Deep Correlation Tracking with Backtracking-Reference-Cited by-同舟云学术

Deep Correlation Tracking with Backtracking

Published:2017 Issue:7 Volume:E100.A Page:1601-1605
ISSN:0916-8508
Container-title:IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
language:en
Short-container-title:IEICE Trans. Fundamentals

Author:

XU Yulong¹,LI Yang¹,WANG Jiabao¹,MIAO Zhuang¹,LI Hang¹,ZHANG Yafei¹,TAO Gang²

Affiliation:

1. College of Command Information Systems, PLA University of Science and Technology

2. Key Lab of Urban ITS Technology Optimization and Integration in Ministry of Public Security, Anhui Keli Information Industry Co. Ltd.

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computer Graphics and Computer-Aided Design,Signal Processing

Link

https://www.jstage.jst.go.jp/article/transfun/E100.A/7/E100.A_1601/_pdf

Reference22 articles.

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2. [2] X. Cheng, N. Li, T. Zhou, Z. Wu, and L. Zhou, “Multi-task object tracking with feature selection,” IEICE Trans. Fundamentals, vol.E98-A, no.6, pp.1351-1354, June 2015.

3. [3] Y. Wu, J. Lim, and M.-H. Yang, “Online object tracking: A benchmark,” Proc. IEEE Conf. Comput. Vis. Patt. Recog., pp.2411-2418, Portland, USA, June 2013. 10.1109/cvpr.2013.312

4. [4] N. Wang, J. Shi, D. Yeung, and J. Jia, “Understanding and diagnosing visual tracking systems,” Proc. IEEE Int. Conf. Comput. Vis., pp.3101-3109, Santiago, Chile, Dec. 2015. 10.1109/iccv.2015.355

5. [5] J.F. Henriques, R. Caseiro, P. Martins, and J. Batista, “Exploiting the circulant structure of tracking-by-detection with kernels,” Proc. European Conf. Comput. Vis., pp.702-715, Oct. Florence, Italy, 2012. 10.1007/978-3-642-33765-9_50