MSST-ResNet: Deep multi-scale spatiotemporal features for robust visual object tracking-Reference-Cited by-同舟云学术

MSST-ResNet: Deep multi-scale spatiotemporal features for robust visual object tracking

Published:2019-01 Issue: Volume:164 Page:235-252
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Liu Bing,Liu Qiao,Zhu Zhengyu,Zhang Taiping,Yang Yong

Funder

National Natural Science Foundation of China

Chongqing Key Laboratory of Software Theory and Technology, Chongqing, China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference63 articles.

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4. M. Kristan, J. Matas, A. Leonardis, M. Felsberg, L. Cehovin, G. Fernández, T. Vojir, G. Hager, G. Nebehay, R. Pflugfelder, The visual object tracking vot2015 challenge results, in: Proceedings of the IEEE International Conference on Computer Vision Workshops, 2015, pp. 1–23.

5. Accurate scale estimation for robust visual tracking;Danelljan,2014

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