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End-to-End Feature Integration for Correlation Filter Tracking With Channel Attention

Li, Dongdong; Wen, Gongjian; Kuai, Yangliu; Porikli, Fatih

Description

Recently, the performance advancement of discriminative correlation filter (DCF) based trackers is predominantly driven by the use of deep convolutional features. As convolutional features from multiple layers capture different target information, existing works integrate hierarchical convolutional features to enhance target representation. However, these works separate feature integration from DCF learning and hardly benefit from end-to-end training. In this letter, we incorporates feature...[Show more]

CollectionsANU Research Publications
Date published: 2018
Type: Journal article
URI: http://hdl.handle.net/1885/210639
Source: IEEE Signal Processing Letters
DOI: 10.1109/LSP.2018.2877008

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