Multi-task Correlation Particle Filter for Robust Object Tracking

In this paper, we propose a multi-task correlation particle filter (MCPF) for robust visual tracking. We first present the multi-task correlation filter (MCF) that takes the interdependencies among different features into account to learn correlation filters jointly. The proposed MCPF is designed to...

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Bibliographic Details

Published in:	2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) pp. 4819 - 4827
Main Authors:	Tianzhu Zhang, Changsheng Xu, Ming-Hsuan Yang
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.07.2017
Subjects:	Benchmark testing Computational efficiency Correlation Robustness Target tracking Visualization
ISSN:	1063-6919, 1063-6919
Online Access:	Get full text
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