Arakawa Kaoru
   Department   Undergraduate School  , School of Interdisciplinary Mathematical Sciences
   Position   Professor
Language English
Publication Date 2020/12
Type International Conference
Peer Review Peer reviewed
Title Visual Tracking via Spatial-Temporal Regularized Correlation Filters with Advanced State Estimation
Contribution Type Co-authored (other than first author)
Journal Proc. APSIPA ASC 2020
Journal TypeAnother Country
Publisher IEEE
Volume, Issue, Page pp.1145-1149
Total page number 5
Authorship Corresponding author
Author and coauthor Z. Tang, K. Arakawa
Details Discriminative correlation filter (CF) based visual trackers achieves outstanding performance with the handcrafted feature in visual tracking. In this work, based on the discriminative correlation filter, we propose a new Spatial-Temporal regularized correlation filters with advanced state estimation (CFASE) to achieve more significant tracking performance.