of the Seventh IEEE International Conference on Computer Vision, Kerkyra: IEEE, 1999, 2: 1150-1157.
[9]
Bay H, Tuytelaars T, Van Gool L. Surf: Speeded up Robust Features. Computer Vision-ECCV 2006[M]. New York: Springer, 2006: 404-417.
[10]
更多...
[11]
Alahi A, Ortiz R, Vandergheynst P. Freak: Fast retina keypoint[C]//Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, Providence RI: IEEE 2012: 510-517.
[12]
Ozuysal M, Fua P, Lepetit V. Fast keypoint recognition in ten lines of code[C]//Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, Minneapolis. MN: IEEE 2007: 1-8.
[13]
Kwon J, Lee K M. Visual tracking decomposition[C]//Procee-dings of IEEE Conference on Computer Vision and Pattern Recognition. San Francisco. CA: IEEE 2010: 1269-1276.
[14]
Rublee E, Rabaud V, Konolige K, et al. ORB: an efficient alternative to SIFT or SURF[C]//Proceedings of 2011 IEEE International Conference on Computer Vision. Barcelona, Spain: IEEE, 2011:2564-2571.
[15]
Santner J, Leistner C, Saffari A, et al. Prost: parallel robust online simple tracking[C]//Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR) San Francisco, CA: IEEE 2010: 723-730.
[16]
Tomas Vojir. Tracking Dataset[EB/OL].2013-02[2013-06-06] http://cmp.felk.cvut.cz/vojirtom/dataset/index.html.
[17]
Kalal Z, Matas J, Mikolajczyk K. Pn learning:Bootstrapping binary classifiers by structural constraints[C]//Proceedings of Conference on Computer Vision and Pattern Recognition.New York: IEEE Press, 2010: 49-56.
[18]
Kalal Z, Mikolajczyk K, Matas J. Forward-backward error: Automatic detection of tracking failures[C]//Proceedings of 20th International Conference on Pattern Recognition. New York: IEEE Press, 2010: 2756-2759.
[19]
Adam A, Rivlin E, Shimshoni I. Robust fragments-based tracking using the integral histogram[C]//Proceedings of Computer Society Conference on Computer Vision and Pattern Recognition. New York: IEEE Press, 2006:798-805.
[20]
Klein D A, Schulz D, Frintrop S, et al. Adaptive real-time video-tracking for arbitrary objects[C]//Proceedings of International Conference on Intelligent Robots and Systems. New York: IEEE Press, 2010: 772-777.
[21]
Zhang K, Zhang L, Yang M H. Real-time Compressive Tracking. Computer Vision-ECCV 2012[M]. New York: Springer, 2012: 864-877.
[22]
Gu S, Zheng Y, Tomasi C. Efficient visual object tracking with online nearest neighbor classifier[M]. New York: Springer, 2011: 271-282.
[23]
Grabner H, Grabner M, Bischof H. Real-time tracking via on-line boosting[J]. Proceedings of the British Machine Vision Conference. Edinburgh, UK: British Machine Vision Association 2006, 1(5): 4-7.
[24]
Babenko B, Yang M H, Belongie S. Robust object tracking with online multiple instance learning[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2011, 33(8): 1619-1632.
[25]
Hare S, Saffari A, Torr P H S. Struck: Structured output tracking with kernels[C]//Proceedings of IEEE International Conference on Computer Vision. Barcelona, Spain: IEEE, 2011:263-270.
[26]
Yilmaz A, Javed O, Shah M. Object tracking: a survey[J]. ACM Computing Surveys, 2006, 38(4): 13.
[27]
Yang H, Shao L, Zheng F, et al. Recent advances and trends in visual tracking: a review[J]. Neurocomputing, 2011, 74(18): 3823-3831.
