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Learning Padless Correlation Filters for Boundary-effect Free Tracking

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


Recently, discriminative correlation filters (DCFs) have achieved enormous popularity in the tracking community due to high accuracy and beyond real-time speed. Among different DCF variants, spatially regularized discriminative correlation filters (SRDCFs) demonstrate excellent performance in suppressing boundary effects induced from circularly shifted training samples. However, SRDCF have two drawbacks which may be the bottlenecks for further performance improvement. First, SRDCF needs to...[Show more]

CollectionsANU Research Publications
Date published: 2018
Type: Journal article
Source: IEEE Sensors Journal
DOI: 10.1109/JSEN.2018.2861912
Access Rights: Open Access


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