MATEC Web Conf.
Volume 246, 20182018 International Symposium on Water System Operations (ISWSO 2018)
|Number of page(s)||4|
|Section||Parallel Session II: Water System Technology|
|Published online||07 December 2018|
- A. Yilmaz, O. Javed, “Object ttracking: a survey. ACM Comput 38 (4), 1–45(2006) [CrossRef] [Google Scholar]
- A. W. M. Smeulders, D. M. Chu, R. Cucchiara, et al, Visual Tracking: An Experimental Survey. IEEE Transactions on Pattern Analysis and Machine Intelligence, 36, 1442-1468 (2013) [Google Scholar]
- Y. Wu, J. Lim, “Online object tracking: a benchmark,” in The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2411–2418 [Google Scholar]
- R. Girshick, J. Donahue, “Rich feature hierarchies for accurate object detection and semantic segmentation,” in IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR) [Google Scholar]
- R. Girshick, “Fast r-cnn,” in International Conference on Computer Vision (ICCV) [Google Scholar]
- S. Ren., K. He, “Faster r-cnn: Towards real-time object detection with region proposal networks,” in IEEE Transactions on Pattern Analysis and Machine Intelligence, 39, 1137-1149 [Google Scholar]
- K. He, G. Gkioxari, “Mask r-cnn,” in IEEE International Conference on Computer Vision (ICCV) [Google Scholar]
- C. Hua, H. Wu, Q. Chen, Toshikazu Wada. K-means Tracker: A General Algorithm for Tracking People. JOURNAL OF MULTIMEDIA, 1 (4), 46-53, 2006 [Google Scholar]
- R. Collins, “Mean-shift tracking.” [Google Scholar]
- A. Rodriguez, A. Laio, “Clustering by fast search and find of density peaks,” Science 344, 1492 (2014) [NASA ADS] [CrossRef] [PubMed] [Google Scholar]
- https://drive.google.com/file/d/1FsCJ_psaKaA9e2urjequUOEJV26EpkS/view?usp=sharing [Google Scholar]
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