Visual object tracking: in the simultaneous presence of scale variation and occlusion-Reference-Cited by-同舟云学术

Visual object tracking: in the simultaneous presence of scale variation and occlusion

Published:2018-01-01 Issue:1 Volume:6 Page:456-466
ISSN:2164-2583
Container-title:Systems Science & Control Engineering
language:en
Short-container-title:Systems Science & Control Engineering

Author:

Feng Fan¹²,Shen Bo¹²,Liu Hongjian³

Affiliation:

1. College of Information Science and Technology, Donghua University, Shanghai, People's Republic of China

2. Engineering Research Center of Digitalized Textile and Fashion Technology, Ministry of Education, Shanghai, People's Republic of China

3. School of Mathematics and Physics, Anhui Polytechnic University, Wuhu, Shanghai, People's Republic of China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Shanghai

Program for Professor of Special Appointment (Eastern Scholar) at Shanghai Institutions of Higher Learning of China

Publisher

Informa UK Limited

Subject

Artificial Intelligence,Control and Optimization,Control and Systems Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/21642583.2018.1536899

Reference41 articles.

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2. Bertinetto, L., Valmadre, J., Henriques, J. F., Vedaldi, A. & Torr, P. H. S. (2016, October 8–16). Fully-convolutional siamese networks for object tracking. European Conference on Computer Vision, Amsterdam, Netherlands, pp. 850–865.

3. Bolme, D. S., Beveridge, J. R., Draper, B. A. & Lui, Y. M. (2010, June 13-18). Visual object tracking using adaptive correlation filters. IEEE Conference on Computer Vision and Pattern Recognition, San Francisco, CA, USA, pp. 2544–2550.

4. Support-vector networks

5. Danelljan, M., Häger, G., Khan, F. & Felsberg, M. (2014, September 1–5). Accurate scale estimation for robust visual tracking. British Machine Vision Conference, Nottingham, UK, pp. 65.1–65.11.

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