光学 精密工程, 2015, 23 (8): 2339, 网络出版: 2015-10-22   

用基于二值化规范梯度的跟踪学习检测算法高效跟踪目标

Efficient target tracking by TLD based on binary normed gradients
作者单位
1 长春理工大学 电子信息工程学院, 长春,130022
2 中国科学院 长春光学精密机械与物理研究所, 长春,130000
3 东北师范大学 计算机科学与信息技术学院, 长春,130117
引用该论文

程帅, 曹永刚, 孙俊喜, 刘广文, 韩广良. 用基于二值化规范梯度的跟踪学习检测算法高效跟踪目标[J]. 光学 精密工程, 2015, 23(8): 2339.

CHENG Shuai, CAO Yong-gang, SUN Jun-xi, LIU Guang-wen, HAN Guang-liang. Efficient target tracking by TLD based on binary normed gradients[J]. Optics and Precision Engineering, 2015, 23(8): 2339.

参考文献

[1] 郭敬明,何昕,魏仲慧. 基于在线支持向量机的Mean Shift彩色图像跟踪[J]. 液晶与显示, 2014, 29(1): 120-128.

    GUO J M,HE X,WEI ZH H. New mean shift tracking for color image based on online support vector machine[J]. Chinese Journal of Liquid Crystals and Displays, 2014, 29(1): 120-128. (in Chinese)

[2] WU Y, LIM J, YANG M H. Online object tracking: A benchmark [C]. Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, OR, Portland: IEEE, 2013: 2411-2418.

[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] 李静宇,王延杰. 基于子空间的目标跟踪算法研究[J]. 液晶与显示, 2014, 29(4): 617-622.

    LI J Y,WANG Y J. Subspace based target tracking algorithm [J]. Chinese Journal of Liquid Crystals and Displays, 2014, 29(4): 617-622. (in Chinese)

[5] LI H, SHEN C, SHI Q. Real-time visual tracking using compressive sensing[C]. Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, Providence, RI: IEEE, 2011: 1305-1312.

[6] SEVILLA-LARA L, LEARNED-MILLER E. Distribution fields for tracking[C]. Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, Providence, RI: IEEE, 2012: 1910-1917.

[7] GRABNER H, GRABNER M, BISCHOF H. Real-time tracking via on-line boosting[C]. Proceedings of British Machine Vision Conference, Edinburgh, Scotland: BMVA, 2006, 47-56.

[8] GRABNER H, LEISTNER C, BISCHOF H. Semi-supervised on-line boosting for robust tracking[C]. Proceedings of European Conference on Computer Vision, Berlin, Germany: Springer, 2008: 234-247.

[9] KALAL Z, MATAS J, MIKOLAJCZYK K. P-N learning: Bootstrapping binary classifiers by structural constraints[C]. Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, New York ,USA: IEEE, 2010: 49-56.

[10] STALDER S, GRABNER H, VAN G L. Beyond semi-supervised tracking: tracking should be as simple as detection, but not simpler than recognition [C]. Proceedings of International Conference on Computer Vision Workshop, Kyoto, Japan, 2009,1409-1416.

[11] 陈东成, 朱明, 高文,等. 在线加权多示例学习实时目标跟踪[J]. 光学 精密工程,2014,22(6): 1661-1667.

    CHEN D CH, ZHU M, GAO W, et al.. Real-time object tracking via online weighted multiple instance learning[J]. Opt. Precision Eng., 2014, 22(6): 1661-1667. (in Chinese)

[12] 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.

[13] ZHANGA K, SONG H. Real-time visual tracking via online weighted multiple instance learning [J]. Pattern Recognition, 2013, 46(1): 397-411.

[14] KALAL Z, MIKOLAJCZYK K,MATAS J. Tracking-learning-detection[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2012, 34(7): 1409-1422.

[15] 周鑫, 钱秋朦, 叶永强,等. 改进后的TLD视频目标跟踪方法[J]. 中国图象图形学报, 2013,18(9): 1115-1123.

    ZHOU X, QIAN Q M,YE Y Q, et al.. Improved TLD visual target tracking algorithm [J]. Journal of Image and Graphics, 2013, 18(9): 1115-1123. (in Chinese)

[16] 江伟坚, 郭躬德. 复杂环境下高效物体跟踪级联分类器[J]. 中国图象图形学报, 2014, 19(2): 253-265.

    JIANG W J, GUO G D. Efficient cascade classifier for object tracking in complex conditions[J]. Journal of Image and Graphics, 2014,19(2): 253-265. (in Chinese)

[17] VOJIR T, MATAS J. Robustifying the flock of trackers[C]. Proceedings of Computer Vision Winter Workshop, Graz, Austria,2011: 91-97.

[18] ENDRES I, HOIEM D. Category independent object proposals[C]. Proceedings of European Conference on Computer Vision, Berlin, Germany, 2010: 575-588.

[19] ALEXE B, DESELAERS T, FERRARI V. Measuring the objectness of image windows[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2012: 34(11): 2189-2202.

[20] UIJLINGS J, VAN D S, GEVERS T, et al.. Selective search for object recognition[J]. International Journal of Computer Vision, 2013, 104(2): 154-171.

[21] CHENG M M, ZHANG Z M, LIN W Y. BING: binarized normed gradients for objectness estimation at 300fps [C]. Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, Philip, Torr: IEEE, 2014.

[22] BOTTERILL T, MILLS S, GREEN R D. New conditional sampling strategies for speeded-up RANSAC[J]. British Machine Vision Conference, 2009: 1-11.

[23] KALAL Z, MATAS J, MIKOLAJCZYK K. Online learning of robust object detectors during unstable tracking [C]. Proceedings of IEEE International Conference on Computer Vision Workshop, Kyoto, Japan: IEEE, 2009: 1417-1424.

[24] ZHANG Z, WARRELL J, TORR P H . Proposal generation for object detection using cascaded ranking SVMS[C]. Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, Providence, RI : IEEE, 2011: 1497-1504.

[25] NEUBECK A, VAN G L. Efficient non-maximum suppression[C]. Proceedings of International Conference on Pattern Recognition, Hong Kong, China, 2006: 850-855.

[26] YU Q, DINH T B, MEDIONI G. Online tracking and reacquisition using co-trained generative and discriminative trackers[C]. Proceedings of European Conference on Computer Vision, Marseille, France, 2008: 678-691.

[27] STALDER S, GRABNER H, GOOL L V. Beyond semi-supervised tracking: Tracking should be as simple as detection, but not simpler than recognition[C]. Proceedings of International Conference on Computer Vision Workshops, Kyoto, Japan: IEEE, 2009: 1409-1416.

程帅, 曹永刚, 孙俊喜, 刘广文, 韩广良. 用基于二值化规范梯度的跟踪学习检测算法高效跟踪目标[J]. 光学 精密工程, 2015, 23(8): 2339. CHENG Shuai, CAO Yong-gang, SUN Jun-xi, LIU Guang-wen, HAN Guang-liang. Efficient target tracking by TLD based on binary normed gradients[J]. Optics and Precision Engineering, 2015, 23(8): 2339.

本文已被 2 篇论文引用
被引统计数据来源于中国光学期刊网
引用该论文: TXT   |   EndNote

相关论文

加载中...

关于本站 Cookie 的使用提示

中国光学期刊网使用基于 cookie 的技术来更好地为您提供各项服务,点击此处了解我们的隐私策略。 如您需继续使用本网站,请您授权我们使用本地 cookie 来保存部分信息。
全站搜索
您最值得信赖的光电行业旗舰网络服务平台!