Collaborative model tracking with robust occlusion handling-Reference-Cited by-同舟云学术

Collaborative model tracking with robust occlusion handling

Published:2020-05-21 Issue:9 Volume:14 Page:1701-1709
ISSN:1751-9667
Container-title:IET Image Processing
language:en
Short-container-title:IET Image Processing

Author:

Kong Jun¹,Ding Yitao¹,Jiang Min¹^ORCID,Li Sha²

Affiliation:

1. Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational IntelligenceJiangnan UniversityWuxi214122People's Republic of China

2. Jiangsu Key Construction Laboratory of IoT Application TechnologyWuxi Taihu UniversityWuxi214064People's Republic of China

Funder

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-ipr.2019.0827

Reference36 articles.

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2. 2012 European Conf. on Computer Vision Florence Italy J.F. Henriques R. Caseiro P. Martins Exploiting the circulant structure of tracking‐by‐detection with kernels 702 715

3. 2014 Proc. of the IEEE Conf. on Computer Vision and Pattern Recognition Columbus OH USA M. Danelljan F. Shahbaz Khan M. Felsberg Adaptive color attributes for real‐time visual tracking 1090 1097

4. High-Speed Tracking with Kernelized Correlation Filters

5. 2014 European Conference on Computer Vision Zurich Switzerland Y. Li J. Zhu A scale adaptive kernel correlation filter tracker with feature integration 254 265

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