Comparison of tracking algorithms implemented in OpenCV
暂无分享,去创建一个
Tomáš Dulík | Peter Janku | Karel Koplik | Istvan Szabo | Peter Janků | Tomás Dulík | István Szabó | Karel Koplík
[1] David G. Lowe,et al. Distinctive Image Features from Scale-Invariant Keypoints , 2004, International Journal of Computer Vision.
[2] Luc Van Gool,et al. SURF: Speeded Up Robust Features , 2006, ECCV.
[3] Jiri Matas,et al. Face-TLD: Tracking-Learning-Detection applied to faces , 2010, 2010 IEEE International Conference on Image Processing.
[4] Murti Harry Pandu. PENGENALAN ALFABET SISTEM ISYARAT BAHASA INDONESIA (SIBI) DENGAN SPEEDED UP ROBUST FEATURES (SURF) DAN KONVERSI MENJADI SUARA , 2016 .
[5] Gary R. Bradski,et al. ORB: An efficient alternative to SIFT or SURF , 2011, 2011 International Conference on Computer Vision.
[6] Ming-Hsuan Yang,et al. Object Tracking Benchmark , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[7] Ming-Hsuan Yang,et al. Visual tracking with online Multiple Instance Learning , 2009, CVPR.
[8] Bodong Liang,et al. Real-time moving vehicle detection, tracking, and counting system implemented with OpenCV , 2014, 2014 4th IEEE International Conference on Information Science and Technology.
[9] Yi Wu,et al. Online Object Tracking: A Benchmark , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[10] Jiri Matas,et al. Forward-Backward Error: Automatic Detection of Tracking Failures , 2010, 2010 20th International Conference on Pattern Recognition.
[11] J. Friedman. Special Invited Paper-Additive logistic regression: A statistical view of boosting , 2000 .
[12] Zdenek Kalal,et al. Tracking-Learning-Detection , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[13] Mario Cifrek,et al. A brief introduction to OpenCV , 2012, 2012 Proceedings of the 35th International Convention MIPRO.