Kernelized Correlation Filter Target Tracking Algorithm Based on Saliency Feature Selection-Reference-Cited by-同舟云学术

Kernelized Correlation Filter Target Tracking Algorithm Based on Saliency Feature Selection

Published:2019 Issue: Volume: Page:166-178
ISSN:1865-0929
Container-title:Communications in Computer and Information Science
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Author:

Liu Minghua,Ren Zhikao,Wang Chuansheng,Wang Xianlun

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-15-0121-0_13

Reference17 articles.

1. Zhang, T.Z., Xu, C.S., Yang, M.H.: Learning multi-task correlation particle filters for visual tracking. IEEE Transact. Pattern Anal. Mach. Intell. 41(2), 365–378 (2019)

2. Ma, C., Yang, X., Zhang, C.: Long-term correlation tracking. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 5388–5396. IEEE (2015)

3. Ross, D.A., Lim, J., Lin, R.S., Yang, M.H.: Incremental Learning for Robust Visual Tracking. Adv. Neural. Inf. Process. Syst. 77(1–3), 125–141 (2008)

4. Kwon, J., Lee, K.M.: Visual Tracking Decomposition. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 1269–1276. IEEE (2010)

5. He, S., Yang, Q., Lau, R.W.H.: Visual tracking via locality sensitive histograms. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 2427–2434. IEEE (2013)

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