Salient Superpixel Visual Tracking with Graph Model and Iterative Segmentation-Reference-Cited by-同舟云学术

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Salient Superpixel Visual Tracking with Graph Model and Iterative Segmentation

Published:2019-06-28 Issue:4 Volume:13 Page:821-832
ISSN:1866-9956
Container-title:Cognitive Computation
language:en
Short-container-title:Cogn Comput

Author:

Zhan Jin,Zhao Huimin^ORCID,Zheng Penggen,Wu Hefeng,Wang Leijun

Funder

National Natural Science Foundation of China

Foreign Science and Technology Cooperation Plan Project of Guangzhou Science Technology and Innovation Commission

Guangdong Provincial Application-oriented Technical Research and Development Special Fund Project

Scientific and Technological Projects of Guangdong Province

Innovation Team Project (Natural Science) of the Education Department of Guangdong Province

Innovation Research Project (Natural Science) of Education Department of Guangdong Province

National Natural Science Foundation of China Youth Fund

Zhujiang Science and Technology New Star Project of Guangzhou

Publisher

Springer Science and Business Media LLC

Subject

Cognitive Neuroscience,Computer Science Applications,Computer Vision and Pattern Recognition

Link

https://link.springer.com/content/pdf/10.1007/s12559-019-09662-y.pdf

Reference48 articles.

1. Yang C, Zhang L, Lu H, Ruan X, Yang M. Saliency detection via graph-based manifold ranking. 2013 I.E. Conference on Computer Vision and Pattern Recognition (CVPR); 2013. p. 3166–3173. https://doi.org/10.1109/CVPR.2013.407.

2. Radhakrishna A, Appu S, Kevin S, Aurelien L, Pascal F, Sabine S. Slic Superpixels Compared to State-of-the-art Superpixel Methods. IEEE Trans Pattern Anal Mach Intell (PAMI) 2012;34(11):2274–2282. https://doi.org/10.1109/TPAMI.2012.120.

3. Wang S, Lu H, Yang F, Yang M. Superpixel Tracking, In: IEEE International Conference on Computer Vision (ICCV); 2011. p. 1323–1330. https://doi.org/10.1109/ICCV.2011.6126385.

4. Carsten R, Vladimir K, Grabcut AB. Interactive foreground extraction using iterated graph cuts. ACM Trans Graph (TOG) 2004;23(3):309–314. https://doi.org/10.1145/1186562.1015720.

5. Yan Y, Ren J, Zhao H, Sun G, Wang Z, Zheng J, Stephen M, John S. Cognitive fusion of thermal and visible imagery for effective detection and tracking of pedestrians in videos. Cogn Comput. 2017;(9):1–11. https://doi.org/10.1007/s12559-017-9529-6.

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